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<h2>About this training course</h2>
<p><strong>Business Impact:</strong> The main aim is to provide insight and understanding of data analytics and machine learning principles through applications. Field data is used to explain data-analysis workflows. Using easy to follow solution scripts, the participants will assess and extract value from the data sets. Hands-on solution approach will give them confidence to try out applicable techniques on data from their field assets.</p>
<p>Data analysis means cleaning, inspecting, transforming, and modeling data with the goal of discovering new, useful information and supporting decision-making. In this hands-on 2-day training course, the participants learn some data analysis and data science techniques and workflows applied to petroleum production (specifically artificial lift) while reviewing code and practicing. The focus is on developing data-driven models while keeping our feet closer to the underlying oil and gas production principles.</p>
<p><strong>Unique Features:</strong></p>
<ul>
<li><strong><em>Eight business use cases</em></strong> covering their business impact, code walkthroughs for most all and solution approach.</li>
<li><strong><em>Industry data sets</em></strong> for participants to practice on and take home.</li>
<li>No software or complicated Python frameworks required.</li>
</ul>
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Training Objectives 

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<p>After the completion of this training course, participants will be able to:</p>
<ul>
<li>Understand digital oil field transformation and its impact on business</li>
<li>Examine machine learning methods</li>
<li>Review workflows and code implementations</li>
<li>After completing the course, participants will have a set of tools and some pathways to model and analyze their data in the cloud, find trends, and develop data-driven models</li>
</ul>
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Target Audience 

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<p>This training course is suitable and will greatly benefit the following specific groups:</p>
<ul>
<li>Artificial lift, production and facilities engineers and students to enhance their knowledge base, increase technology awareness, and improve the facility with different data analysis techniques applied on large data sets</li>
</ul>
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Course Level 

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<li>Intermediate</li>
<li>Advanced</li>
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Training Methods 

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<p><span>The course discusses several business use-cases that are amenable to data-driven workflows. For each use case, the instructor will show the solution using a data analysis technique with Python code deployed in the Google cloud. Trainees will solve a problem and tweak their solution.</span></p>
<p><em><span>Course Duration: 2 days in total (14 hours).</span></em></p>
<p><strong><span>Training Schedule</span></strong></p>
<p><span>0830 - Registration </span><span>0900 - Start of training </span><span>1030 - Morning Break </span><span>1045 - Training recommences </span><span>1230 - Lunch Break </span><span>1330 - Training recommences </span><span>1515 - Evening break </span><span>1530 - Training recommences </span><span>1700 - End of Training</span></p>
<p><span>The maximum number of participants allowed for this training course is 20.</span></p>
<p>This course is also available through our Virtual Instructor Led Training (VILT) format.</p>
<p><strong>Prerequisites:</strong></p>
<ul>
<li>Understanding of petroleum production concepts</li>
<li>Knowledge of Python is not a must but preferred to get the full benefit.</li>
<li>The training will use the Google Collaboratory environment available in Google-Cloud for hands-on exercises</li>
<li>Trainees will need to bring a computer with a Google Chrome browser and a Google email account (available for free)</li>
</ul>
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Trainer

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<p>Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA.</p>
<p><strong>Highlighted Work Experience: </strong></p>
<ul>
<li>At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe.</li>
<li>Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements.</li>
<li>Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics.</li>
<li>Developed a workshop on digital oilfield approaches for production engineers.</li>
</ul>
<p><strong>Patents:</strong></p>
<ul>
<li>Principal inventor: 'Smarter Slug Flow Conditioning and Control'</li>
<li>Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells'</li>
<li>Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution'</li>
</ul>
<p><strong>Worldwide Experience in Training / Seminar / Workshop Deliveries:</strong></p>
<ul>
<li>Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&amp;T, Louisiana State, U of Southern California, and U of Houston.</li>
<li>He has conducted seminars, bespoke trainings / workshops globally for practicing professionals:
<ul>
<li><u>Companies:</u> Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others.</li>
<li><u>Countries:</u> USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela.</li>
<li>Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic.</li>
</ul>
</li>
</ul>
</div>
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POST TRAINING COACHING SUPPORT (OPTIONAL)

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<p>To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.<br />
Request for further information post training support and fees applicable</p>
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Accreditions And Affliations

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</section>

EnergyEdge - Training for a Sustainable Energy Future

Renewable Energy

Oil & Gas

Data Analytics Workflows for Artificial Lift, Production and Facility Engineers

Team of 10, pp

Normal Fee, pp

<p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This training in-person programme will provide those involved at any stage of the process for procuring goods and/or services within their organisations with the knowledge and skillset to identify and mitigate the threat posed by the breadth and multi-layered complexity of procurement fraud and corruption.</p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course objectives</strong></p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course aims to increase and enhance delegates&rsquo; understanding of the various procurement fraud and corruption threats which impact upon them and the organisations, sectors and regions in which they operate and provide them with the tools necessary to mitigate those threats.</p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Who should attend</strong></p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course is aimed at a wide range of people since financial crime impacts upon every sector and at every level since it continues to manifest itself globally. Thus, it would be of value to those working in:</p><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Supply chain risk management professionals</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Public and private sector</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Risk and compliance professionals</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Those organisations that are expanding into emerging markets, joint ventures and mergers</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Accountants and auditors</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Project organisations</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Procurement fraud and corruption investigators</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Organisations subject to external sanctions and wish to show a holistic lessons learnt approach</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course outline</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Nature and scope of procurement fraud</li><li fr-original-style="" style="box-sizing: border-box;">Manipulation of the procurement process with global case examples and live case studies provided to illustrate each step in the manipulation process</li><li fr-original-style="" style="box-sizing: border-box;">Examination and analysis of individual and/or organised crime within the procurement cycle</li><li fr-original-style="" style="box-sizing: border-box;">Creation of a procurement fraud risk lifecycle within an organisation</li><li fr-original-style="" style="box-sizing: border-box;">Examination of the essential components for an effective and robust due diligence process and related procedures</li><li fr-original-style="" style="box-sizing: border-box;">Collection, collation, exploration and evaluation of the data sources available to profile procurement fraud risk within an organisation</li><li fr-original-style="" style="box-sizing: border-box;">Creating anonymous procurement fraud and corruption reporting vectors including hotlines and whistle-blower protection frameworks</li><li fr-original-style="" style="box-sizing: border-box;">Exploring the nature and impact of the use of technology and data analytics to identify actual and potential procurement fraud and corruption</li><li fr-original-style="" style="box-sizing: border-box;">Procurement fraud and corruption typologies from a national, regional and global perspective</li><li fr-original-style="" style="box-sizing: border-box;">Designing of an organisational risk mitigation framework</li><li fr-original-style="" style="box-sizing: border-box;">Creation and operation of a rapid and systematic anti-corruption and procurement fraud response</li><li fr-original-style="" style="box-sizing: border-box;">Creation and management of an effective counter fraud culture</li><li fr-original-style="" style="box-sizing: border-box;">Determination of the tender process with the identification of choke points and areas of vulnerability</li><li fr-original-style="" style="box-sizing: border-box;">Establishing and monitoring of conflicts of interest</li><li fr-original-style="" style="box-sizing: border-box;">Obtaining and maintaining an independent quality assurance mechanism</li><li fr-original-style="" style="box-sizing: border-box;">Identifying and utilising a range of fraud identification and analysis tools and techniques</li><li fr-original-style="" style="box-sizing: border-box;">Determining and detailing various specialist and technical support functions and personnel</li><li fr-original-style="" style="box-sizing: border-box;">Using data to create an operational, tactical and strategic response</li></ul><div fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course administration</strong></div><div fr-original-style="" style="box-sizing: border-box;">This course can be provided at the clients location as a 2 or 3 day course dependent on their education and awareness requirements.<br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></div><div fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"></strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course Instructor</strong></div><div fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></div><img src="https://images.cademy.co.uk/77842eb4-001c-4e19-9d72-b04b772377b2/8da06b17-cfed-4ced-b668-8e1a80ffcc74/original.jpeg" style="width: 170px; display: inline-block; vertical-align: bottom; margin: 5px 0px; text-align: left; cursor: auto; max-width: calc(100% - 5px); float: left; padding: 0px 1px; user-select: none; position: relative; box-sizing: border-box;" fr-original-style="width: 170px; display: inline-block; vertical-align: bottom; margin: 5px 0px; text-align: left; cursor: auto; max-width: calc(100% - 5px); float: left;" fr-original-class="fr-draggable"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">S</span></strong><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="font-family: Cambria, serif; box-sizing: border-box;" fr-original-style="font-family: Cambria, serif;">teve has over 25 years and extensive professional expertise in procurement fraud and corruption risk identification and the design of risk frameworks to combat the impact of revenue loss</span></strong></span><span style="font-family: Cambria, serif; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-family: Cambria, serif; color: rgb(0, 0, 0);">&nbsp;</span></p><p style="margin: 0cm 0cm 8pt; font-size: 11pt; font-family: Calibri, sans-serif; color: var(--text); box-sizing: border-box;" fr-original-style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'><span style="font-family: Cambria, serif; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-family: Cambria, serif; color: rgb(0, 0, 0);">Steve is the Company Director of Global Risk Alliance Ltd and the author of Procurement fraud and Corruption: How to identify and mitigate procurement fraud and corruption risk. &nbsp;He was the technical working group lead for the design and creation of British Standard BS10501: Guide to implementing Procurement Fraud Controls.</span><span style="font-family: Cambria, serif; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-family: Cambria, serif; color: rgb(0, 0, 0);"><br fr-original-style="" style="box-sizing: border-box;"></span></p><p style="margin: 0cm 0cm 8pt; font-size: 11pt; font-family: Calibri, sans-serif; color: var(--text); box-sizing: border-box;" fr-original-style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'><span style="font-family: Cambria, serif; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-family: Cambria, serif; color: rgb(0, 0, 0);">A former Head of Intelligence and Head of Anti-corruption capabilities in UK Law Enforcement involved in the investigation of high value and complex fraud and corruption cases both in the UK and internationally. He was also part of the UK Working Group on Bribery in International Business.</span></p><p style="margin: 0cm 0cm 8pt; font-size: 11pt; font-family: Calibri, sans-serif; text-align: justify; color: var(--text); box-sizing: border-box;" fr-original-style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;text-align:justify;'><span style="font-family: Cambria, serif; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-family: Cambria, serif; color: rgb(0, 0, 0);">He is the former Global Corruption Risk Advisor to the Chartered Institute of Procurement and Supply advising members on contract risk review and risk identification and mitigation approach. He has provided international consultancy and training programmes in various sectors including oil and gas, engineering, public sector, retail, media and local government in the Middle East, Australia, Kazakhstan, UK, West Africa and Indonesia.</span></p>

This organisation In-Person training programme will provide those involved at any stage of the process for procuring goods and/or services within their organisations with the knowledge and skillset to identify and mitigate the threat posed by the breadth and multi-layered complexity of procurement fraud and corruption.
Course objectives
This course aims to increase and enhance delegates’ understanding of the various procurement fraud and corruption threats which impact upon them and the organisations, sectors and regions in which they operate and provide them with the tools necessary to mitigate those threats.
Who should attend
This course is aimed at a wide range of people since financial crime impacts upon every sector and at every level since it continues to manifest itself globally. Thus, it would be of value to those working in:
Supply chain risk management professionals
Public and private sector
Risk and compliance professionals
Those organisations that are expanding into emerging markets, joint ventures and mergers
Accountants and auditors
Project organisations
Procurement fraud and corruption investigators
Organisations subject to external sanctions and wish to show a holistic lessons learnt approach
Course outline
Nature and scope of procurement fraud
Manipulation of the procurement process with global case examples and live case studies provided to illustrate each step in the manipulation process
Examination and analysis of individual and/or organised crime within the procurement cycle
Creation of a procurement fraud risk lifecycle within an organisation
Examination of the essential components for an effective and robust due diligence process and related procedures
Collection, collation, exploration and evaluation of the data sources available to profile procurement fraud risk within an organisation
Creating anonymous procurement fraud and corruption reporting vectors including hotlines and whistle-blower protection frameworks
Exploring the nature and impact of the use of technology and data analytics to identify actual and potential procurement fraud and corruption
Procurement fraud and corruption typologies from a national, regional and global perspective
Designing of an organisational risk mitigation framework
Creation and operation of a rapid and systematic anti-corruption and procurement fraud response
Creation and management of an effective counter fraud culture
Determination of the tender process with the identification of choke points and areas of vulnerability
Establishing and monitoring of conflicts of interest
Obtaining and maintaining an independent quality assurance mechanism
Identifying and utilising a range of fraud identification and analysis tools and techniques
Determining and detailing various specialist and technical support functions and personnel
Using data to create an operational, tactical and strategic response
Course administration: This course can be provided at the clients location as a 2 or 3 day course dependent on their education and awareness requirements.

Course Instructor

Steve has over 25 years and extensive professional expertise in procurement fraud and corruption risk identification and the design of risk frameworks to combat the impact of revenue loss 
Steve is the Company Director of Global Risk Alliance Ltd and the author of Procurement fraud and Corruption: How to identify and mitigate procurement fraud and corruption risk. He was the technical working group lead for the design and creation of British Standard BS10501: Guide to implementing Procurement Fraud Controls.

A former Head of Intelligence and Head of Anti-corruption capabilities in UK Law Enforcement involved in the investigation of high value and complex fraud and corruption cases both in the UK and internationally. He was also part of the UK Working Group on Bribery in International Business.
He is the former Global Corruption Risk Advisor to the Chartered Institute of Procurement and Supply advising members on contract risk review and risk identification and mitigation approach. He has provided international consultancy and training programmes in various sectors including oil and gas, engineering, public sector, retail, media and local government in the Middle East, Australia, Kazakhstan, UK, West Africa and Indonesia.

Global Risk Alliance Ltd

Anti Bribery & Corruption

Our training programme will provide those involved at any stage of the process for procuring goods and/or services within their organisations with the knowledge and skillset to identify and mitigate the threat posed by the breadth and multi-layered complexity of procurement fraud and corruption.

How to identify and mitigate procurement fraud and corruption 

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<h2 fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">About this Training Course</strong><em fr-original-style="" style="box-sizing: border-box;">&nbsp;</em></h2>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This 3 full-day training course will introduce participants to the Microsoft Power BI<sup fr-original-style="" style="box-sizing: border-box;">&reg;</sup>&nbsp;software solution for extracting, manipulating, visualising and analysing data. This is a very practical, hands-on course that takes participants through a series of exercises which help users understand the Power BI<sup fr-original-style="" style="box-sizing: border-box;">&reg;</sup>&nbsp;environment, how to use the key areas of functionality, and how to apply the tools it contains to design and produce analyses of their own data.</p>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The first two days focus on learning the key concepts and practising these using clean, simple datasets.&nbsp;The third day provides participants with the opportunity to apply what they&#39;ve learned to their own data. This makes the course far more relevant and meaningful for them, it allows our facilitator to help them structure their data models, queries and DAX formulas correctly, and it allows our facilitator to help them solve any additional problems that may arise but which were not covered as part of the standard the course. In addition, at the end of the day, each participant walks away with something of real, practical use for their job role. Many previous participants have remarked that they obtained the most value from the course during the third day because otherwise, they wouldn&#39;t be able to do what they need to do.</p>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This is an introductory course and although it does not assume any prior experience with Power BI<sup fr-original-style="" style="box-sizing: border-box;">&reg;</sup>, participants will gain much more from the course if they have at least used Power BI<sup fr-original-style="" style="box-sizing: border-box;">&reg;</sup>&nbsp;a little prior to attending. Participants who have taught themselves Power BI<sup fr-original-style="" style="box-sizing: border-box;">&reg;</sup>&nbsp;will also benefit from attending as the course will fill-in a number of gaps in their knowledge and will also extend what they know. A general understanding of databases, Excel formulas, and Excel Pivot Tables is useful though not essential. Comprehensive course notes, exercises and completed solutions are included.</p>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><em fr-original-style="" style="box-sizing: border-box;">Microsoft&reg;&nbsp;PowerBI&reg; is a&nbsp;trademark&nbsp;of Microsoft Corporation in the United States and/or other countries.</em></strong></p>
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Training Objectives 

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<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Upon completion of this training course, participants will be able to:</p>
<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Confidently use the Power BI<sup fr-original-style="" style="box-sizing: border-box;">&reg;</sup>&nbsp;solution, including Power BI<sup fr-original-style="" style="box-sizing: border-box;">&reg;</sup>&nbsp;Desktop, PowerBI<sup fr-original-style="" style="box-sizing: border-box;">&reg;</sup>.com and the Power BI<sup fr-original-style="" style="box-sizing: border-box;">&reg;</sup>&nbsp;Gateway</li>
<li fr-original-style="" style="box-sizing: border-box;">Extract data from a variety of data sources and manipulate the data extracted so it is ready for analysis</li>
<li fr-original-style="" style="box-sizing: border-box;">Combine data sources together and gain an introductory understanding of the M language</li>
<li fr-original-style="" style="box-sizing: border-box;">Write formulas using the DAX language for generating custom columns, measures and tables</li>
<li fr-original-style="" style="box-sizing: border-box;">Design reports and dashboards using a wide range of both built-in and custom visuals</li>
<li fr-original-style="" style="box-sizing: border-box;">Publish reports and dashboards to PowerBI<sup fr-original-style="" style="box-sizing: border-box;">&reg;</sup>.com</li>
<li fr-original-style="" style="box-sizing: border-box;">Share reports and dashboards with others using PowerBI<sup fr-original-style="" style="box-sizing: border-box;">&reg;</sup>.com</li>
<li fr-original-style="" style="box-sizing: border-box;">Customize reports and dashboards so that different user groups automatically see their own personalized views</li>
</ul>
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Target Audience 

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<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This training course is intended for:</p>
<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Financial Analysts</li>
<li fr-original-style="" style="box-sizing: border-box;">Accountants</li>
<li fr-original-style="" style="box-sizing: border-box;">Budgeting and planning specialists</li>
<li fr-original-style="" style="box-sizing: border-box;">Treasury</li>
<li fr-original-style="" style="box-sizing: border-box;">Risk Managers</li>
<li fr-original-style="" style="box-sizing: border-box;">Strategic Planners</li>
</ul>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This is an introductory course and although it does not assume any prior experience with Power BI<sup fr-original-style="" style="box-sizing: border-box;">&reg;</sup>, participants will gain much more from the course if they have at least used Power BI<sup fr-original-style="" style="box-sizing: border-box;">&reg;</sup>&nbsp;a little prior to attending. Participants who have taught themselves Power BI<sup fr-original-style="" style="box-sizing: border-box;">&reg;</sup>&nbsp;will also benefit from attending as the course will fill-in a number of gaps in their knowledge and will also extend what they know. A general understanding of databases, Excel formulas, and Excel Pivot Tables is useful though not essential. Comprehensive course notes, exercises and completed solutions are included.</p>
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Course Level 

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<li fr-original-style="" style="box-sizing: border-box;">Basic or Foundation</li>
</ul>
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</div>
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<div fr-original-style="" style="box-sizing: border-box;">
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Trainer

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<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Your expert course leader has a Masters (Applied Finance &amp; Investment), B.Comm (Accounting &amp; Information Systems), CISA, FAIM, F Fin and is a Microsoft Certified Excel Expert. He has over 20 years&#39; experience in financial modelling, forecasting, valuation, model auditing, and management reporting for clients throughout the world. He is skilled in the development and maintenance of analytical tools and financial models for middle-market companies to large corporates, at all levels of complexity, in both domestic and international settings.</p>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">He has trained delegates from a wide variety of Oil &amp; Gas companies including Chevron, Woodside, BHP Billiton, Petronas, Carigali, Shell, Nippon, Eni, Pertamina, Inpex, and many more. He provides training in financial modelling for companies throughout the Asia, Oceania, Middle East and African regions.</p>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Before his current role, he spent 6 years working in the Corporate and IT Consulting divisions of a large, multinational Chartered Accounting firm.</p>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">He is the author of a number of white papers on financial modelling on subjects such as Financial Modelling Best Practices and Financial Model Auditing.</p>
<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Highlights from his oil and gas experience include:</strong></p>
<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Development of economic models to assist Decision Analysts modelling for a wide range of scenarios for multinational oil &amp; gas assets.</li>
<li fr-original-style="" style="box-sizing: border-box;">Auditing and further development of life of project models for Chevron&#39;s Strategic Planning Division analysing their North West Shelf assets.</li>
<li fr-original-style="" style="box-sizing: border-box;">Development of business plan and budgeting models for multinational oil &amp; gas assets.</li>
<li fr-original-style="" style="box-sizing: border-box;">Development of cash flow and taxation models for a variety of oil gas companies.</li>
<li fr-original-style="" style="box-sizing: border-box;">Consulting on Sarbanes Oxley spreadsheet remediation and risk assessment.</li>
</ul>
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POST TRAINING COACHING SUPPORT (OPTIONAL)

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<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">To further optimise your learning experience from our courses, we also offer individualized &#39;One to One&#39; coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.<br fr-original-style="" style="box-sizing: border-box;">
Request for further information post training support and fees applicable</p>
</div>
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Accreditions And Affliations

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</section>

Power BI® - Business Data Analytics

Kuala Lumpur

<section style="color: rgb(33, 37, 41); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(33, 37, 41);"><h2 style="color: rgb(62, 57, 52); box-sizing: border-box;" fr-original-style=" color: rgb(62, 57, 52);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">About this Classroom Training</strong></h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">In the upcoming digital era, Python stands out as the language of the future for effective AI and data analytics implementation, particularly in the Oil and Gas sector. Its widespread adoption is attributed to extensive libraries, versatility, and a thriving community of developers consistently pushing the boundaries of the field. This training course will tailor a transformative learning experience for professionals in oil and gas.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Commencing with overview in the computer programming, participants delve into programming fundamentals and set up their Python coding environment. Participants will be able to explore flow control tools and functions, unlocking the full potential of Python. Furthermore, participants will gain expertise in various programming paradigms, with a particular focus on Object-Oriented Programming (OOP), a crucial foundation for building sophisticated applications.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Participants will navigate through file handling, internal modules, and external libraries like NumPy, Pandas, and Matplotlib, providing proficiency in data manipulation and visualization tailored for the challenges of real-life projects. Through a hands-on Data Analytics Project, participants will apply their skills to a real-world dataset, derive insights, and present findings.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This comprehensive workshop equips professionals with the tools for effective automation and data analytics in the Oil and Gas sector. Participants will experience a robust understanding of Python&rsquo;s applications, ready to drive impactful and data-driven initiatives in their professional journey.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course will be delivered face-to-face over 5-day sessions, comprising of 8 hours per day, 1 hour lunch and 2 breaks of 15 minutes per day. Course Duration: 8 hours in total, 40 CPD points. Maximum number of participants: 30</p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Download your brochure</a></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="mailto:info@asiaedge.net?subject=Please Send me the Brochure for Assessment Based Training – Python Programming & Analytics for the Oil & Gas Sector – Maximising Value from Data Assets" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Email me the brochure</a></p></section><section style="color: rgb(33, 37, 41); box-sizing: border-box;" fr-original-style=" color: rgb(33, 37, 41);"><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapseOne" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">TRAINING OBJECTIVES</strong></a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Acquire a comprehensive understanding of Python syntax, including variables, data types, and fundamental programming constructs.</li><li fr-original-style="" style="box-sizing: border-box;">Apply Python programming skills to analyze industry-specific datasets, extracting meaningful insights that can inform decision-making and operational efficiency.</li><li fr-original-style="" style="box-sizing: border-box;">Demonstrate the ability to automate routine tasks and streamline workflows within the Oil and Gas sector using Python.</li><li fr-original-style="" style="box-sizing: border-box;">Develop practical solutions and strategies using Python programming for challenges commonly faced in the industry, fostering hands-on experience and problem-solving capabilities.</li><li fr-original-style="" style="box-sizing: border-box;">Gain insights into emerging trends in digital technology within the industry and how Python can be leveraged for continuous adaptation and innovation.</li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapseTwo" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">TARGET AUDIENCE</strong></a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">All Engineers and Technologists from diverse fields who are interested in utilizing Python programming and data analytics techniques to explore and address challenges within their respective domains.</li><li fr-original-style="" style="box-sizing: border-box;">Data Analysts and Scientists who working with data generated by sensors, monitoring equipment, and other sources within the industry.</li><li fr-original-style="" style="box-sizing: border-box;">IT and Automation Specialists who responsible for designing and implementing IT solutions and automation systems as well as who involve in developing and maintaining software application in the Oil and Gas sector.</li><li fr-original-style="" style="box-sizing: border-box;">Executives and Managers seeking a strategic understanding of how Python and data analytics can impact decision-making and operational efficiency in the industry.</li><li fr-original-style="" style="box-sizing: border-box;">Professionals who interest in applying Python programming and data analytics techniques to study and solve challenges in the Oil and Gas field.</li><li fr-original-style="" style="box-sizing: border-box;">Individuals from related industries or backgrounds who are transitioning into roles within the Oil and Gas sector and wish to acquire relevant Python skills.</li><li fr-original-style="" style="box-sizing: border-box;">Professionals from diverse backgrounds who recognize the growing importance of data analytics in the Oil and Gas sector and wish to enhance their skill set.</li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapsecl" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">COURSE LEVEL</strong></a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Basic</li><li fr-original-style="" style="box-sizing: border-box;">Intermediate</li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapseThree" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">TRAINING METHODS</strong></a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The trainer will employ the &lsquo;learning by doing&rsquo; method by emphasizing practical application. Participants will be introduced to the concepts and theories using techniques that they can easily relate to. The learning experience is then reinforced by implementing the subject through real-life examples. The trainer will provide quizzes and tests for self-assessment and ensuring participants can measure their understanding and apply the knowledge effectively. This hands-on approach not only enhances comprehension but also empowers participants to confidently apply the learned skills in their professional endeavors.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Preparation ahead of the Class:</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Participants are required to download the&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python 3.x</strong>&nbsp;version software onto their laptops.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The instructions are provided below:</p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Download&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Anaconda</strong>&nbsp;by visiting the Anaconda website (https://www.anaconda.com/products/distribution).</li><li fr-original-style="" style="box-sizing: border-box;">Click on the &ldquo;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Download</strong>&rdquo; button for the version that suits your operating system (Windows, macOS, Linux).</li><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Select the&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python 3.x</strong>&nbsp;version (e.g., Python 3.8) during the installation process.</li><li fr-original-style="" style="box-sizing: border-box;">Install Anaconda follow the instructions to run the installer. Install Just Me (Recommended).</li></ol></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapseFive" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">TRAINER</strong></a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Your expert trainer is a seasoned multidisciplinary engineer with a 15-year professional journey, driven by an unwavering commitment to innovation and excellence. Armed with a Ph.D. in offshore engineering, he draws extensive insights from diverse industry sectors, notably oil and gas, where he served as a subsea pipeline engineer. His hands-on experience encompasses the entire spectrum, from design and manufacturing to installation and operations of offshore oil and gas facilities.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Previously at Rosen Group, your expert trainer developed digital tools for offshore structural assessments and risk-based inspection. He led research at the ARC Offshore Floating Facilities Hub on enhancing riser design and monitoring using Python and data analytics. He performed design verification for INPEX, Chevron, and Apache on subsea pipelines, risers, umbilicals, and LNG facilities, and was a deputy project manager on verifying the Ichthys gas pipeline. He conducted risk-based inspection and auditing of the Ichthys LNG plant for DNV GL. He also worked as a structural engineer at Advanced Building Engineers designing steel structures, buildings, and other components. Meanwhile, at the University of Western Australia (UWA), your expert trainer developed AI and data solutions for the oil &amp; gas industry focused on condition monitoring and probabilistic assessments and led research on offshore facilities by creating tools for analysis and machine learning.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">His academic pursuit culminated in a thesis that underscores his proficiency in employing data science and machine learning, primarily through Python. His research focused on optimising asset integrity management for offshore oil and gas assets, showcasing a seamless integration of engineering and cutting-edge technology. In 2023, he fully unleash AI-driven solutions across diverse sectors. Currently, he actively contributes to mineral resource exploration and assists oil and gas operators in the effective implementation of new AI and digital technologies.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">His dedication to knowledge dissemination is evident through his role as a global educator. Over the past five years, he has conducted Python programming lectures at universities and industries, reaching over 1000 novices. His unwavering commitment to lifelong learning, coupled with a growth mindset have positions him as a transformative trainer in the realms of applied AI, data science, and engineering in oil and gas sector</p><section style="color: rgb(33, 37, 41); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(33, 37, 41);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Download your brochure</a></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="mailto:info@asiaedge.net?subject=Please Send me the Brochure for Assessment Based Training – Python Programming & Analytics for the Oil & Gas Sector – Maximising Value from Data Assets" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Email me the brochure</a></p></section></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapseCS" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);">POST TRAINING COACHING SUPPORT (OPTIONAL)</a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">To further optimise your learning experience from our courses, we also offer individualized &ldquo;One to One&rdquo; coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.<br fr-original-style="" style="box-sizing: border-box;"><a href="mailto:info@asiaedge.net?subject=Request%20for%20further%20information%20regarding%20post%20training%20coaching%20support" target="_blank" style="color: rgb(0, 123, 255); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(0, 123, 255);">Request for further information post training support</a>&nbsp;and fees applicable.</p></div></section>

Machine Learning (ML)

Maximize the value of data assets in the oil and gas sector with EnergyEdge's assessment-based training course on Python programming and analytics.

Assessment Based Training - Python Programming & Analytics for the Oil & Gas Sector - Maximising Value from Data Assets

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<h2>About this training</h2>
<p>The Seismic Uncertainty Evaluation (SUE) course has evolved after a number of years of work experience in the sub-surface domain. A common question closely related to well planning is the quantification and qualification of depth uncertainty and robust estimation of the volumetric ranges, and this course addresses these topics.</p>
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Training Objectives 

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<p>Upon completion of this course, participants will be able to:</p>
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<li>Define a structured approach toward seismic depth uncertainty analysis</li>
<li>Construct data analytics on seismic products (well logs, velocities, and seismic)</li>
<li>Classify advance vertical ray tomography on FWI models to assure a drill ready depth seismic, faults, surfaces, and logs</li>
<li>Interpret probabilistic volumetric and automatic spill point control, amplitude conformance closures</li>
<li>De-risk the depth uncertainty by providing drilling and completion with a risking score card</li>
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Target Audience 

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<p>This course is intended for individuals who needs to understand the basic theory and procedures for assessment/ quantification/qualification of all drill-ready products (seismic, faults, horizons, etc.)</p>
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<li>Geologist</li>
<li>Geophysicist</li>
<li>Reservoir engineer</li>
<li>Drilling engineer</li>
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Course Level 

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<li>Intermediate</li>
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Trainer

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<p>Your expert course leader is a cross-functional Geoscientist and Published Author with 27 years of international experience working in Upstream Petroleum Exploration and Production for Oil and Gas Companies in Australia, India, Singapore, Saudi Arabia, and Oman. During his career he actively supported field development, static &amp; dynamic reservoir modelling &amp; well planning, 3D Seismic data acquisition with Schlumberger &amp; SVUL, 3D seismic data processing with CGG &amp; interpretation, Q.I. and field development with Woodside, Applied Geoscience, and Reliance. </p>
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POST TRAINING COACHING SUPPORT (OPTIONAL)

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<p>To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.<br />
Request for further information post training support and fees applicable</p>
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Accreditions And Affliations

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Seismic Uncertainty Evaluation

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<h2>About this training course</h2>
<p>Gas-lift is one of the predominant forms of artificial lift used for lifting liquids from conventional, unconventional, onshore and offshore assets. Gas-lift and its various forms (intermittent lift, gas-assisted plunger lift) allows life of well lift-possibilities when selected and applied properly. This 5-day training course is designed to give participants a thorough understanding of gas-lift technology and related application concepts.</p>
<p>This training course covers main components such as application envelope, relative strengths and weaknesses of gas-lift and its different forms like intermittent lift, gas-assisted plunger lift. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion.</p>
<p><strong>Unique Features:</strong></p>
<ul>
<li>Hands-on usage of <strong>SNAP Software</strong> to solve gas-lift exercises</li>
<li>Discussion on <strong>digital oil field</strong></li>
<li><strong>Machine learning</strong> <strong>applications</strong> in gas-lift optimization</li>
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Training Objectives 

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<p>After the completion of this training course, participants will be able to:</p>
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<li>Understand the fundamental theories and procedures related to Gas-Lift operations</li>
<li>Easily recognize the different components of the gas-lift system and their basic structural and operational features</li>
<li>Be able to design a gas-lift installation</li>
<li>Comprehend how digital oilfield tools help address ESP challenges</li>
<li>Examine recent advances in real-time approaches to the production monitoring and lift management</li>
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Target Audience 

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<p>This training course is suitable and will greatly benefit the following specific groups:</p>
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<li>Production, reservoir, completion, drilling and facilities engineers, analysts, and operators</li>
<li>Anyone interested in learning about implications of gas-lift systems for their fields and reservoirs</li>
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Course Level 

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<li>Intermediate</li>
<li>Advanced</li>
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Training Methods 

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<div id="collapseThree">
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<p><span>The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization.</span></p>
<p><em><span>Course Duration: 5 days in total (35 hours).</span></em></p>
<p><strong><span>Training Schedule</span></strong></p>
<p><span>0830 - Registration </span><span>0900 - Start of training </span><span>1030 - Morning Break </span><span>1045 - Training recommences </span><span>1230 - Lunch Break </span><span>1330 - Training recommences </span><span>1515 - Evening break </span><span>1530 - Training recommences </span><span>1700 - End of Training</span></p>
<p><span>The maximum number of participants allowed for this training course is 20.</span></p>
<p>This course is also available through our Virtual Instructor Led Training (VILT) format.</p>
<p><strong>Prerequisites:</strong></p>
<ul>
<li>Understanding of petroleum production concepts.</li>
<li>Each participant needs a laptop/PC for solving class examples using software to be provided during class. Laptop/PC needs to have a current Windows operating system and at least 500 MB free disk space. Participants should have administrator rights to install software.</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Trainer

</div>
<div id="collapseFive">
<div>
<p>Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA.</p>
<p><strong>Highlighted Work Experience: </strong></p>
<ul>
<li>At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe.</li>
<li>Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements.</li>
<li>Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics.</li>
<li>Developed a workshop on digital oilfield approaches for production engineers.</li>
</ul>
<p><strong>Patents:</strong></p>
<ul>
<li>Principal inventor: 'Smarter Slug Flow Conditioning and Control'</li>
<li>Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells'</li>
<li>Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution'</li>
</ul>
<p><strong>Worldwide Experience in Training / Seminar / Workshop Deliveries:</strong></p>
<ul>
<li>Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&amp;T, Louisiana State, U of Southern California, and U of Houston.</li>
<li>He has conducted seminars, bespoke trainings / workshops globally for practicing professionals:
<ul>
<li><u>Companies:</u> Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others.</li>
<li><u>Countries:</u> USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela.</li>
<li>Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic.</li>
</ul>
</li>
</ul>
</div>
</div>
</div>
<div>
<div>

POST TRAINING COACHING SUPPORT (OPTIONAL)

</div>
<div id="collapseCS">
<div>
<p>To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.<br />
Request for further information post training support and fees applicable</p>
</div>
</div>
</div>
<div>
<div>

Accreditions And Affliations

</div>
<div id="collapseSeven">
<div>
               </div>
</div>
</div>
</div>
</section>

Gas Lift Design & Optimization using NODAL Analysis

<div>
</div>
<section>
<div>
<h2>About this training course</h2>
<p>Artificial lift systems are an important part of production operations for the entire lifecycle of an asset. Often, oil and gas wells require artificial lift for most of the life cycle. This 5-day training course offers a thorough treatment of artificial lift techniques including design and operation for production optimization. With the increasing need to optimize dynamic production in highly constrained cost environments, opportunities and issues related to real-time measurements and optimization techniques needs to be discussed and understood. Artificial lift selection and life cycle analysis are covered. These concepts are discussed and reinforced using case studies, quizzing tools, and exercises with software. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion.</p>
<p>Understanding of these important production concepts is a must have to exploit the existing assets profitably.</p>
<p><strong>Unique Features:</strong></p>
<ul>
<li>Hands-on usage of <strong>SNAP Software</strong> to solve gas-lift exercises</li>
<li>Discussion on <strong>digital oil field</strong></li>
<li><strong>Machine learning</strong> <strong>applications</strong> in gas-lift optimization</li>
</ul>
</div>
</section>
<section>
<div id="accordion">
<div>
<div>

Training Objectives 

</div>
<div id="collapseOne">
<div>
<p>After the completion of this training course, participants will be able to:</p>
<ul>
<li>Understand the basics and advanced concepts of each form of artificial lift systems including application envelope, relative strengths, and weaknesses</li>
<li>Easily recognize the different components from downhole to the surface and their basic structural and operational features</li>
<li>Design and analyze different components using appropriate software tools</li>
<li>Understand challenges facing artificial lift applications and the mitigation of these challenges during selection, design, and operation</li>
<li>Learn about the role of digital oilfield tools and techniques and their applications in artificial lift and production optimization</li>
<li>Learn about use cases of Machine learning and artificial intelligence in the artificial lift</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Target Audience 

</div>
<div id="collapseTwo">
<div>
<p>This training course is suitable and will greatly benefit the following specific groups:</p>
<ul>
<li>Production, reservoir, completion, drilling and facilities engineers, analysts, and operators</li>
<li>Anyone interested in learning about selection, design, analysis and optimum operation of artificial lift and related production systems will benefit from this course.</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Course Level 

</div>
<div id="collapsecl">
<div>
<ul>
<li>Intermediate</li>
<li>Advanced</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Training Methods 

</div>
<div id="collapseThree">
<div>
<p><span>The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization.</span></p>
<p><em><span>Course Duration: 5 days in total (35 hours).</span></em></p>
<p><strong><span>Training Schedule</span></strong></p>
<p><span>0830 - Registration </span><span>0900 - Start of training </span><span>1030 - Morning Break </span><span>1045 - Training recommences </span><span>1230 - Lunch Break </span><span>1330 - Training recommences </span><span>1515 - Evening break </span><span>1530 - Training recommences </span><span>1700 - End of Training</span></p>
<p><span>The maximum number of participants allowed for this training course is 20.</span></p>
<p>This course is also available through our Virtual Instructor Led Training (VILT) format.</p>
<p><strong>Prerequisites:</strong></p>
<ul>
<li>Understanding of petroleum production concepts.</li>
<li>Each participant needs a laptop/PC for solving class examples using software to be provided during class. Laptop/PC needs to have a current Windows operating system and at least 500 MB free disk space. Participants should have administrator rights to install software.</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Trainer

</div>
<div id="collapseFive">
<div>
<p>Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA.</p>
<p><strong>Highlighted Work Experience: </strong></p>
<ul>
<li>At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe.</li>
<li>Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements.</li>
<li>Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics.</li>
<li>Developed a workshop on digital oilfield approaches for production engineers.</li>
</ul>
<p><strong>Patents:</strong></p>
<ul>
<li>Principal inventor: 'Smarter Slug Flow Conditioning and Control'</li>
<li>Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells'</li>
<li>Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution'</li>
</ul>
<p><strong>Worldwide Experience in Training / Seminar / Workshop Deliveries:</strong></p>
<ul>
<li>Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&amp;T, Louisiana State, U of Southern California, and U of Houston.</li>
<li>He has conducted seminars, bespoke trainings / workshops globally for practicing professionals:
<ul>
<li><u>Companies:</u> Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others.</li>
<li><u>Countries:</u> USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela.</li>
<li>Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic.</li>
</ul>
</li>
</ul>
</div>
</div>
</div>
<div>
<div>

POST TRAINING COACHING SUPPORT (OPTIONAL)

</div>
<div id="collapseCS">
<div>
<p>To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.<br />
Request for further information post training support and fees applicable</p>
</div>
</div>
</div>
<div>
<div>

Accreditions And Affliations

</div>
<div id="collapseSeven">
<div>
               </div>
</div>
</div>
</div>
</section>

Artificial Lift and Real-Time Production Optimization in Digital Oilfield

<p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This training programme will provide those involved at any stage of the process for procuring goods and/or services within their organisations with the knowledge and skillset to identify and mitigate the threat posed by the breadth and multi-layered complexity of procurement fraud and corruption.</p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course objectives</strong></p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course aims to increase and enhance delegates&rsquo; understanding of the various procurement fraud and corruption threats which impact upon them and the organisations, sectors and regions in which they operate and provide them with the tools necessary to mitigate those threats.</p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Who should attend</strong></p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course is aimed at a wide range of people since financial crime impacts upon every sector and at every level since it continues to manifest itself globally. Thus, it would be of value to those working in:</p><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Supply chain risk management professionals</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Public and private sector</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Risk and compliance professionals</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Those organisations that are expanding into emerging markets, joint ventures and mergers</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Accountants and auditors</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Project organisations</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Procurement fraud and corruption investigators</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Organisations subject to external sanctions and wish to show a holistic lessons learnt approach</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course outline</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Nature and scope of procurement fraud</li><li fr-original-style="" style="box-sizing: border-box;">Manipulation of the procurement process with global case examples and live case studies provided to illustrate each step in the manipulation process</li><li fr-original-style="" style="box-sizing: border-box;">Examination and analysis of individual and/or organised crime within the procurement cycle</li><li fr-original-style="" style="box-sizing: border-box;">Creation of a procurement fraud risk lifecycle within an organisation</li><li fr-original-style="" style="box-sizing: border-box;">Examination of the essential components for an effective and robust due diligence process and related procedures</li><li fr-original-style="" style="box-sizing: border-box;">Collection, collation, exploration and evaluation of the data sources available to profile procurement fraud risk within an organisation</li><li fr-original-style="" style="box-sizing: border-box;">Creating anonymous procurement fraud and corruption reporting vectors including hotlines and whistle-blower protection frameworks</li><li fr-original-style="" style="box-sizing: border-box;">Exploring the nature and impact of the use of technology and data analytics to identify actual and potential procurement fraud and corruption</li><li fr-original-style="" style="box-sizing: border-box;">Procurement fraud and corruption typologies from a national, regional and global perspective</li><li fr-original-style="" style="box-sizing: border-box;">Designing of an organisational risk mitigation framework</li><li fr-original-style="" style="box-sizing: border-box;">Creation and operation of a rapid and systematic anti-corruption and procurement fraud response</li><li fr-original-style="" style="box-sizing: border-box;">Creation and management of an effective counter fraud culture</li><li fr-original-style="" style="box-sizing: border-box;">Determination of the tender process with the identification of choke points and areas of vulnerability</li><li fr-original-style="" style="box-sizing: border-box;">Establishing and monitoring of conflicts of interest</li><li fr-original-style="" style="box-sizing: border-box;">Obtaining and maintaining an independent quality assurance mechanism</li><li fr-original-style="" style="box-sizing: border-box;">Identifying and utilising a range of fraud identification and analysis tools and techniques</li><li fr-original-style="" style="box-sizing: border-box;">Determining and detailing various specialist and technical support functions and personnel</li><li fr-original-style="" style="box-sizing: border-box;">Using data to create an operational, tactical and strategic response</li></ul><div fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course Instructor</strong></div><div fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></div><img src="https://images.cademy.co.uk/77842eb4-001c-4e19-9d72-b04b772377b2/8da06b17-cfed-4ced-b668-8e1a80ffcc74/original.jpeg" style="width: 170px; display: inline-block; vertical-align: bottom; margin: 5px 0px; text-align: left; cursor: auto; max-width: calc(100% - 5px); float: left; padding: 0px 1px; user-select: none; position: relative; box-sizing: border-box;" fr-original-style="width: 170px; display: inline-block; vertical-align: bottom; margin: 5px 0px; text-align: left; cursor: auto; max-width: calc(100% - 5px); float: left;" fr-original-class="fr-draggable"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">S</span></strong><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="font-family: Cambria, serif; box-sizing: border-box;" fr-original-style="font-family: Cambria, serif;">teve has over 25 years and extensive professional expertise in procurement fraud and corruption risk identification and the design of risk frameworks to combat the impact of revenue loss</span></strong></span><span style="font-family: Cambria, serif; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-family: Cambria, serif; color: rgb(0, 0, 0);">&nbsp;</span></p><p style="margin: 0cm 0cm 8pt; font-size: 11pt; font-family: Calibri, sans-serif; color: var(--text); box-sizing: border-box;" fr-original-style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'><span style="font-family: Cambria, serif; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-family: Cambria, serif; color: rgb(0, 0, 0);">Steve is the Company Director of Global Risk Alliance Ltd and the author of Procurement fraud and Corruption: How to identify and mitigate procurement fraud and corruption risk. &nbsp;He was the technical working group lead for the design and creation of British Standard BS10501: Guide to implementing Procurement Fraud Controls.</span></p><p style="margin: 0cm 0cm 8pt; font-size: 11pt; font-family: Calibri, sans-serif; color: var(--text); box-sizing: border-box;" fr-original-style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'><span style="font-family: Cambria, serif; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-family: Cambria, serif; color: rgb(0, 0, 0);"><br fr-original-style="" style="box-sizing: border-box;"></span></p><p style="margin: 0cm 0cm 8pt; font-size: 11pt; font-family: Calibri, sans-serif; color: var(--text); box-sizing: border-box;" fr-original-style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'><span style="font-family: Cambria, serif; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-family: Cambria, serif; color: rgb(0, 0, 0);">A former Head of Intelligence and Head of Anti-corruption capabilities in UK Law Enforcement involved in the investigation of high value and complex fraud and corruption cases both in the UK and internationally. He was also part of the UK Working Group on Bribery in International Business.</span></p><p style="margin: 0cm 0cm 8pt; font-size: 11pt; font-family: Calibri, sans-serif; text-align: justify; color: var(--text); box-sizing: border-box;" fr-original-style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;text-align:justify;'><span style="font-family: Cambria, serif; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-family: Cambria, serif; color: rgb(0, 0, 0);">He is the former Global Corruption Risk Advisor to the Chartered Institute of Procurement and Supply advising members on contract risk review and risk identification and mitigation approach. He has provided international consultancy and training programmes in various sectors including oil and gas, engineering, public sector, retail, media and local government in the Middle East, Australia, Kazakhstan, UK, West Africa and Indonesia.</span></p>

This organisation training programme will provide students involved at any stage of the business management and operations process with the knowledge and skillset to assess the bribery and corruption risk that an organisation or project faces and identify opportunities to mitigate potential threats.
Course objectives
This course aims to increase and enhance delegates’ understanding of the various bribery, corruption and associated financial crime and money laundering threats that can impact their organisation, sector and region in which they operate and provide a risk assessment methodology that assists an operational, management and strategic mitigation response to risk.
Who should attend
This course is aimed at a leaders, management and staff that are actively involved in the bribery and corruption risk assessment process. It is recommended that a broad range of expertise is involved as part of a risk assessment approach, thus, this training programme would be of value to those working in:
Supply chain risk management professionals
Public and private sector
Risk and compliance professionals
Those organisations that are expanding into emerging markets, joint ventures and mergers
Accountants and auditors
Project organisations
Procurement fraud and corruption investigators
Organisations subject to external sanctions and wish to show a holistic lessons learnt approach
Course outline
Nature and scope of bribery, corruption and associated financial crime and money laundering methodology
Risk assessment concept and methodology
Planning approach to corruption risk assessment
Comparative analysis of current risk assessment approach with global best practice to identify potential risks with the current approach to risk
Identifying data sources that support a corruption risk assessment
Insider threat indicators and consequences
Creating an anti-corruption environment and the benefit in introducing a total quality ownership approach
External bribery risk indicators and barriers including financial crime and money laundering threats
The benefits and method of introducing a risk model as part of an annual risk assessment
Risk assessment methodology within projects
Creating a corruption response plan
Designing of an organisational risk mitigation framework
How to introduce a decision making and change management response to bribery and corruption risk
Course Instructor

Steve has over 25 years and extensive professional expertise in procurement fraud and corruption risk assessment, identification and analysis including the design of risk frameworks to combat the impact of revenue loss.
Steve is the Company Director of Global Risk Alliance Ltd and the author of Procurement fraud and Corruption: How to identify and mitigate procurement fraud and corruption risk. He was the technical working group lead for the design and creation of British Standard BS10501: Guide to implementing Procurement Fraud Controls.
In addition to his consultancy work, Steve provides global and virtual training programmes to clients in the field of anti-corruption, anti-money laundering and terrorist financial, countering procurement fraud and associated financial crime risks. The programmes have provided to both public and private sectors, law enforcement and not for profit.
A former Head of Intelligence and Head of Anti-corruption capabilities in UK Law Enforcement involved in the investigation of high value and complex fraud and corruption cases both in the UK and internationally. He was also part of the UK Working Group on Bribery in International Business.
He is the former Global Corruption Risk Advisor to the Chartered Institute of Procurement and Supply advising members on contract risk review and risk identification and mitigation approach. He has provided international consultancy and training programmes in various sectors including oil and gas, engineering, public sector, retail, media and local government in the Middle East, Australia, Kazakhstan, UK, West Africa and Indonesia.

Procurement & Supply

Corporate Affairs

Fraud Awareness

Our training programme will provide those involved at any stage of the process for procuring goods and/or services within their organisations with the knowledge and skillset to identify and mitigate the threat posed by the breadth and multi-layered complexity of procurement fraud, corruption and associated financial crime and money laundering.

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