
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. Enjoyable
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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                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. This class will be delivered in 4 hours sessions over 10 days. 
This interactive and practical course will help participants to use geological modeling to produce realistic volumetric estimations for hydrocarbon reservoirs. It will show how new operational data and revised interpretations, such as a new well or a recently discovered fault, can be identified and incorporated into models at any point in the workflow.
This course will introduce the procedures and workflow for building a 3D model, regardless of the software available to the modeling team. In other words, this will be an attempt at a best practice approach to a complex and varied workflow. There will be a particular emphasis on integrating static and dynamic reservoir properties with the geological facies model. Exercises will be done using industry standard modelling software (Petrel), although it should be emphasized that the purpose of the course is methodology and not software operation.
Relevant industry case studies and practical applications will be reviewed throughout the course. Participants will gain an understanding of the key challenges associated with building effective 3D reservoir models from interpretation and design to quality assurance of results.
Participants will understand the science and workflows behind building consistent 3D reservoir models including fluid distribution, permeability, compartments and volumetric estimation. They will learn how integrate data from cores and logs and how to upscale this data into geological and flow simulation models that will have a high impact on field development and production scenarios.
This course is designed primarily for geologists, geophysicists and reservoir engineers involved in subsurface reservoir characterization and who wish to know how to derive geologically robust framework models and how to populate them with meaningful reservoir properties. Attendees should include Geologists, Geophysicists, Petrophysicists, Reservoir Engineers, Drilling Engineers, and Seismic Interpreters.
Students are expected to have a clear understanding of how to use the Petrel software. It is suggested that a Petrel Fundamentals course has been taken, although this is not mandatory.
Some understanding of the principles of Geology and Log Analysis.
Currently there are no scheduled classes for this course.
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