115 Enterprise courses

Microsoft Project Orange Belt® 2013 This workshop gives participants a full insight into creating effective schedules using Microsoft® Project 2013, allowing you to estimate, coordinate, budget, staff, and control projects and support other users. This workshop gives participants a full insight into creating effective schedules using Microsoft® Project 2013, allowing you to estimate, coordinate, budget, staff, and control projects and support other users. This workshop provides the eBook Dynamic Scheduling with Microsoft® Project 2013, and is kept up to date with the framework of knowledge outlined by the Project Management Institute's PMBOK® Guide and the Practice Standard for Scheduling. What you Will Learn You'll learn how to: Understand what's new in Project 2013 Explain where Project 2013 fits in the Microsoft® EPM solution Initialize Project 2013 to start project planning Create a well-formed project schedule Understand task types and the schedule formula Assign resources and costs to tasks Analyze resource utilization and optimize the schedule Set a baseline and track progress Create and manage project reports Customize views and fields Apply Earned Value Management Understand the basics of managing multiple projects Getting Started Introductions Course structure Course goals and objectives Enterprise Project Management Concepts and Framework Getting Started with Project 2013 Project 2013: What's New and General Overview Setting Up a New Project Schedule (templates, options, save, etc.) Setting the Project Calendar Entering Tasks The Planning Processes Importing Tasks (Word, Excel, SharePoint) Synchronizing with SharePoint Tasks List Creating and managing the WBS (include tasks, manually scheduled tasks, summary tasks and milestones, as well as custom WBS coding) Entering Estimates Tendencies in Estimating The Rolling Wave Approach Entering Duration and Work Estimates Types of Tasks Entering Dependencies The Principle of Dynamic Scheduling Choosing the Right Type of Dependency Entering Dependencies in Project 2013 Different Applications of Dependencies Entering Deadlines, Constraints, and Task Calendars Use of Deadlines and Constraints Entering Deadlines and Constraints in Project 2013 Entering Resources and Costs Types of Resources Entering Resources in Project 2013 Calendars and Resources Entering Costs in Project 2013 Entering Assignments Assignments in a Schedule Assignments and Task Types Entering Assignments in Project 2013 Assignments, Budgets, and Costs Optimizing the Schedule The Critical Path Method and the Resource Critical Path Resource Leveling Optimizing Time, Cost, and Resources in Project 2013 Updating the Schedule The Baseline Updating Strategies and Situations Prepare the Status and Forecast Report in Project 2013 Reporting Using Reports Using Visual Reports Formatting and Printing in Project 2013 Customizing Fields in Project 2013 Earned Value Management (EVM) Overview of EVM Applying EVM with Project 2013 Evaluating the Project Evaluating the Project Performance Project Benefits and Results Templates for Future Projects Summary Tools and Checklist Best Practices Checklist Consolidated Schedules Creating Consolidated Schedules Using a Resource Pool Links across Projects Solving common problems Analyzing the Critical Path across Projects

Microsoft Project Orange Belt® 2013: In-House Training This workshop gives participants a full insight into creating effective schedules using Microsoft® Project 2013, allowing you to estimate, coordinate, budget, staff, and control projects and support other users. This workshop gives participants a full insight into creating effective schedules using Microsoft® Project 2013, allowing you to estimate, coordinate, budget, staff, and control projects and support other users. This workshop provides the eBook Dynamic Scheduling with Microsoft® Project 2013, and is kept up to date with the framework of knowledge outlined by the Project Management Institute's PMBOK® Guide and the Practice Standard for Scheduling. What you Will Learn You'll learn how to: Understand what's new in Project 2013 Explain where Project 2013 fits in the Microsoft® EPM solution Initialize Project 2013 to start project planning Create a well-formed project schedule Understand task types and the schedule formula Assign resources and costs to tasks Analyze resource utilization and optimize the schedule Set a baseline and track progress Create and manage project reports Customize views and fields Apply Earned Value Management Understand the basics of managing multiple projects Getting Started Introductions Course structure Course goals and objectives Enterprise Project Management Concepts and Framework Getting Started with Project 2013 Project 2013: What's New and General Overview Setting Up a New Project Schedule (templates, options, save, etc.) Setting the Project Calendar Entering Tasks The Planning Processes Importing Tasks (Word, Excel, SharePoint) Synchronizing with SharePoint Tasks List Creating and managing the WBS (include tasks, manually scheduled tasks, summary tasks and milestones, as well as custom WBS coding) Entering Estimates Tendencies in Estimating The Rolling Wave Approach Entering Duration and Work Estimates Types of Tasks Entering Dependencies The Principle of Dynamic Scheduling Choosing the Right Type of Dependency Entering Dependencies in Project 2013 Different Applications of Dependencies Entering Deadlines, Constraints, and Task Calendars Use of Deadlines and Constraints Entering Deadlines and Constraints in Project 2013 Entering Resources and Costs Types of Resources Entering Resources in Project 2013 Calendars and Resources Entering Costs in Project 2013 Entering Assignments Assignments in a Schedule Assignments and Task Types Entering Assignments in Project 2013 Assignments, Budgets, and Costs Optimizing the Schedule The Critical Path Method and the Resource Critical Path Resource Leveling Optimizing Time, Cost, and Resources in Project 2013 Updating the Schedule The Baseline Updating Strategies and Situations Prepare the Status and Forecast Report in Project 2013 Reporting Using Reports Using Visual Reports Formatting and Printing in Project 2013 Customizing Fields in Project 2013 Earned Value Management (EVM) Overview of EVM Applying EVM with Project 2013 Evaluating the Project Evaluating the Project Performance Project Benefits and Results Templates for Future Projects Summary Tools and Checklist Best Practices Checklist Consolidated Schedules Creating Consolidated Schedules Using a Resource Pool Links across Projects Solving common problems Analyzing the Critical Path across Projects

CWAP training course description This WiFi analysis course consists of hands-on learning using the latest enterprise wireless LAN analysis and troubleshooting tools. The course takes an in-depth look at the functionality of WLANs, intended operation of the 802.11 protocol and Wi-Fi Alliance specifications, WLAN frame formatting and structure, troubleshooting methodology, and protocol analysis. It also includes extensive training in modern spectrum analysis with a focus on advanced RF behaviour analysis, data collection methods, interpreting spectrum plots and charts, and understanding advanced features of WLAN spectrum analysers. What will you learn Analyse WiFi frames using Wireshark. Explain 802.11 protocol operation. Troubleshoot WiFi networks using Wireshark. Troubleshoot WiFi networks using spectrum analysers. CWAP training course details Who will benefit: Technical Network Staff Anyone looking to become a CWAP Prerequisites: Certified Wireless Network Administrator Duration 4 days CWAP training course contents Principles of WLAN Communication 802.11 Working Group, OSI reference model and the 802.11 PHY and MAC, Communication sublayers and data units, WLAN architecture components, Organization of station forwarding Addressing and internetworking operation, Modern WLAN product architectures. Physical (PHY) and MAC Layer Formats and Technologies Physical layer functions, Preamble function and format, Header purpose and structure, Analysis of PHY problems, Physical PPDU formats, 802.11b, 802.11a, 802.11g, 802.11n, MAC frame components, MAC encapsulation, Fields and subfields of the MAC header, Frame Control, Frame types and subtypes and their uses, Addressing, Frame body, Data frame format, Control frame format, Management frame format, Information elements and fields. Beaconing and synchronization Scanning, Client state machine, 802.11 contention, QoS, Admission control, Band steering and airtime fairness mechanisms Fragmentation, Acknowledgments and Block acknowledgments, Protection mechanisms and backward compatibility, Power management, Dynamic Frequency Selection (DFS) and Transmit Power Control (TPC), Security components, methods, and exchanges, Roaming procedures exchanges, Future protocol enhancements. 802.11n Transmit beamforming, Spatial multiplexing, Maximal Ratio Combining (MRC), Space-Time Block Coding, 40 MHz channels, Frame aggregation, HT-OFDM format, Modulation and Coding Schemes (MCS), HT frame formatting and more. Protocol Analysis Tools and Methodology Troubleshooting methodology, Protocol analyser types, Analysis NIC/adapter selection and constraints, Interpreting results based on location, Analyzer settings and features, Filtering and channel scanning, Interpreting decodes, Using advanced analysis features, Assessing WLAN health and behaviour factors, Evaluating network statistics, Troubleshooting common problems, Wired analysis to support wireless network issues. Spectrum Analysis Tools and Methodology Radio frequency behaviour review, Visualizing RF domains using spectrum measurement tools, Spectrum analyser types and operation, Analyser specifications and characteristics, Understanding spectrum data presentation, Interpreting plots and charts, Common WLAN spectrum analyser features, Identifying transmit patterns, Device classification and network impact, Recognizing transmit signatures. Hands on lab exercises Wireshark Setup, Use, and In-Depth Analysis Wireshark is fundamental to troubleshooting. Labs include: - Capabilities, configuration, and data display - Opening, collecting, saving, and modifying capture files. - Filtering traffic, and using colouring rules as analysis aides. - Live captures based on a set of desired collection criteria. - Identify and isolate network problems. - Conversation analysis. - Remote packet capture with an AP. Understanding Frame Components Familiarity with the frame structure and contents is essential in real -world troubleshooting efforts. Labs include: - Understanding the MAC header - Comparing the three major frame types and their subtypes - Analysing frame formats of individual frame types - Analysing 802.11n frame components - Additional information is reported by protocol analysers - Information not visible in protocol analysers Frame Exchanges Understanding frame exchange rules and behaviors is critical to identifying expected and unexpected. It is also necessary to understand what is normal so that aberrations can be properly troubleshot. Labs include: - Connectivity exchanges and sequences - Legacy and modern security exchanges - ERP and HT protection mechanisms - Power save behaviour - Acknowledgments, block acknowledgments, and supporting action frames - Dynamic rate switching - Band steering Troubleshooting Common Problems This lab exposes students to hands-on troubleshooting skills by setting up common problems in WLANs and allowing students to attempt to solve them. - Trouleshooting connectivity exchanges - Troubleshooting 802.1X and EAP exchanges - Troubleshooting roaming Spectrum Analyzer Setup, Use, and In-Depth Analysis Specifically, it will explore the plots and charts used to display spectrum data and how to interpret this data to define a transmitter's impact on the network. The following are covered: - Installing the analyser and using display and navigation - The 'RF perspective' provided by each plot and chart - Using built-in features and automated device identification - Characterizing the behaviours of an interference source - Assessing the impact of an interference source - Determining the impact of transmitter proximity on interference. - Identifying signatures of common transmitters - Remote spectrum analysis with an AP

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About this Training Course This interactive training course and workshop session is developed to provide a catalyst for transformation of the legacy systems and adapting to the upcoming trends in the near future in the LPG supply chain. The course curriculum is based on overcoming the challenges of cost and quality enhancement. Both challenges encompass critical review of each aspect from production to transportation with safety of operations and zero loss of energy, thereby enhancing revenue. Training Objectives This course is developed to meet the needs LPG producers, Gas Tankers and Terminals operators, and fraternity of stakeholders, with the following underlying objectives: Conduct assessment of current standards and management systems in context of market forces and economics of demand and supply; Explore impact of emerging markets and user segments of LPG transiting from oil or electricity use; Identify avenues in need of production process review for enhancing the quality in terms of energy content of LPG; Evaluate current and future trends in LPG transportation and the influence of regulatory regimes and incentive schemes, for investment in Storage Terminals and distribution networks; Identify the operations and protocols to be adaptable for compliance with new regulations and trends; Establish transportation and distribution cost control mechanism at optimum level; and Develop guidelines and SOPs for contamination free transfer, loading and discharging of LPG Tankers. Target Audience This is a 'must attend' course if you are a: LPG Gas Producer Process Specialist Buyer Trader LPG Tanker Owner Charterer, and Management personnel holding responsible positions such as Director, General Manager, Commercial Manager, Business Development Manager, Legal Counsel, Post-Fixtures Manager, Fleet Manager, Marine & Technical Superintendent, Senior Engineer or Middle Level Manager as part of succession planning. Training Methods The course will be delivered in 3 full-day sessions comprising 8 hours per day. Course Duration: 3 full-day sessions, 8 hours per session (24 hours in total). Trainer Principal Management Consultant FAIADR, FACICA, FHKIoD, M.S.I.D, Member, AIPN LL.M. (IP Laws), M. Sc. (Maritime Studies) M, Tech (Knowledge Engineering), MBA First Class CoC (DOT, UK), B. E. (Elect)   Your expert course leader, during the last 45 year period, has worked and consulted in the industry verticals encompassing: Marine, Shipping & Transport, Technology, Oil & Gas Exploration & Production, Petrochemical Process Plants and Power Plant Construction Projects, Logistics & Warehousing, Offshore, Oil & Gas Pipelines, Infrastructure Development Projects (Construction, Ports, Offshore Supply Bases, Oil & Gas Terminals and Airports etcetera), EPCIC Contracts, and Shipyards, in South East Asia, Africa, Middle East, Americas and Europe. He is a Principal Management Consultant in a consulting company in Hong Kong and Singapore, specializing in the fields of corporate management consultancy, international contracts reviews and alternative dispute resolutions services. He has been frequently engaged for assignments like due diligence, acquisitions, and mergers. The assignments often involved resolving various operational issues, contracts reviews, cost controls, project management matters and enhancement of international procurement and Supply Chain Management systems. He continues to be actively engaged in advisory services for Remuneration, Audit and Risk Management Committees of public companies as well as MNCs. He has developed a special initiative for conducting audits of ERM Systems (Enterprise Risk Management) and valuation of intangible properties involving proprietary processes (IP), licensed production and intellectual property rights. He graduated with a Bachelor's degree in Electrical Engineering, MBA in General Management, Master of Technology in Knowledge Engineering, Master of Science in Maritime Studies and LL.M. (IP Law). He also holds professional qualifications in arbitration, contracts laws, and marine engineering, including the Chief Engineer's First-Class Certificate of Competency (DOT, UK). He has been Associate, SIM University (SUSS) Singapore and taught on subjects including Business Continuity Planning and Risk Management. He has served as Director and member of Board of Management, Governance Councils and Risk Management Committees of international organizations. He is admitted to various professional institutions as: 'Fellow', Australian Centre for International Commercial Arbitration (FACICA); Asian Institute of ADR (FAIADR), Malaysia; Hong Kong Institute of Directors (FHKIoD), Member, Singapore Institute of Directors (M.S.I.D.), and Member, Association of International Petroleum Negotiators (AIPN) USA. POST TRAINING COACHING SUPPORT (OPTIONAL) 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. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

About this training course 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. 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. Unique Features: Hands-on usage of SNAP Software to solve gas-lift exercises Discussion on digital oil field Machine learning applications in gas-lift optimization Training Objectives After the completion of this training course, participants will be able to: Understand the fundamental theories and procedures related to Gas-Lift operations Easily recognize the different components of the gas-lift system and their basic structural and operational features Be able to design a gas-lift installation Comprehend how digital oilfield tools help address ESP challenges Examine recent advances in real-time approaches to the production monitoring and lift management Target Audience This training course is suitable and will greatly benefit the following specific groups: Production, reservoir, completion, drilling and facilities engineers, analysts, and operators Anyone interested in learning about implications of gas-lift systems for their fields and reservoirs Course Level Intermediate Advanced Training Methods 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. Course Duration: 5 days in total (35 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts. 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. Trainer 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. Highlighted Work Experience: 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. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. 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. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: 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. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. POST TRAINING COACHING SUPPORT (OPTIONAL) 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. Request for further information post training support and fees applicable Accreditions And Affliations

About this training course 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. Understanding of these important production concepts is a must have to exploit the existing assets profitably. Unique Features: Hands-on usage of SNAP Software to solve gas-lift exercises Discussion on digital oil field Machine learning applications in gas-lift optimization Training Objectives After the completion of this training course, participants will be able to: Understand the basics and advanced concepts of each form of artificial lift systems including application envelope, relative strengths, and weaknesses Easily recognize the different components from downhole to the surface and their basic structural and operational features Design and analyze different components using appropriate software tools Understand challenges facing artificial lift applications and the mitigation of these challenges during selection, design, and operation Learn about the role of digital oilfield tools and techniques and their applications in artificial lift and production optimization Learn about use cases of Machine learning and artificial intelligence in the artificial lift Target Audience This training course is suitable and will greatly benefit the following specific groups: Production, reservoir, completion, drilling and facilities engineers, analysts, and operators Anyone interested in learning about selection, design, analysis and optimum operation of artificial lift and related production systems will benefit from this course. Course Level Intermediate Advanced Training Methods 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. Course Duration: 5 days in total (35 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts. 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. Trainer 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. Highlighted Work Experience: 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. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. 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. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: 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. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. POST TRAINING COACHING SUPPORT (OPTIONAL) 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. Request for further information post training support and fees applicable Accreditions And Affliations

Mental Health Awareness Overview This half day CPD accredited course has been developed by Total Wellbeing Matters. This course raises awareness of mental health. It covers: What mental health is and how to challenge stigma Stress Spotting signs of distress An introduction to looking after your own mental health and maintaining wellbeing Confidence to support someone in distress or who may be experiencing a mental health issue

This course was developed for one of the largest investment institutions in the world, a multi-trillion household name. We explain in detail our tips and tricks to build an accurate and rolling enterprise value, and then review different valuation methodologies, from DCF, through the sum of the parts and football field analyses to LTV/CAC based methods. We conclude with a series of case studies examining the valuation of individual stocks.

About this training course Business Impact: 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. 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. Unique Features: Eight business use cases covering their business impact, code walkthroughs for most all and solution approach. Industry data sets for participants to practice on and take home. No software or complicated Python frameworks required. Training Objectives After the completion of this training course, participants will be able to: Understand digital oil field transformation and its impact on business Examine machine learning methods Review workflows and code implementations 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 Target Audience This training course is suitable and will greatly benefit the following specific groups: 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 Course Level Intermediate Advanced Training Methods 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. Course Duration: 2 days in total (14 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts Knowledge of Python is not a must but preferred to get the full benefit. The training will use the Google Collaboratory environment available in Google-Cloud for hands-on exercises Trainees will need to bring a computer with a Google Chrome browser and a Google email account (available for free) Trainer 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. Highlighted Work Experience: 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. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. 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. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: 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. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. POST TRAINING COACHING SUPPORT (OPTIONAL) 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. Request for further information post training support and fees applicable Accreditions And Affliations