Fast imaging with surface-related multiples

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

This software provides an algorithm to image from the entire upgoing wavefield by sparse inversion. The inversion process is sped up by using source/frequency subsampling and renewal.

Author: Ning Tu ( Date: Dec/17/2015


Downloading & Dependencies

The code can be found in the SLIM software release under /applications/Imaging/L1MIGRATIONwSRM.

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.

If you want to use your own modules to do modelling or multiple prediction, please contact the author.

Running & Parallelism

All the examples and results are produced by the scripts found in this software release under /applications/Imaging/L1MIGRATIONwSRM/examples/. Start matlab from /applications/Imaging/L1MIGRATIONwSRM to add the appropriate paths.

To run the scripts follow the instructions in the README file enclosed inside the folder for each set of examples.

The scripts can be run in serial mode but parallel mode is advised.

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/Imaging/L1MIGRATIONwSRM/examples.


[1]. Tu, Ning and Felix J. Herrmann, [2012] Fast imaging with surface-related multiples by sparse inversion. Geophysical Journal International, vol 201, 304-317. See the "References" section of this paper for a detailed list of references.


Thanks to our sponsors and NSERC for their financial support. The author is also financially supported by China Scholarship Council. The salt dome model is by courtesy of Eric Verschuur. The Sigsbee 2B model is by courtesy of the SMAART JV.