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Seismic Data Processing

Course Objectives

The course will apply the principles of project management in managing innovations and planning, preparing, and monitoring the design and development of teaching-learning materials.


  1. Mathematical Basis for Fourier transform
  2. Sampling considerations of seismic time series
  3. Main processing sequence
  4. Velocity analysis
  5. Deconvolution, convolution, filtering and migration in space and time (prestack).
  6. Acquisition of seismic data (land and sea).
  7. 3-D seismic data processing
  8. Radon transform, tau-p processing, Hilbert transform and AVO
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