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About this Training Course Geomechanical evaluations are about the assessment of deformations and failure in the subsurface due to oil & gas production, geothermal operations, CO2 storage and other operations. All geomechanical evaluations include four types of modelling assumptions, which will be systematically addressed in this training, namely: 1. Geometrical modelling assumption: Impact of structural styles on initial stress and stress redistribution due to operations 2. Formation (or constitutive) behaviour: Linear elastic and non-linear behaviour, associated models and their parameters, and methods how to constrain these using 3. Initial stress: Relation with structural setting and methods to quantify the in-situ stress condition 4. Loading conditions: Changes in pore pressure and temperature on wellbore and field scale This 5 full-day course starts with the determination of the stresses in the earth, the impact of different structural styles, salt bodies, faulting and folding on the orientation of the three main principal stress components. Different (field) data sources will be discussed to constrain their magnitude, while exercises will be made to gain hands-on experience. Subsequently, the concepts of stress and strain will be discussed, linear elasticity, total and effective stress and poro-elasticity in 1D, 2D and 3D, as well as thermal expansion. Participants will be able to construct and interpret a Mohr-circles. Also, different failure mechanisms and associated models (plastic, viscous) will be discussed. All these concepts apply on a material point level. Next, geomechanics on the wellbore scale is addressed, starting with the stress distribution around the wellbore (Kirsch equations). The impact of mudweight on shear and tensile failure (fracturing) will be calculated, and participants will be able to determine the mudweight window stable drilling operations, while considering well deviation and the use of oil-based and water-based muds (pore pressure penetration). Fracturing conditions and fracture propagation will be addressed. Field-scale geomechanics is addressed on the fourth day, focussing on building a 3D geomechanical model that is fit-for-purpose (focussing on the risks that need evaluation). Here, geological interpretation (layering), initial stress and formation property estimation (from petrophysical logs and lab experiments) as well as determining the loading conditions come together. The course is concluded with interpretation of the field-wide geomechanical response to reservoir depletion with special attention to reservoir compaction & subsidence, well failure and fault reactivation & induced seismicity. Special attention is paid to uncertainties and formulating advice that impacts decision-making during development and production stages of a project. This course can also be offered through Virtual Instructor Led Training (VILT) format. Training Objectives Upon completing of this course, the participants will be able to: Identify potential project risks that may need a geomechanical evaluation Construct a pressure-depth plot based on available field data (density logs, (X)LOT, FIT, RFT) Employ log-based correlation function to estimate mechanical properties Produce a simplified, but appropriate geometrical (layered, upscaled) model that honours contrasts in initial stress, formation properties and loading conditions, including Construct and interpret a Mohr-circle for shear and tensile failure Calculate the mud weight that leads to shear and tensile failure (fracturing conditions) Identify potential lab experiments to measure required formation properties Describe the workflow and data to develop a field-wide fit-for-purpose geomechanical model Discuss the qualitative impact of pressure and temperature change on the risk related to compaction, well failure, top-seal integrity and fault reactivation Target Audience This course is intended for Drilling Engineers, Well Engineers, Production Technologists, Completion Engineers, Well Superintendents, Directional Drillers, Wellsite Supervisors and others, who wish to further their understanding of rock mechanics and its application to drilling and completion. There is no specific formal pre-requisite for this course. However, the participants are requested to have been exposed to drilling, completions and production operations in their positions and to have a recommended minimum of 3 years of field experience. Course Level Intermediate Trainer Your expert course leader has over 30 years of experience in the Oil & Gas industry, covering all geomechanical issues in the petroleum industry for Shell. Some of his projects included doing research and providing operational advice in wellbore stability, sand failure prediction, and oil-shale retortion among others. He guided multi-disciplinary teams in compaction & subsidence, top-seal integrity, fault reactivation, induced-seismicity and containment. He was also involved in projects related to Carbon Capture Storage (CCS). He is the founding father of various innovations and assessment tools, and developed new insights into the root causes seismicity induced by Oil & Gas production. Furthermore, he was the regional coordinator for technology deployment in Africa, and Smart Fields (DOFF, iField) design advisor for Shell globally. He was responsible for the Geomechanical competence framework, and associated virtual and classroom training programme in Shell for the last 10 years. He served as one of the Subject Matter Expert (SME) on geomechanics, provided Technical Assurance to many risk assessments, and is a co-author of Shell's global minimun standard on top-seal integry and containment. He has a MSc and PhD in Civil Engineering and computational mechanics from Delft University of Technology, The Netherlands. Training experience: Developed and delivered the following (between 2010 and 2020): The competence framework for the global geomechanical discipline in Shell Online Geomechanical training programs for petroleum engineers (post-doc level) The global minimum standard for top-seal integrity assessment in Shell Over 50 learning nuggets with Subject Matter Experts Various Shell virtual Geomechanical training courses covering all subjects Developed Advanced Geomechanical training program for experienced staff in Shell Coaching of KPC staff on Geomechanics and containment issues on an internship at Shell in The Netherlands, Q4 2014 Lectured at the Utrecht University summer school (The Netherlands, 2020) on induced seismicity among renowned earthquake experts (Prof. Mark Zoback, Prof. Jean-Philippe Avouac, Prof. Jean-Pierre Ampuero and Prof. Torsten Dahm) (https://www.nwo.nl/onderzoeksprogrammas/deepnl/bijeenkomsten/6-10-juli-2020-deepnl-webinar-series-induced-seismicity) Lectured at the Danish Technical University summer school (Copenhagen, 2021) summer school on Carbon Capture and Storage (https://www.oilgas.dtu.dk/english/Events/DHRTC-Summer-School) Virtual Carbon Capture and Storage (CCS): Project Risks & How to Manage Them training course (October and November 2021) 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 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

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The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).