Full-waveform inversion for sparse OBN data

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2020Full-waveform inversion for sparse OBN dataAuthors: Zhiguang XueZhigang ZhangFeng LinJiawei MeiRongxin HuangPing WangZhiguang XueCGG, Zhigang ZhangCGG, Feng LinCGG, Jiawei MeiCGG, Rongxin HuangCGG, and Ping WangCGGhttps://doi.org/10.1190/segam2020-3427891.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail AbstractOcean bottom node (OBN) data is a natural choice for successful full-waveform inversion (FWI) applications given its full azimuth, long offsets, and good low-frequency signal-to-noise ratio (S/N), particularly for complex geologic settings like areas with salt. However, large-scale OBN surveys with dense node and shot spacing are financially challenging. Therefore, sparse OBN data for velocity surveys were proposed as an economic solution for large-scale exploration purpose. Such a survey has been examined on synthetic data for velocity model building in salt environment settings. More recently, it has been further studied on a real data example from the Atlantis field by controlled decimation of node and shot sampling. These results validate the feasibility of sparse OBN data for velocity surveys, but show deterioration on the quality of FWI models, which can cause noticeable damage on the corresponding image, due to weak stacking power from low trace density at a certain decimation level, especially for low-frequency FWI models where the S/N of data is poorer. In this paper, we incorporate structural and total variation (TV) regularization into Time-lag FWI to improve low frequency output models in sparse node surveys. Tests on two field datasets demonstrate that our proposed approach effectively suppresses migration artifacts and noise while preserving structural conformity in the FWI output model, which in turn leads to improved migration images.Note: This paper was accepted into the Technical Program but was not presented at the 2020 SEG Annual Meeting.Keywords: full-waveform inversion, ocean-bottom node, sparse, imaging, noisePermalink: https://doi.org/10.1190/segam2020-3427891.1FiguresReferencesRelatedDetailsCited byImaging the complex geology in the Central Basin Platform with land FWIDongren Bai, Lin Zheng, and Wubing Deng1 September 2021Exploring the full potential of a sparse nodes survey in the western Gulf of MexicoFeng Lin, Dorothy Ren, Jiawei Mei, Zhiguang Xue, Joakim Blanch, Marcus Cahoj, Jon Jarvis, and Alex Kostin1 September 2021Shenzi OBN: An imaging step changeCheryl Mifflin, Drew Eddy, Brad Wray, Lin Zheng, Nicolas Chazalnoel, and Rongxin Huang3 May 2021 | The Leading Edge, Vol. 40, No. 5 SEG Technical Program Expanded Abstracts 2020ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2020 Pages: 3887 publication data© 2020 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 30 Sep 2020 CITATION INFORMATION Zhiguang Xue, Zhigang Zhang, Feng Lin, Jiawei Mei, Rongxin Huang, and Ping Wang, (2020), "Full-waveform inversion for sparse OBN data," SEG Technical Program Expanded Abstracts : 686-690. https://doi.org/10.1190/segam2020-3427891.1 Plain-Language Summary Keywordsfull-waveform inversionocean-bottom nodesparseimagingnoisePDF DownloadLoading ...