Full waveform inversion based on genetic local search algorithm with hybrid-grid scheme
Seismic full waveform inversion (FWI) is a technique to build a high-resolution velocity model of the subsurface by iteratively minimizing the misfit between recorded and synthesized seismic data. However, classical FWI driven by gradient-based local optimization is vulnerable to local minima caused...
| Main Authors: | Hamamoto, M., Rahim Md Arshad, A., Prasad Ghosh, D. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.23596 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2019
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069169448&doi=10.1109%2fISCAIE.2019.8743763&partnerID=40&md5=f948336bac384cdb144f60f5f14b2b74 http://eprints.utp.edu.my/23596/ |
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