Efficient wavefield inversion in acoustic VTI media applied to field data
Name:
Efficient wavefield inversion in acoustic VTI media applied to field data.pdf
Size:
2.470Mb
Format:
PDF
Description:
Accepted manuscript
Type
Conference PaperAuthors
Song, Chao
Alkhalifah, Tariq Ali

KAUST Department
Earth Science and Engineering ProgramPhysical Science and Engineering (PSE) Division
Seismic Wave Analysis Group
Date
2019-08-10Permanent link to this record
http://hdl.handle.net/10754/661914
Metadata
Show full item recordAbstract
Full-waveform inversion (FWI) is now often used to retrieve high-resolution velocity models in marine datasets. Directly matching the predicted data with the recorded ones at the sensor locations, results in a highly nonlinear optimization problem. Besides its inherent high nonlinearity (manifested in one form in the cycle-skipping problem), considering the anisotropic reality of the true Earth, a multi-parameter inversion imposes additional Null space and the tradeoff issues. To solve these problems, we formulate an optimization problem referred to as an efficient wavefield inversion (EWI) to retrieve multi-parameters. EWI uses background models to reconstruct the wavefield efficiently by introducing an enhanced source function (which includes secondary sources). In this setup, the inversion for the wavefield is linear and efficient. The anisotropic parameters are inverted in a separate direct optimization using the wavefield and the enhanced source function in an efficient matter (no modeling involved). We demonstrate the effectiveness of the proposed method on an Australian marine real data, and compare inverted results with check shot velocity information from a well.Citation
Song, C., & Alkhalifah, T. (2019). Efficient wavefield inversion in acoustic VTI media applied to field data. SEG Technical Program Expanded Abstracts 2019. doi:10.1190/segam2019-3211288.1Sponsors
We thank KAUST for sponsoring this research. We thank our SWAG colleagues for their helpful suggestions, especially Mahesh Kalita for providing the initial velocity model. 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.Publisher
Society of Exploration GeophysicistsConference/Event name
Society of Exploration Geophysicists International Exposition and Annual Meeting 2019, SEG 2019Additional Links
https://library.seg.org/doi/10.1190/segam2019-3211288.1ae974a485f413a2113503eed53cd6c53
10.1190/segam2019-3211288.1