Fast multi-parameter anisotropic full waveform inversion with irregular shot sampling

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2014Fast multi-parameter anisotropic full waveform inversion with irregular shot samplingAuthors: Chao Wang*David YingstJohn BrittanPaul FarmerJacques LeveilleChao Wang*ION GeophysicalSearch for more papers by this author, David YingstION GeophysicalSearch for more papers by this author, John BrittanION GeophysicalSearch for more papers by this author, Paul FarmerION GeophysicalSearch for more papers by this author, and Jacques LeveilleION GeophysicalSearch for more papers by this authorhttps://doi.org/10.1190/segam2014-0234.1 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract The goal of full waveform inversion (FWI) is to derive high-fidelity earth models for seismic imaging by fitting the acquired data. One of the major drawback of FWI is that it is highly compute-intensive. In this paper, we propose a fast multi-parameter FWI to dramatically reduce the computation cost. Considering the often significant numbers of sources (and receivers) in 3D seismic data acquisition, we propose a method to largely reduce the simulation time per iteration by using a reasonably small subset of sources instead of the full volume. We choose the subset by randomly picking a number of sequential sources, designed to follow an irregular sampling pattern. This subset will be re-selected and different at each iteration and needs to be sufficiently sampled to avoid artifacts. The results achieved from this subsampling approach are comparable to the conventional method, with a highly reduced computation cost at each iteration. Our forward modeling and its adjoint computation are based on the acoustic wave equation in vertical transversely isotropic (VTI) media and our target model includes three parameters that are P-wave velocity and Thomsen's anisotropy parameters (epsilon and delta). During the iterative process of the multiparameter FWI, we update three parameters simultaneously at each iteration. Multi-parameter VTI FWI does not require any extra wavefield computation than mono-parameter VTI FWI. Hense it is more efficient and speeds up the process if our target model includes more than one parameter. This paper presents the time domain implementation for a fast multi-parameter VTI FWI. This approach will be illustrated on 3D marine data from the Green Canyon area of the Gulf of Mexico. Keywords: multiparameter, optimization, random, full-waveform inversion, VTIPermalink: https://doi.org/10.1190/segam2014-0234.1FiguresReferencesRelatedDetailsCited byAcquisition design for direct reflectivity and velocity estimation from blended and irregularly sampled data22 July 2019 | Geophysical Prospecting, Vol. 67, No. 8Full-waveform inversion for imaging and geologic interpretation: A deepwater Gulf of Mexico case studyYannick Cobo, Carlos Calderón-Macías, and Shihong Chi15 March 2019 | Interpretation, Vol. 7, No. 2Full waveform inversion using oriented time-domain imaging method for vertical transverse isotropic media4 October 2017 | Geophysical Prospecting, Vol. 65References16 June 2017Full-waveform inversion by multiscale temporal integrationPan Deng, Wei Huang, and Hua-Wei Zhou1 September 2016Full-Waveform Inversion II Complete Session1 September 2016 SEG Technical Program Expanded Abstracts 2014ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2014 Pages: 5183 publication data© 2014 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 05 Aug 2014 CITATION INFORMATION Chao Wang*, David Yingst, John Brittan, Paul Farmer, and Jacques Leveille, (2014), "Fast multi-parameter anisotropic full waveform inversion with irregular shot sampling," SEG Technical Program Expanded Abstracts : 1147-1151. https://doi.org/10.1190/segam2014-0234.1 Plain-Language Summary Keywordsmultiparameteroptimizationrandomfull-waveform inversionVTIPDF DownloadLoading ...