Develop measurable skills and capabilities
The Petrel Property Modeling course is intended for the user with fundamental Petrel modeling skills. The course covers basic geostatistics, data preparation, data analysis, facies and petrophysical modeling. You will learn different ways to create property models and how to condition models to existing models and secondary data. This course guides the user through concepts, algorithms and software functionalities in property modeling.
The first part of the course focuses on the usage of basic geostatistical tools, through data analysis. Also pre-modeling processes concerning well data preparation will be covered. Also here we will look into the first step of the property modeling workflow: upscale well logs to create single property values at well location for each cell. This will create hard data that will be used to populate the 3D grid with either deterministic or stochastic algortihms.
The second half of the course focuses on facies and petrophysical modeling workflows using stochastic methods as well as covering the usage of Kriging for continuous properties. Implementing Data analysis results and using secondary data to constrain the result will also be shown.
Customize your own learning journey and track your progress when you start using a defined learning path.
In just few simple steps, you can customize your own learning journey in the discipline of your interest, based on your immediate, intermediate and transitional goals. Once done, you can save it in NExTpert-the digital learning ecosystem-and track your progress.
Explore arrow_forwardDevelopment and exploration geologists, geophysicists, geochemists, petrophysicists, petroleum engineers, managers, reservoir engineers and technical personnel with prior experience in Petrel.
General knowledge of petroleum geology. Petrel Fundamentals course or equivalent experience
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