Fast least-squares imaging with source estimation using multiples

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

This software provides an algorithm to do fast least-squares migration while estimating the source wavelet on the fly by variable projection. Using multiples further improves image quality and enables the retrieval of the true-amplitude image and source wavelet. The inversion process is sped up by using source/frequency subsampling and rerandomization.

Author: Ning Tu (tning@eos.ubc.ca) Date: Dec/17/2015

Contents

Downloading & Dependencies

The code can be found in the SLIM software release under /applications/Imaging/L1MIGRATIONwVP.

The code has been tested with Matlab R2013b 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, please contact the author.

Running & Parallelism

All the examples and results are produced by the scripts found in this software release under /applications/Imaging/L1MIGRATIONwVP/examples/. Start matlab from /applications/Imaging/L1MIGRATIONwVP 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 while 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/L1MIGRATIONwVP/examples.

References

[1]. Ning Tu, Aleksandr Aravkin, Tristan van Leeuwen, Tim Lin, and Felix J. Herrmann, "Source estimation with surface-related multiples—fast ambiguity-resolved seismic imaging", submitted to Geophysical Journal International. 2015

[2]. Ning Tu, Aleksandr Y. Aravkin, Tristan van Leeuwen, and Felix J. Herrmann, “Fast least-squares migration with multiples and source estimation”, EAGE. 2013.

[3]. Aleksandr Y. Aravkin, Tristan van Leeuwen, and Ning Tu, “Sparse seismic imaging using variable projection”, ICASSP. 2012

Acknowledgements

Thanks to our sponsors and NSERC for their financial support. The author is also receives a scholarship from China Scholarship Council. The synthetic Compass model is by courtesy of BG Group.