The digital learning ecosystem An efficient management approach to capability development, delivering smarter teams, improved productivity and better business outcome for the managers.
Bridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.
The digital learning ecosystem Digitally and seamlessly connecting you, the learner, with pertinent learning objects and related technologies ensuring systematic, engaging and continued learning.
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Training provider of the year: 2013, 14 and 15
Upstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableUpstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableBridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.
The digital learning ecosystem Digitally and seamlessly connecting you, the learner, with pertinent learning objects and related technologies ensuring systematic, engaging and continued learning.
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Upstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableUpstream learning simulator With more than 50,000 participants instructed in various disciplines, data driven OilSim runs real-world oil and gas business scenarios and technical challenges.
Engaging. Educational. EnjoyableBridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.
Develop measurable skills and capabilities
This two-day course will provide a brief overview of systematic procedures for forecasting production and estimating reserves for individual wells in low-permeability oil and gas reservoirs, including shale plays. The workshop will provide background material leading to the understanding of forecasting methods. It will also concentrate on traditional (Arps) decline models and the more recent models designed to provide more accurate forecasts during the long-duration transient periods (usually linear flow) associated with low-permeability, hydraulically fractured wells. Applications of theory will be illustrated with in-class exercises.
Fundamentals of Decline Models
This day will focus on understanding basic reserves reporting requirements and on fluid flow fundamentals that are explicitly or implicitly used in production decline models. Participants will be able to distinguish between transient and boundary-dominated flow, choose appropriate variable rate analysis techniques, and calculate time required to reach fracture interference and well interference by the end of this day. In addition, participants will learn how to identify flow regimes occurring during production history and will be provided a basis for selecting appropriate models for each different flow regime. Participants will also learn the importance of correcting rate data for changes in bottom-hole pressure when needed.
Day 2Production Decline Analysis
In this session the focus will be on proper application of Arps (including modification with minimum terminal decline rate), Fetkovich type curves, and useful alternative decline models, including Stretched Exponential, Power Law, Extended Duration Linear Flow, and Duong. These applications will include participants learning how to select data for appropriate models, when and how to switch models, and how to ensure that forecasts are compliant with reserves reporting regulations.
Petroleum engineers, geologists, reserves analysts, and others whose job responsibilities or professional interests include reserves estimation.
A knowledge of engineering and science principles, as well as a basic understanding of geology and reservoir engineering.
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