Time-jittered blended marine acquisition on non-uniform spatial grids

This application is available only in the software release for members of SINBAD consortium.

This package contains a MATLAB implementation of a 2-D time-jittered blended marine acquisition scheme on non-uniform spatial (source) grid, and a deblending algorithm based on sparse inversion via one-norm-minimization incorporating the non-equispaced fast discrete curvelet transform.

Author: Haneet Wason (hwason@eos.ubc.ca)

Date: August, 2015

Contents

Downloading & Dependencies

The code can be found in the SLIM sofware release under applications/Acquisition/TimeJitteredOBS_OffTheGrid.

The code has been tested with Matlab R2014b.

This code uses the following packages, also found in the tools part of the SLIM software release.

Functions

Some functions specific to this package can be found in the applications/Acquisition/TimeJitteredOBS_OffTheGrid/misc_funcs directory.

Running & Parallelism

All the examples and results are produced by the scripts found in this software release under applications/Acquisition/TimeJitteredOBS_OffTheGrid. 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.

Read more about SLIM's approach to parallel computing in Matlab.

Examples and results

Examples and results are shown here. Scripts to reproduce the results can be found under applications/Acquisition/TimeJitteredOBS_OffTheGrid/examples.

References

[1] Haneet Wason and Felix J. Herrmann [2013]. Time-jittered ocean bottom seismic acquisition. SEG Technical Program Expanded Abstracts, vol. 32, pp. 1-6.

[2] Gilles Hennenfent, Lloyd Fenelon and Felix J. Herrmann [2010]. Nonequispaced curvelet transform for seismic data reconstruction: a sparsity-promoting approach, Geophysics, vol. 75, pp. WB203-WB210.

[3] Haneet Wason, Felix Oghenekohwo and Felix J. Herrmann [2015]. Presented at the 77th EAGE Conference & Exhibition (2015), doi: 10.3997/2214-4609.201413088.

Acknowledgements

Thanks to our sponsors and NSERC for their financial support.