
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
At the end of this class students will be have the skills needed to be a contributing member of a depth imaging production processing team. These skills will cover the most common workflows involved in processing a marine 3D dataset through a depth imaging sequence.
The class is suitable either for less experienced geophysicists wanting to learn the basics of depth imaging, or for experienced depth imagers wishing to secure the functional capabilities necessary to perform depth imaging.
Competency in Omega is mandatory. Petrel experience is advantageous. An understanding of the concepts underlying time seismic data processing and common depth processing challenges is required. This class needs to be taken in conjunction with the Seismic Velocity Modeling class in order to understand how to derive viable models suitable for depth processing in Omega and Petrel.
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