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  3. Generalized Surface Multiple Prediction (GSMP) with Omega

Generalized Surface Multiple Prediction (GSMP) with Omega

Level: Skill | Type: Practical Training with Software | Discipline: Omega

This class provides a hands-on, workflow-based course on data-driven surface multiple prediction.

At the end of this class, students will have the skills to perform surface multiple prediction using the General Surface Multiple Prediction (GSMP) seismic function module (SFM). These skills include effective testing, quality control and optimum parameterization

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  • Input data requirements
  • Understanding the impact of the input data limitations on the quality of data driven multiple prediction
  • Designing an effective test plan for a given geology or survey challenges
  • Optimally parameterizing the GSMP module
  • Effective quality control of the model prediction results

Experienced geophysicists who wish to gain a more in-depth understanding of the GSMP technique

An understanding the theory of data-driven Surface Related Multiple Elimination (SRME) and familiarity with WesternGeco’s scheme of General Surface Multiple Prediction (GSMP), including “on-the-fly interpolation”.

Basic Omega and Petrel skills.

Currently there are no scheduled classes for this course.

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