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Seismic waveform tomography with shot-encoding using a restarted L-BFGS algorithm.

Ying Rao^1,2, Yanghua Wang³

¹State Key Laboratory of Petroleum Resources & Prospecting, China University of Petroleum (Beijing), Beijing, 102249, China.

Scientific Reports

|August 19, 2017

Summary

This summary is machine-generated.

A new restarted L-BFGS algorithm enhances seismic full-waveform inversion (FWI) stability and efficiency. This method overcomes computational challenges, enabling advanced 3D seismic data analysis.

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Area of Science:

Geophysics
Computational Seismology

Background:

Full-waveform inversion (FWI) is crucial for seismic imaging.
Shot-encoding reduces computational cost in FWI but can cause instability.
Standard L-BFGS algorithms struggle with shot-encoding-induced instabilities.

Purpose of the Study:

To develop a stable and efficient algorithm for full-waveform inversion (FWI).
To enable the application of advanced FWI to 3D seismic field data.
To address the crosstalk effect and convergence issues in L-BFGS with shot-encoding.

Main Methods:

Proposed a restarted limited-memory BFGS (L-BFGS) algorithm.
Implemented shot-encoding with random re-coding within iterative segments.
Balanced invariant and random encoding strategies in each segment.

Main Results:

The restarted L-BFGS algorithm demonstrates improved stability and efficiency.
Successfully suppressed crosstalk effects inherent in standard shot-encoding.
Enabled the first application of advanced FWI to 3D seismic field data.

Conclusions:

The restarted L-BFGS algorithm is a breakthrough for 3D seismic FWI.
This method effectively balances computational efficiency, convergence stability, and inversion quality.
Paves the way for more robust and accurate seismic imaging techniques.