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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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 is a Remote Instructor Led Series (RILS) training. The remote classroom delivery is a modality that takes advantage of the instructor led training content, while allowing the same content to be delivered remotely. All training sessions will be delivered online with no face-to-face classroom attendance.
Subsurface uncertainties assessment is an essential phase in any field development strategy. These course learning contents are designed to provide the reservoir engineers with the concepts and necessary application skills for uncertainty assessment quantification and optimizations using Petrel workflows tools. There are several ways to analyze and quantify uncertainties in Petrel, whether those uncertainties are associated with a single modeling process, such as a hydrocarbon contact
depth in a 3D static model, or a combination of several interdependent processes ranging from seismic to simulation and economic forecasting.
This course discusses how to use Petrel Uncertainty and optimization tool to perform sensitivity analysis, uncertainty assessment, and optimization (history matching). It also covers the Proxy modeling concepts, benefits, limitations and its applications using the available workflow tools in Petrel.
The course exercises are blended to incorporate learning of the software skills and its application using practical reservoir engineering technical challenges scenarios in the context of reservoir studies. The theory behind each software technology features are explained and practical exercises provided in each module to allow you to practice using these features described in the module.
The course will be delivered in five (5) sessions lasting ~ four (4) hours each. An intensive agenda also implies homework after each session. Hence full-time commitment is expected from participants.
Each student will need the following to attend:
*Hands-on exercises will be performed using locally installed Petrel and Eclipse software; hence client machine must satisfy min. requirements. Alternatively, practical sessions can be accessed through DELFI Cloud Environment (subject to availability).
Subsurface uncertainty quantification & Sensitivity study
Tutorial/Exercises: Sensitivity study – Greenfield application
Day 2Uncertainty analysis
Tutorial/Exercises: Uncertainty analysis – Greenfield application
Day 3Workflow creation and modification
Tutorial/Exercises: Set up the History match workflow
Day 4History matching workflow
Tutorial/Exercises: History matching exercises
Day 5Proxy modeling
Tutorial/Exercises: Proxy modeling exercises
Development and exploration petroleum engineers, reservoir engineers, geoscientists, and any asset team members who want to get acquainted to Petrel Uncertainty & Optimization workflows.
This course builds on the Petrel Reservoir Engineering course. So the knowlegde of Petrel Reservoir Engineering workflow tools or equivalent Petrel experience is required.
Customize your own learning journey and track your progress when you start using a defined learning path.