Education

CSEG DoodleTrain

Processing, Inversion and Reconstruction of Seismic Data (CANCELLED)

Instructor: Mauricio Sacchi
Date: November 3 - 4, 2010
Duration: 2 days
Members (early bird/price): $700/$900 CDN (plus GST)
Non-Members (early bird/price): $800/$1000 CDN (plus GST)

Venue: TBA
Time: 8:00am - 5:00pm

Audience:
Course is intended for geophysicists working in data processing, R&D, and for people with interest in understanding current and emerging technologies for seismic data processing. Please contact the instructor for more information msacchi@ualberta.ca.

Course Outline:

1. Review of DSP & Deconvolution

  • Fourier Transform, properties, symmetries, FT of simple signals
  • Discrete signals, Aliasing, DFT, IDFT
  • Linear Systems, invariance, convolution, z-transform
  • Dipoles, Min and Max phase signals, Inversion of dipoles
  • Spectral response of simple signals and Spectral decomposition

2. Design of Inverse Filters

  • Design of Least squares inverse filters, Wavelet inversion and Wavelet Shaping
  • Pre-whitening and Optimum Lag, resolution/noise amplification trade-off
  • White reflectivity assumption, wavelet estimation,
  • Blind Deconvolution, Minimum Entropy, Maximum Kurtosis
  • Surface Consistent Deconvolution

3. Reflectivity and Impedance inversion

  • Post-stack inversion
  • Retrieval of full band-reflectivity sequences
    • Impedance constraints
    • Introducing smoothing and sparseness into the solution
  • Pres-stack inversion
    • AVO as multi-channel deconvolution problem
    • More advanced Pre-stack inversion: Least-squares migration

4.SNR Enhancement

  • FX methods
  • Canales FX filters and Projection filters
  • Radon Based Methods:
  • Parabolic, Hyperbolic, Apex-shiftet transforms
  • Time-variant and time-invariant operators
  • LS Fast solvers and High Resolution solvers
  • Eigen-image based methods

5. Data Reconstruction

  • Local versus Global methods for data reconstruction
  • Minimum Weighted Norm Fourier Reconstruction
  • Band-limited multi-dimensional Fourier Reconstruction
  • Sparseness constraints for Fourier reconstruction

Background required:
Basic knowledge of Linear Algebra and DSP

 

Presenter / Instructor Biography:

Mauricio D. Sacchi was born and raised in Coronel Brandsen (Buenos Aires), Argentina. He received a Diploma in Geophysics from The National University of La Plata, Argentina, in 1988 and a PhD in Geophysics from UBC, Canada, in 1996. He joined the Department of Physics at the University of Alberta in 1997. His research interests are in the area of signal analysis and imaging methods. He directs the Signal Analysis and Imaging Group, an Industry sponsored initiative for advanced research in signal processing and imaging. He has developed and taught short courses for the industry and for the CSEG and EAGE societies in the area of seismic signal theory, transform methods for signal enhancement and seismic inversion. With Tad Ulrych he wrote the book "Information-based processing and inversion with applications" published by Elsevier. Mauricio is a member of the CGU, CSEG, EAGE, IEEE and SEG societies.

 

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