Methods for seismic Sweet Spot Identification, Characterization and Prediction in Shale Plays

Abstract

PreviousNext No AccessUnconventional Resources Technology Conference, Denver, Colorado, 12-14 August 2013Methods for seismic Sweet Spot Identification, Characterization and Prediction in Shale PlaysAuthors: Marita GadingLars WensaasPaul CollinsMarita GadingStatoil Gulf Services LLC, USA;Search for more papers by this author, Lars WensaasStatoil ASA, Norway;Search for more papers by this author, and Paul CollinsStatoil Gulf Services LLCSearch for more papers by this authorhttps://doi.org/10.1190/urtec2013-142 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract URTeC 1581559 Unconventional resources such as natural gas in organic-rich shales have become very important exploration and production targets. Shale plays are present in a wide range of geological settings and shale reservoirs have a very large range of compositions, very complex micro-structures and a very variable, vertical nature. Some key controls on shale producibility include richness (TOC-content), thickness, thermal maturity, pore types and brittleness. Shale reservoir sweet spots are areas that produce noticeable better than other areas. This paper aims to demonstrate the importance of integrating all available data obtained from core measurements, wireline logs and seismic data for identification of production sweet spots within shale plays. The presence, extent, thickness and richness of source rock reservoir sections can be addressed directly from seismic data, based on established relationships between organic content and rock properties derived from analyses of well data. Seismic data also define structural style, depositional architecture, stratigraphic framework and lateral heterogeneities. Stochastically inverted 3D seismic data can be used to predict vertical stacks of predefined lithology classes away from well control. Elastic inversion can be performed to highlight potential reservoir sweet spots as variations in density. Seismic data carefully calibrated to well and core data can be used to characterize key reservoir properties, identification of main target zones for landing lateral wells, improved geo-steering and for quality valuations of fraccing barriers. Keywords: unconventional, gas, production, density, seismic, stacking, stratigraphyPermalink: https://doi.org/10.1190/urtec2013-142FiguresReferencesRelatedDetailsCited byA Thorough Review and Latest Advances in Shale Reservoirs: Seismic to Surveillance20 July 2020The significance of karst unconformities on overlying resource shales: Lessons learned from the Devonian Woodford Formation applied to the Permian Wolfcamp ShaleJing Zhang and Roger Slatt15 October 2019 | Interpretation, Vol. 7, No. 4Characteristics of lacustrine dolomitic rock reservoir and accumulation of tight oil in the Permian Fengcheng Formation, the western slope of the Mahu Sag, Junggar Basin, NW ChinaJournal of Asian Earth Sciences, Vol. 178Intelligent prediction and integral analysis of shale oil and gas sweet spots17 October 2018 | Petroleum Science, Vol. 15, No. 4Experimental study on natural gas migration and accumulation mechanism in sweet spots of tight sandstonesJournal of Natural Gas Science and Engineering, Vol. 36 Unconventional Resources Technology Conference, Denver, Colorado, 12-14 August 2013ISSN (online):2159-6832Copyright: 2013 Pages: 1229 publication data© 2013 Published in electronic format with permission by the Society of Exploration Geophysicists, American Association of Petroleum Geologists, and Society of Petroleum EngineersPublisher:Unconventional Resources Technology ConferenceSociety of Exploration Geophysicists HistoryPublished Online: 26 Sep 2013 CITATION INFORMATION Marita Gading, Lars Wensaas, and Paul Collins, (2013), "Methods for seismic Sweet Spot Identification, Characterization and Prediction in Shale Plays," SEG Global Meeting Abstracts : 1402-1406. https://doi.org/10.1190/urtec2013-142 Plain-Language Summary KeywordsunconventionalgasproductiondensityseismicstackingstratigraphyPDF DownloadLoading ...