Joint recovery method for time-lapse seismic data
This application is available only in the software release for members of SINBAD consortium.
This package is an application for time-lapse data acquired with randomized sampling schemes, and a joint recovery method based on sparse inversion (via L1 minimization). In particular, we show the performance of the method for: (i) data with random missing shots, and (ii) data simulated for a time-jittered, blended marine acquisition.
Authors: Felix Oghenekohwo (foghenekohwo@eos.ubc.ca), Haneet Wason (hwason@eos.ubc.ca)
Date: June, 2014
Contents
Downloading & Dependencies
The code can be found in the SLIM sofware release under /applications/Acquisition/TimeLapseJRM.
The code has been tested with Matlab R2013a.
This code uses the following packages, also found in the tools part of the SLIM software release.
- utilities/SPOT - object oriented framework for matrix-free linear algebra.
- utilities/SegyMAT - Matlab/Octave toolbox for reading and writing SEG-Y formatted files.
- functions/misc - miscellaneous functions.
- solvers/SPGL1-SLIM - SLIM version of SPGL1 solver.
- transforms/CurveLab-2.1.2-SLIM - curvelet transform functions.
Running & Parallelism
All the examples and results are produced by the scripts found in this software release under applications/Acquisition/TimeLapseJRM/. Start matlab from that directory or run startup in that directory to add the appropriate paths.
To run the scripts follow the instructions in the README file enclosed with the code. The scripts can be run in serial mode.
Read more about SLIM's approach to parallel computing in Matlab.
Examples and results
An example of recovery from data with missing shots is shown here.
An example of recovery from time-jittered, blended data is shown here.
References
[1] Felix Oghenekohwo, Ernie Esser, and Felix J. Herrmann [2014]. Time-lapse seismic without repetition: reaping the benefits from randomized sampling and joint recovery. Presented at the 76th EAGE Conference and Exhibition.
[2] Haneet Wason, Felix Oghenekohwo, and Felix J. Herrmann [2014]. Randomization and repeatability in time-lapse marine acquisition. Presented at the EAGE Workshop on Land and Ocean Bottom; Broadband Full Azimuth Seismic Surveys, Spain.
[3] Haneet Wason, Felix Oghenekohwo, and Felix J. Herrmann [2014]. Randomization and repeatability in time-lapse marine acquisition. To be presented at the SEG Conference.
Acknowledgements
Thanks to our sponsors and NSERC for their financial support.