Correcting for salt misinterpretation with full-waveform inversion (2018)

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2018Correcting for salt misinterpretation with full-waveform inversionAuthors: Zhigang ZhangJiawei MeiFeng LinRongxin HuangPing WangZhigang ZhangCGG, Jiawei MeiCGG, Feng LinCGG, Rongxin HuangCGG, and Ping WangCGGhttps://doi.org/10.1190/segam2018-2997711.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Using full-waveform inversion (FWI) to update velocity models that contain salt bodies with high velocity contrasts is challenging. It is even harder if erroneous salt geometry is part of the velocity model. Shen et al. (2017) showed a successful FWI application that corrected some misinterpretation of salt structures and resulted in improved subsalt images at the Atlantis field in the Gulf of Mexico. Their study stressed the importance of the low frequencies (usable down to 1.6 Hz), full azimuths, and long offsets of OBN data. Encouraged by the success at Atlantis, we revisited some aspects of FWI algorithms to minimize cycle-skipping and amplitude discrepancy issues that are common in the presence of salt and salt misinterpretation. Here we present the use of traveltime misfit measured in frequency-dependent time windows as the FWI cost function. It is devised to minimize the negative impact from the amplitude discrepancy and cycleskipping between the recorded data and modeled synthetic data. Furthermore, we use the crosscorrelation coefficient between the recorded data and synthetic data as a weight function in gradient computation to promote traveltime measurements of higher quality. We demonstrate the effect of our approach using a full-azimuth streamer data set in an area of complex shallow salt bodies in the Gulf of Mexico. Presentation Date: Tuesday, October 16, 2018 Start Time: 1:50:00 PM Location: 207C (Anaheim Convention Center) Presentation Type: Oral Keywords: algorithm, full-waveform inversion, salt, subsaltPermalink: https://doi.org/10.1190/segam2018-2997711.1FiguresReferencesRelatedDetailsCited byAutomated salt model building: From compaction trend to final velocity model using waveform inversionMike Warner, Tenice Nangoo, Adrian Umpleby, Nikhil Shah, Chris Manuel, Dimitri Bevc, and Miguel Merino1 March 2023 | The Leading Edge, Vol. 42, No. 3Enhancing salt model resolution and subsalt imaging with elastic FWIZhigang Zhang, Zedong Wu, Zhiyuan Wei, Jiawei Mei, Rongxin Huang, and Ping Wang1 March 2023 | The Leading Edge, Vol. 42, No. 3Toward high-fidelity imaging: Dynamic matching FWI and its applicationsYi Huang, Jian Mao, James Sheng, Mike Perz, Yang He, Feng Hao, Faqi Liu, Bin Wang, Seet Li Yong, Daniel Chaikin, Adriana Citlali Ramirez, Matt Hart, and Henrik Roende1 February 2023 | The Leading 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