Integration of multiscale attributes using a semisupervised machine learning algorithm

PreviousNext No AccessSecond International Meeting for Applied Geoscience & EnergyIntegration of multiscale attributes using a semisupervised machine learning algorithmAuthors: Salma AlsinanPhilippe NivletYazeed AltowairqiHarald KargSalma AlsinanSaudi AramcoSearch for more papers by this author, Philippe NivletSaudi AramcoSearch for more papers by this author, Yazeed AltowairqiSaudi AramcoSearch for more papers by this author, and Harald KargSaudi AramcoSearch for more papers by this authorhttps://doi.org/10.1190/image2022-3728196.1 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail AbstractThe paper presents a machine learning workflow to integrate data from basin modelling, rock physics, geochemistry, and production to predict regional sweet spots in unconventional reservoirs. The presented workflow uses a combination of different statistical learning techniques to reduce the dimensionality of the attributes and combine them into a joint qualitative label at well locations. A semi-supervised algorithm is then used to propagate the classified labels to the unlabeled data whilst adhering to a set of predefined spatial constraints. The results show the strength of data integration in reducing the uncertainty associated with each data type.Keywords: machine learning, semisupervised learning, sweetspot, maturity, integrationPermalink: https://doi.org/10.1190/image2022-3728196.1FiguresReferencesRelatedDetails 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 Salma Alsinan, Philippe Nivlet, Yazeed Altowairqi, and Harald Karg, (2022), "Integration of multiscale attributes using a semisupervised machine learning algorithm," SEG Technical Program Expanded Abstracts : 1815-1819. https://doi.org/10.1190/image2022-3728196.1 Plain-Language Summary Keywordsmachine learningsemisupervised learningsweetspotmaturityintegrationPDF DownloadLoading ...