Waveform inversion of passive seismic data using multi-scattered energy
KAUST DepartmentEarth Science and Engineering Program
Physical Science and Engineering (PSE) Division
Seismic Wave Analysis Group
Permanent link to this recordhttp://hdl.handle.net/10754/663475
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AbstractLocating 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.
CitationSong, C., Alkhalifah, T., & Wu, Z. (2018). Waveform Inversion of Passive Seismic Data Using Multi-Scattered Energy. 80th EAGE Conference and Exhibition 2018. doi:10.3997/2214-4609.201801056
SponsorsWe 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.
Conference/Event name80th EAGE Conference and Exhibition 2018: Opportunities Presented by the Energy Transition