Waveform inversion of passive seismic data using multi-scattered energy

Tariq Ali Alkhalifah, Z. Wu, Chao Song

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Locating micro-seismic events highly relies on the velocity accuracy. Full waveform inversion (FWI) has the potential to invert velocity and micro-seismic source image simultaneously. However, waveform inversion in the micro-seismic case is dominated by transmission energy, which results in poor illumination and low resolution. We develop a waveform inversion using multi-scattered energy for passive seismic data to extract more information out of the data. By utilizing transmission information from the single- or double-scattered wavefield, computed from a predicted scatter field acting as secondary sources, we can provide better illumination of the velocity model. The inversion results on Marmousi model show that by taking advantage of multi-scattered energy and starting from a reasonable frequency (3Hz), the proposed method can yield better inverted velocity models and source images compared with conventional FWI.
Original languageEnglish (US)
Title of host publication80th EAGE Conference and Exhibition 2018
PublisherEAGE Publications BV
ISBN (Print)9789462822542
DOIs
StatePublished - Oct 16 2018

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: We thank KAUST for its support and the SWAG group for the collaborative environment. We thank H. Wang and M. Kalita for fruitful discussions and suggestions. This work utilized the resources of the Supercomputing Laboratory at King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia, and we are grateful for that.

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