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matched_field_processing_simple's Introduction

Matched Field Processing (MFP)

THIS REPOSITORY IS SUPERSEDED BY https://github.com/schipp/fast_beamforming

DOI

Determine nearby sources of seismic signal from dense array data using "Matched Field Processing". The plane-wave-assumption of classical beamforming is violated in cases where sources are near or inside the seismic array. This method is essentially 3D-beamforming, where a grid-search is performed on a 3D-grid (here x,y,z) instead of 2D in classical beamforming (usually backazimuth and velocity). Green's Function spectra are computed for a medium with constant velocity at each grid point and compared to recorded (i.e., synthetic for now) spectra. The beampower is computed using the Bartlett processor.

For now, this is a synthetic demonstration. Eventually, I will expand this to real data.

This code follows the methodology detailed in Umlauft & Korn (2019).

Umlauft, J., & Korn, M. (2019). 3-D fluid channel location from noise tremors using matched field processing. Geophysical Journal International, 219(3), 1550โ€“1561. doi

requirements

  • tqdm

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matched_field_processing_simple's Issues

How to expand this to real seismic data?

Thanks a lot for sharing your wonderful work, in this logic demo, you place a source somewhere in study region, calculate the cross-correlation density matrix(CSDM) and than calculate beampower of every grid. I want to know, if we use real seismic data, what changes do you want to make to this scripts? eg., how to calculate Green's function spectrum (Suppose we don't have wave velocity information, only seismic noise data)๏ผŸI am a novice in ambient noise, if you need, I can help you do something I can do to improve this script.
Wish your reply, thanks again!

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