Fundamentals of Geophysical Data Processing

Product Code: Geo Short Courses
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Price: $2,000.00
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   Instructor: Stephen J. Hill (Colorado School of Mines Adjunct Professor)

  Date & Time: April 30th - May 4th, 8am - 4:30pm

Course description: This “Fundamentals of Geophysical Data Processing” course is just that; it is an introductory course on fundamentals designed for individuals who work with seismic data. The course participants may be processing geophysicists, seismic interpreters or acquisition specialists. This course illustrates the ramifications of processing decisions on subsequent interpretations, showing data’s potential and the possible pitfalls for the unwary. The course is also of value for seismic acquisition specialists who desire to understand the constraints that seismic processing places on acquisition design.

This course presents material in a sequence that is the opposite of the sequence used in processing. In other words, the course presents the topics backwards, starting with migration and concluding with acquisition. Each processing step has its own input requirements; thus, understanding those input requirements provides the motivation for understanding the each preceding processing step.

Seismic processing is inherently mathematical. However, this course uses cartoons and real data examples to provide an intuitive understanding of the seismic processing procedures, resorting to an algebra-based argument on rare occasions. In total, the course contains more than one thousand illustrations, many representing the underlying mathematics.

The course participants receive the instructor’s eBook which contains the course content, including full narratives and illustrations.

Course outline

  1. Simple imaging using zero-offset data, with the use of the NMO equation and Dix interval velocities
  2. Concept of zero-offset migration
  3. Artifacts introduced by migrating incomplete data, including 2D data
  4. Role of velocity in migration
  5. Kirchhoff and reverse-time, zero-offset migration algorithms
  6. Fourier transform (amplitude and phase), convolution and correlation
  7. Normal moveout correction and stack to convert data to zero offset
  8. Noise
  9. Estimation of stacking velocities
  10. NMO and stack’s failures
  11. Kirchhoff before-stack migration
  12. Three imaging conditions and before-stack, wave-equation migration algorithms
  13. Multiple attenuation and role of wide-azimuth acquisition geometry in multiple attenuation
  14. Statics, land and marine
  15. Amplitude corrections
  16. 1-D and 2-D filtering, including f-k filtering
  17. Wavelets and deconvolution
  18. The Fresnel zone
  19. Improving spatial resolution
  20. Improving resolution of depth estimation
  21. Sample processing sequences
  22. Ramifications of processing decisions

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