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• # A Field Data Application of Regularized Elastic Passive Equivalent Source Inversion With Full Waveform Inversion

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Affiliations: 2 CGG
• Publisher: European Association of Geoscientists & Engineers
• Source: Conference Proceedings, 81st EAGE Conference and Exhibition 2019, Jun 2019, Volume 2019, p.1 - 5
• DOI:

### Abstract

Summary

Using full waveform inversion (FWI) to locate passive events allows for an automatic process. Passive seismic data are often acquired on solid surfaces including the bottom of the sea, in which multi-component measurement under the elastic assumption is important. We develop a regularized elastic FWI of passive seismic events to invert for the source image, source function and the velocity model, simultaneously, without any a prior information about the source. We reformulate the elastic problem by representing the source images by $P$-wave and $S$-wave perturbation coefficients. The unknown source ignition time is mitigated by convolving reference traces with the observed and modeled data. A total variation regularization is applied to improve the robustness of the velocity inversion considering the limited sources and illumination angles of microseismic experiments. We also applied a focusing function to the source to overcome the possible limited aperture coverage of the acquisition, especially in well recording. The adjoint-state method is used to derive the gradient for the source image, source function and velocity. The resulting inversion framework is capable of handling limited aperture data and limited sources. Application to synthetic and real data with limited recording aperture along a well demonstrates the effectiveness of the approach.

/content/papers/10.3997/2214-4609.201900677
2019-06-03
2023-03-20

References

1. Guo, Q. and Alkhalifah, T.
[2017] Elastic reflection-based waveform inversion with a nonlinear approach. Geophysics, 82(6), R309–R321.
2. Wang, H. and Alkhalifah, T.
[2018] Microseismic imaging using a source function independent full waveform inversion method. Geophysical Journal International, 214(1), 46–57.
3. Warpinski, N. et al.
[2009] Microseismic monitoring: Inside and out. Journal of Petroleum Technology, 61(11), 80–85.
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