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About this Virtual Instructor Led Training (VILT)  The Advanced Reservoir Engineering VILT course will address modern practical aspects of reservoir engineering during 5 half-days packed with lectures, virtual exercises, discussions and literature reviews. The participants' understanding of fundamental concepts and modern practical reservoir engineering methods will be deepened and a wide range of topics will be addressed. Topics covered The VILT course will emphasise reservoir engineering applications and include topics such as: Rock properties of clastic and carbonate reservoirs Reservoir characterisation Reservoir fluid behaviour Identification of main production mechanisms Design and analysis of well tests Production forecasting Application of Decline Curve Analysis in mature fields Detailed modeling of wells and reservoirs Water flooding Application of EOR methods Reserves and resource estimation Reservoir simulation approaches, model construction and well, aquifer and fluid modelling Development planning Uncertainty handling and scenario methods Depending on the background and requirements of the participants, some topics may be given more emphasis.   Training Objectives In this VILT course, reservoir engineering methods will be addressed which are of use in the daily reservoir engineering practice. The focus will be on practical applicability. Use is made of practical and actual reservoir engineering problems and examples to illustrate relevant subjects. By attending this VILT course, participants will have a deeper knowledge of modern reservoir engineering practices for reservoir development and production, including the construction and use of reservoir models. Target Audience The VILT course is intended for experienced reservoir engineers with prior technical or engineering exposure to production activities. Petroleum engineers and geoscientists who require more than general knowledge of reservoir engineering will also find this course useful. Participants are invited but not obliged to bring a short presentation (max of 15 minutes) on a practical problem they encountered in their work. This will then be explained and discussed in the VILT class. A short test or quiz will be held at the end the VILT course. Training Methods This VILT course will be delivered online over 5 half-days. There will be 2 blocks of two hours per day, including lectures, discussion, quizzes and short classroom exercises. Additionally, some self-study will be required. Two breaks of 10 minutes will be provided each day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your course leader is an independent Reservoir Engineering Consultant. He provides project consultancy, quality assurance and reservoir engineering training for major oil companies, governments, engineering firms and other global customers. Before he retired from Shell in 2012, he held positions as Senior Reserves Consultant for the Middle East and Reservoir Engineering Discipline Lead. He is a petroleum engineering professional, with global experience, mostly in Shell companies and joint ventures (NAM, SSB, SCL, PDO, SKDBV). He has been involved in reserves and resource management, has extensive reservoir modelling and reservoir simulation expertise, and wide experience in the design and delivery of training programmes for employee development. PROFESSIONAL EXPERIENCE 2012 - 2016 Independent Reservoir Engineering Consultant Project consultancy, quality assurance and reservoir engineering training for major oil companies, governments, engineering firms and other global customers. Delivering specialised and general Reservoir Engineering courses to a multitude of international companies. 2008 - 2012 Shell International E&P, the Hague, the Netherlands Senior Reserves Consultant for the Middle East Region Assurance of SEC and SPE compliance of reserves and resources in Shell Middle East region. Contributor to the 2012 SPE guidelines on reserves and resources assessment. 2006 - 2008 Shell E&P Technology Solutions, Rijswijk, the Netherlands Reservoir Engineering Discipline Lead Responsible for QA/QC of Reservoir Engineering in global E&P projects as well as for staff development. (over 60 international Reservoir Engineers) 2001 - 2005 Centre for Carbonate Studies, SQU, Oman / Shell International E&P Technology Applications and Research /Shell Representative Office Oman Petroleum Engineering Manager PE manager in the Carbonate Research centre, at Sultan Qaboos University in Oman. Industrial research projects and support to teaching on recovery aspects of carbonate reservoir development. Design and delivery of industrial courses on carbonate reservoirs 1997- 2000 Shell International E&P, Rijswijk, the Netherlands Principal Reservoir engineer. Acting Shell Group Reserves Co-ordinator in 1997-1998. Facilitation of workshops with government shareholders, including discussions on sensitive reserves issues (BSP Petroleum Unit Brunei, PDO Oman, SPDC government Nigeria). Co-ordination of the NOV subsurface team in Shell Kazakhstan Development BV in 2000. Leading role in Shell Gamechanger project on natural gas hydrates. 1992- 1996 Shell Training Centre, Noordwijkerhout, the Netherlands Reservoir Engineering Programme Training Director Directed Shell Group Reservoir Engineering Training. Introduced advanced PE training events, QA/QC and learning transfer measures, Design and delivery of reservoir engineering and multidiscipline courses to Shell staff from a wide range of nationalities. 1985- 1992 Shell International, SIPM, the Hague, The Netherlands Senior Reservoir Engineer Full field reservoir simulation projects supporting Field Development Plans, operational strategies and unitisation negotiations for Shell Group Operating Companies in the United Kingdom, New Zealand and Egypt. Major contributor to the Shell internal Gas Field Planning Tool development. 1984- 1985 Geological Survey of the Netherlands (RGD), Ministry of Economic Affairs Reservoir Engineering Section Head Responsible for Petroleum Engineering advice on oil and gas licences to the Ministry of Economic Affairs. First-hand experience with a government view on resource management. 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

3ds max and Photoshop face to face training customised and bespoke.

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

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This one day course will teach students how to extend their knowledge of eyelash extensions by adding the 2D and 3D technique to their previous qualification.The Russian Volume technique is the most popular method used today!

This one day course will teach students how to extend the natural lash whilst adding volume, using synthetic lashes. Students will learn the technique for applying individual eyelashes and how to use products and tools used during the service.

PgMP® Exam Prep This course is designed and developed by PgMP® certified consultants and instructors. Its aim is to prepare professionals who are familiar with the principles of program management for the Program Management Professional (PgMP)® Examination. The course is based on PMI's The Standard for Program Management, A Guide to the Project Management Body of Knowledge (PMBOK® Guide), and PMI's Program Management Professional (PgMP)® Examination Content Outline (current versions). Through this learning experience, you will explore: Program management from a PMI standard perspective, including the interdependencies between the five performance domains, the three program phases, and the ten supporting activities in this new and improved program management standard The difference between the five performance domains in the new program management standard and the five practice domains in the examination content outline The role and competencies of the program manager The difference between project managers and program managers - and their relationship in a program environment The difference between program managers and portfolio managers - and their relationship in a program environment How program managers align and manage benefits The best ways to engage and involve program stakeholder groups How to establish governance across the program life cycle What You Will Learn At the end of this course, you will be able to: Differentiate between the practice domains in the PMI PgMP® Examination Content Outline and the performance domains in The Standard for Program Management - Fourth Edition Name and describe the three phases in the program management life-cycle phases Describe the mapping of the life-cycle phases with the supporting program activities Identify the key outputs of the supporting program activities Articulate the interrelationships between the program management supporting processes and the mapping of processes to Knowledge Areas and Process Groups in the PMBOK® Guide - Sixth Edition Apply program management knowledge to answer foundation and scenario-based questions Summarize the process and eligibility criteria for earning the PgMP® credential Getting Started Introductions Course structure Course goals and objectives Foundation Concepts Programs, projects, and portfolio definitions differences, and how they relate The definition of a component and how it relates to a program Representative program management life cycle Role of the program manager and the program office The difference between the program management practice and performance domains Program Register and Knowledge Asset Management Program registers, and how they are used to manage knowledge assets Knowledge asset management, beginning with the data, information, knowledge, and wisdom (DIKW) Model Knowledge assets and relationship to the performance domains The program manager as a knowledge asset manager Types of Programs Perspectives on programs to establish the 'right' perspective Categories of programs based on the program standard Scenario-based questions Program and Organization Strategy Alignment An overview of the Program Strategy Alignment performance domain Exploration of the elements of strategic alignment, i.e., the business case, program charter, and program roadmap Exploration of organization maturity and strategic alignment Scenario-based questions that reference both the Program Strategy Alignment performance domain and the Strategic Program Management practice domain Program Benefits An overview of the Program Benefits Management performance domain Exploration of each benefits management interaction with the representative program management life cycle: Benefits IdentificationBenefits Analysis and PlanningBenefits DeliveryBenefits TransitionBenefits SustainmentScenario-based questions that reference both the Program BenefitsManagement performance domain and the Benefits Management practice domain Program Stakeholder Engagement An overview of the Program Stakeholder Engagement performance domain Exploration of each stakeholder engagement performance domain activity: Program Stakeholder IdentificationProgram Stakeholder AnalysisProgram Stakeholder Engagement PlanningProgram Stakeholder EngagementProgram Stakeholder CommunicationsScenario-based questions that reference both the Program StakeholderEngagement performance domain and the Stakeholder Management practice domain Program Governance An overview of the Program Governance performance domain Exploration of each program governance performance domain activity: Program governance practicesProgram governance roles and responsibilitiesProgram governance design and implementationGovernance relationship within programsScenario-based questions that reference both the Program Governance performance domain and the Governance practice domain Program Life Cycle Management An overview of the Program Life Cycle Management performance domain Exploration of the three phases in the representative program life cycle: Program DefinitionProgram DeliveryProgram ClosureExploration of the interaction between program activities and integration managementScenario-based questions that reference both the Program Life CycleManagement performance domain and the Program Life Cycle practice domain Program Management Supporting Activities - Part 1 An overview of the program management supporting activities Exploration of 5 of 10 supporting activities: Program change managementProgram communications managementProgram financial managementProgram information managementProgram procurement managementScenario-based question(s) presented after each supporting activity Program Management Supporting Activities - Part 2 Exploration of the remaining 6 of 10 supporting activities: Program quality managementProgram resource managementProgram risk managementProgram schedule managementProgram scope managementScenario-based question(s) presented after each supporting activity Program Management Professional (PgMP®) Examination Application process and timeline General and special eligibility criteria International Institute's Online Learning Tool - access to sample examination questions Program Management Professional (PgMP®) Examination breakdown of domains and subdomains Terms and conditions of the exam PgMP® Professional Code of Conduct

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