91视频

 

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Prerequisites (Knowledge/Experience/Education Required)

 

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Day 1

Day 2

Day 3

Day 4

Day 5

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Course Outline

1. Introduction: 
2. Complex trace, horizon, and formation attributes:
3. Spectral decomposition and thin-bed tuning: 
4. Geometric attributes that map reflector configuration: 
5. Geometric attributes that map continuity and textures: 
6. Multispectral, multioffset, and multiazimuth coherence: 
7. Attribute expression of tectonic deformation: 
8. Attribute expression of clastic depositional environments: 
9. Attribute expression of carbonate deposition environments: 
10. Attribute expression of shallow stratigraphy and drilling hazards: 
11. Attribute expression of igneous instrusion, extrusions, and basement: 
12. Seismic chronostratigraphy: 
13. Impact of acquisition and processing on seismic attributes: 
14. Direct and indirect estimates of fractures and horizontal stress: 
15. Poststack seismic data conditioning: .
16. Prestack seismic data conditioning: 
17. Image enhancement and object detection: 
18. Visual decision making and interactive multiattribute analysis: 
19. Unsupervised multiattribute classification: 
20. Supervised multiattribute classification: 
21. The requirements of future E&P data integration - Shallow learning but deep thinking? Or Deep learning and shallow thinking: 

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Course Outline