2D ocean-bottom marine acquisition via jittered sampling
This application is available only in the software release for members of SINBAD consortium.
This software release includes a demonstration of the 2D time-jittered (or blended) marine acquisition scheme, and a deblending framework based on sparse inversion via L1 minimization.
Author: Haneet Wason (firstname.lastname@example.org)
Date: April, 2013
The code can be found in the SLIM sofware release under /applications/Acquisition/2DTimeJitteredOBS.
The code has been tested with Matlab R2012b and requires the Parallel Computing Toolbox.
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/pSPOT - parallel extension of SPOT.
- utilities/SegyMAT - Matlab/Octave toolbox for reading and writing SEG-Y formatted files.
- transforms/CurveLab-2.1.2-SLIM - CurveLab with SLIMs FFT Functions + other.
- solvers/SPGL1-SLIM - SLIM version of SPGl1
All the examples and results are produced by the scripts found in this software release under applications/Acquisition/2DTimeJitteredOBS/examples/. Start matlab from applications/Acquisition/2DTimeJitteredOBS 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 but parallel mode is advised.
Read more about SLIM's approach to parallel computing in Matlab.
The functions specific to this package can be found in the acq_funcs directory.
Examples and results are shown here. Scripts to reproduce the results can be found under /applications/Acquisition/2DTimeJitteredOBS/examples.
 Haneet Wason, and F.J. Herrmann  Time-jittered ocean bottom seismic acquisition, SEG Expanded Abstracts.
 Haneet Wason, and F.J. Herrmann  Ocean bottom seismic acquisition via jittered sampling, EAGE Expanded Abstracts.
 Hassan Mansour, Haneet Wason, Tim T.Y. Lin, and Felix J. Herrmann  Randomized marine acquisition with compressive sampling matrices, Geophysical Prospecting, vol. 60, 648-662.