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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.
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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. EnjoyableBridging 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. EnjoyableBridging industry with academia An immersive and collaborative learning experience event, using OilSim simulator, providing highly relevant industry knowledge and soft skills.
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.
Building an Initial Model
At the end of this session the student will be able to build an initial depth imaging model from provided inputs using the SVM model building software. They will be able to QC the initial model with SVM and execute a migration sequence using initial model.
Day 2Isotropic Tomographic Updating (Part 1)
At the end of this session the student will be able to execute an isometric tomography sequence. They will be able to explain the key components of the tomography software and the tomographic sequence.
Day 3Isotropic Tomographic Updating (Part 2)
At the end of this session the student will be able to QC an isometric tomography sequence. They will be able to QC and perform an isotropic tomographic update of an initial model and migrate the updated model and QC the results.
Day 4Understanding Anisotropy (Part 1)
At the end of this session the student will be able to explain the concept of anisotropy and the impact of anisotropy on the depth imaging process.
Day 5Understanding Anisotropy (Part 2)
At the end of this session the student will be able to build and QC an anisotropic TTI depth imaging model. They will be able to explain the basic methods used to derive anisotropic property fields and use the Seiscal tool. They will be able to build and QC an initial anisotropic TTI model, migrate it and QC the results.
Day 6Conventional Smoothing Filters versus Steering Filters in Anisotropic Tomography Round 1 (Part 1)
At the end of this session the student will be able to explain the role of smoothing filters both conventional and steering in tomography and how to QC them. They will be able to execute the anisotropic tomography sequence, CIP pick, RMO QC, dip estimation and QC, and derive the tomography equations.
Day 7Anisotropic Tomography Round 1 (Part 2)
At the end of this session the student will be able to complete the first round of anisotropic tomographic update and QC. They will be able to update the initial TTI anisotropic model, QC results and migrate the data.
Day 8Anisotropic Tomography Round 2 (Part 1)
At the end of this session the student will be able to carry out the second round of the anisotropic tomography sequence, CIP pick, RMO QC, dip estimation and QC and derivation of tomography equations. They will be able to explain the merits of the different migration algorithms.
Day 9Anisotropic Tomography Round 2 (Part 2), Well Section Window and Seiscal
At the end of the session the student will be able to complete the second round anisotropic tomographic update, QC it and migrate the data. They will be able to explain the basics of multi azimuth tomography.
Day 10Review and Presentation of Final Results
In this closing session we will review and present the final results. Students present their own results and learn the appropriate process for presenting final results for a depth imaging project.
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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