PreviousNext No AccessSecond International Meeting for Applied Geoscience & EnergyImproving subsalt images using FWI and FWI imaging: A streamer case study at Big FootAuthors: Weihong FeiJingru ChenMin YangLeah GrassiErik EversonPaul BovetMarin LaomanaSheree WoldAlex Yanjun HaoChi ChenShubin ZengZhiyuan WeiWeihong FeiChevronSearch for more papers by this author, Jingru ChenChevronSearch for more papers by this author, Min YangChevronSearch for more papers by this author, Leah GrassiChevronSearch for more papers by this author, Erik EversonChevronSearch for more papers by this author, Paul BovetChevronSearch for more papers by this author, Marin LaomanaEquinorSearch for more papers by this author, Sheree WoldMarubeniSearch for more papers by this author, Alex Yanjun HaoCGGSearch for more papers by this author, Chi ChenCGGSearch for more papers by this author, Shubin ZengCGGSearch for more papers by this author, and Zhiyuan WeiCGGSearch for more papers by this authorhttps://doi.org/10.1190/image2022-3746207.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail AbstractBig Foot is a Chevron operated oil field with three-way Miocene pay sand truncated to Big Foot salt. The field is in an active development stage with several wells remaining in the drill queue. However, the subsalt images below the Big Foot salt and nearby Sigsbee salt remain challenging after several rounds of velocity model building and imaging efforts in the last few years using conventional top-down approach. The main imaging challenges for Big Foot include: the complexity of overburden salts which create large velocity uncertainty; the strong swing noise originating from Big Foot salt which impacts fault resolution; and the high dip structure against Big Foot salt which creates poor illumination. To help reduce uncertainty in the field development plan, we applied the latest pre-processing workflow and FWI interleaving interpretation-guided scenario tests using full azimuth (FAZ) and wide azimuth (WAZ) streamer data over the Big Foot area, which significantly improved the velocity model resolution, seismic image quality, fault delineation, and image frequency bandwidth. Additionally, we applied FWI Imaging, a superior method for subsurface imaging, and improved the image of highly dipping target reflectors with better continuity and higher S/N. Compared with the legacy image, the latest drilling result has showed the seismic misties have been significantly reduced using interpretations based on the re-processed final image.Keywords: FWI, full-waveform inversion, post migration optimization, velocity model buildingPermalink: https://doi.org/10.1190/image2022-3746207.1FiguresReferencesRelatedDetails Second International Meeting for Applied Geoscience & EnergyISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2022 Pages: 3694 publication data© 2022 Published in electronic format with permission by the Society of Exploration Geophysicists and the American Association of Petroleum GeologistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 15 Aug 2022 CITATION INFORMATION Weihong Fei, Jingru Chen, Min Yang, Leah Grassi, Erik Everson, Paul Bovet, Marin Laomana, Sheree Wold, Alex Yanjun Hao, Chi Chen, Shubin Zeng, and Zhiyuan Wei, (2022), "Improving subsalt images using FWI and FWI imaging: A streamer case study at Big Foot," SEG Technical Program Expanded Abstracts : 902-906. https://doi.org/10.1190/image2022-3746207.1 Plain-Language Summary KeywordsFWIfull-waveform inversionpost migration optimizationvelocity model buildingPDF DownloadLoading ... 

Improving subsalt images using FWI and FWI imaging: A streamer case study at Big Foot


 Deepwater drilling is an expensive complex operation. Real-time surveillance data and analysis for drilling operations are very important for ensuring safety and cost control. Due to the high production rate and high expense of deepwater wells, there are usually not many wells planned for developing a deepwater field. Therefore, the results of each well hold particular significance as additional reservoir surveillance data and are crucial for optimizing field development and production forecasts.
 The subject field of this paper is WRB (pseudonym) which is a deepwater field located in the Gulf of Mexico. In the past few years, about one to two new wells per year came online at WRB field. Thus, there has been a constant stream of surveillance data from both drilling new wells and production/injection at existing wells. All the surveillance data were processed and utilized for updating the reservoir simulation model that ultimately serves as the engine for optimizing the future well locations.
 This paper is intended to review and share the key learnings and best practices of Surveillance, Analysis and Optimization (SA&O) during the active drilling campaign of WRB field. A comprehensive effort was undertaken to review the historic surveillance activities carried out during drilling and post-drill, and to review the consequent value-adding decisions from effective use of surveillance information.

Surveillance, Analysis, and Optimization (SA&O) During Active Drilling Campaign

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Improving subsalt images using FWI and FWI imaging: A streamer case study at Big Foot

Surveillance, Analysis, and Optimization (SA&O) During Active Drilling Campaign