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- W2058762022 abstract "Full waveform inversion (FWI) produces high-resolution velocity models through an iterative inversion scheme that minimizes the difference between real and modeled data. Due to the limitations of current FWI algorithms, clean, low-frequency data are desirable to minimize the potential for cycle skipping and crucial for a successful FWI update. We apply FWI to a high-quality, broadband, variable-depth streamer data set acquired in the deep water Kwanza Basin of offshore Angola. We jointly update V0 and e at low frequencies, and then follow with a V0-only, higher-frequency inversion. The jointly updated V0 and e models show improved resolution and improve image and gather quality. The high-frequency update further refines the velocity model by detecting smaller scale velocity variations that are unresolvable with a low-frequency inversion. We describe our workflow and present the results of the joint V0 and e inversion and the higher-frequency, V0-only inversion." @default.
- W2058762022 created "2016-06-24" @default.
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- W2058762022 date "2014-11-04" @default.
- W2058762022 modified "2023-09-23" @default.
- W2058762022 title "Full Waveform Inversion Using Broadband Variable-depth Streamer Data in Deep Water West Africa" @default.
- W2058762022 doi "https://doi.org/10.3997/2214-4609.20147413" @default.
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