
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 course will develop knowledge and understanding of the role played by uncertainty in geomodeling and provide a framework for optimum decision making using Petrel. It covers the statistical and geostatistical tools available for understanding and quantifying uncertainty and the considerations required when using them for reservoir characterization and model building.
Petrel will be used as the primary tool for investigating the complexities of uncertainty in geomodeling. This allows us to understand how best to use the cutting-edge geostatistical features of Petrel to construct geomodels which accurately reflect our level of confidence in data at each stage of the exploration and production.
Geologists, petroleum engineers and geophysicists having input to the building of models in Petrel®.
Modeling and quantifying uncertainty
Geostatistics basics
Tools - Variance, regression, histograms
Geomodeling
Multivariate analysis
Using wireline logs and seismic attributes
Monte Carlo modeling and production statistics
Competence with Petrel - participant should preferably have taken at a minimum Petrel Fundamentals training course; Basic understanding of statistics.
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