Time-frequency sparse Gabor transform for detecting microseismic events

PreviousNext No AccessFirst International Meeting for Applied Geoscience & Energy Expanded AbstractsTime-frequency sparse Gabor transform for detecting microseismic eventsAuthors: Hanh BuiMauricio D. SacchiMirko van der BaanHanh BuiUniversity of AlbertaSearch for more papers by this author, Mauricio D. SacchiUniversity of AlbertaSearch for more papers by this author, and Mirko van der BaanUniversity of AlbertaSearch for more papers by this authorhttps://doi.org/10.1190/segam2021-3583114.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail AbstractEvent detection is a challenging and time-consuming step in microseismic processing because microseismic signals usually have low amplitudes and are often embedded in high-amplitude noise. This study proposes a fast, automatic, and promising method to detect microseismic arrivals using a time-frequency sparse Gabor transform. First, we perform time-frequency denoising based on an automatic noise-level estimation and a neighboring block thresholding technique. Then, we estimate the spectrum of the denoised data using the Gabor transform via a sparsity constrained inversion scheme. Microseismic events are detected based on a characteristic function calculated from the resulting Gabor spectrum. This study uses a robust sparse inversion to obtain high-resolution Gabor spectra and automatically detected events based on abrupt changes in the energy distribution in the time-frequency representation. We test the algorithm on a real microseismic data set in a Montney reservoir. The results show that the proposed method can automatically detect potential microseismic events with an increased precision rate and works well with noisy data.Note: This paper was accepted into the Technical Program but was not presented at IMAGE 2021 in Denver, Colorado.Keywords: microseismic, processing, inversion, algorithm, effectivePermalink: https://doi.org/10.1190/segam2021-3583114.1FiguresReferencesRelatedDetails First International Meeting for Applied Geoscience & Energy Expanded AbstractsISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2021 Pages: 3561 publication data© 2021 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished: 01 Sep 2021 CITATION INFORMATION Hanh Bui, Mauricio D. Sacchi, and Mirko van der Baan, (2021), "Time-frequency sparse Gabor transform for detecting microseismic events," SEG Technical Program Expanded Abstracts : 2016-2020. https://doi.org/10.1190/segam2021-3583114.1 Plain-Language Summary KeywordsmicroseismicprocessinginversionalgorithmeffectivePDF DownloadLoading ...