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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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This course is designed for geoscientists with an understanding of basic seismic processing theory including depth imaging, model building and ray theory who have some practical experience of building models for depth imaging and who wish to learn the more advanced aspects of tomographic model updating and how to use well data and incorporate anisotropy into a depth model.
There are four main topics: Tomographic inversion, loading and using well data in model building, Q tomography and Anisotropy.
The attendee will learn how to prepare input data for tomography and run and QC the results using Omega and Petrel, how to load basic well data and use it in model building, Q-tomography and how to update an inverse Q model and understand anisotropy including VTI, TTI, HTI and orthorhombic and how to derive and update anisotropy in depth imaging model building. Each topic is introduced with some background material which includes discussion of theory and applications. This is followed by an explanation of the workflow, data requirements and a step by step discussion of the procedures to execute the workflows. Where possible there are practical exercises to provide hands on experience in executing the workflows.
Geoscientists involved in data processing with knowledge of seismic processing techniques and some practical experience of building models for depth imaging wishing to learn the more advanced aspects of tomographic model updating and how to use well data and incorporate anisotropy into a depth model.
There are four main topics: Tomographic inversion, loading and using well data in model building, Q tomography and Anisotropy.
This training assumes that attendees have experience working with Omega and Petrel SVM and also:
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