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• W1993675471 abstract "PreviousNext No AccessSEG Technical Program Expanded Abstracts 2007Localization of seismic events by diffraction stackingAuthors: D. GajewskiD. AnikievB. KashtanE. TessmerC. VanelleD. GajewskiUniversity of HamburgSearch for more papers by this author, D. AnikievSt. Petersburg State UniversitySearch for more papers by this author, B. KashtanSt. Petersburg State UniversitySearch for more papers by this author, E. TessmerUniversity of HamburgSearch for more papers by this author, and C. VanelleUniversity of HamburgSearch for more papers by this authorhttps://doi.org/10.1190/1.2792738 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract The localization of seismic events is of great importance for hydro frac and reservoir monitoring. For deposits with weak 4‐D signatures the passive seismic method may provide an alternative option for reservoir characterization. We introduce a new localization technique which does not require any picking of events in the individual seismograms of the recording network. The localization is performed by a modified diffraction stack of the squared amplitudes of the input seismograms resulting in the image section. The method is target oriented and is best suited for large networks of surface and/or downhole receivers. The source location is obtained from the maximum of the image section for the time window under consideration. Since the focusing analysis is performed only in this section, no optimized search procedures are required. The source time is determined in a second processing step after the source location. Initial tests with 2‐D homogeneous media indicate the high potential of the method. Since the maximum of the image section is distinct even very weak events can be detected.Permalink: https://doi.org/10.1190/1.2792738FiguresReferencesRelatedDetailsCited bySpatiotemporal Graph Convolutional Networks for Earthquake Source Characterization4 November 2022 | Journal of Geophysical Research: Solid Earth, Vol. 127, No. 11Revisiting the Ridgecrest Aftershock Catalog Using a Modified Source-Scanning Algorithm Applied to Multiple Dense Local Arrays9 September 2022 | Seismological Research LettersCross-correlation stacking-based microseismic source location using three metaheuristic optimization algorithmsTunnelling and Underground Space Technology, Vol. 126Coherency analysis of polarity reversed diffracted wavefields using local semblance22 July 2022 | Geophysical Prospecting, Vol. 5An efficient diffraction stacking interferometric imaging location method for microseismic eventsQingshan Zhang and Wei Zhang8 March 2022 | GEOPHYSICS, Vol. 87, No. 3Receiver grouping strategies for hybrid geometric-mean reverse time migrationTong Bai, Bin Lyu, Paul Williamson, and Nori Nakata21 January 2022 | GEOPHYSICS, Vol. 87, No. 2Automatic Microseismic Event Detection With Variance Fractal Dimension via Multitrace Envelope Energy StackingIEEE Transactions on Geoscience and Remote Sensing, Vol. 60Comparing the performance of stacking-based methods for microearthquake location: a case study from the Burträsk fault, northern Sweden23 October 2021 | Geophysical Journal International, Vol. 228, No. 3Joint microseismic moment-tensor inversion and location using P- and S-wave diffraction stackingJincheng Xu, Wei Zhang, Xing Liang, Jiaojun Rong, and Junlun Li30 September 2021 | GEOPHYSICS, Vol. 86, No. 6Sensitivity analysis of the backprojection imaging method for seismic event location30 June 2021 | CT&F - Ciencia, Tecnología y Futuro, Vol. 11, No. 1Microseismic event localization using surface and borehole dataIvan Abakumov, Stine Gutjahr, and Serge A. 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Haines, Mike Batzle, Jyoti Behura, and Michael Davidson4 October 2013 | GEOPHYSICS, Vol. 78, No. 6Imaging microseismic events by diffraction stacking with moment tensor inversionDenis Anikiev, Frantisek Stanek, Jan Valenta, and Leo Eisner19 August 2013Improving microseismic imaging: Role of acquisition, velocity model, and imaging conditionJyoti Behura, Farhad Bazargani, and Farnoush Forghani19 August 2013Imaging direct as well as scattered events in microseismic data using inverse scattering theoryJyoti Behura and Roel Snieder19 August 2013Signal enhancement in microseismic data: Application to a field data setFarnoush Forghani-Arani, Mark Willis, Seth S. Haines, Jyoti Behura, and Mike Batzle19 August 2013Simultaneous microseismic event localization and source mechanism determination.O. Zhebel and L. Eisner25 October 2012Study of Real-Time Monitoring System on the Underground Mining Activities Based on Explosion Source Location Technology1 July 2012 | Applied Mechanics and Materials, Vol. 190-191Delineating complex spatiotemporal distribution of earthquake aftershocks: an improved Source-Scanning Algorithm16 April 2012 | Geophysical Journal International, Vol. 189, No. 3Micro-earthquake monitoring with sparsely sampled data3 March 2011 | Journal of Petroleum Exploration and Production Technology, Vol. 1, No. 1Probabilistic microearthquake location for reservoir monitoringRan Xuan and Paul Sava3 June 2010 | GEOPHYSICS, Vol. 75, No. 3Localization of seismic events in 3D media by diffraction stackingOksana Zhebel, Dirk Gajewski, and Claudia Vanelle21 October 2010Micro‐earthquake monitoring with sparsely‐sampled dataPaul Sava15 December 2008 SEG Technical Program Expanded Abstracts 2007ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2007 Pages: 3124 publication data© 2007 Copyright © 2007 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 14 Sep 2007 CITATION INFORMATION D. Gajewski, D. Anikiev, B. Kashtan, E. Tessmer, and C. Vanelle, (2007), Localization of seismic events by diffraction stacking, SEG Technical Program Expanded Abstracts : 1287-1291. https://doi.org/10.1190/1.2792738 Plain-Language Summary PDF DownloadLoading ..." @default.
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