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dc.contributor.authorAkram, Jubran
dc.contributor.authorPeter, Daniel
dc.contributor.authorEaton, David
dc.date.accessioned2019-04-22T12:53:44Z
dc.date.available2019-04-22T12:53:44Z
dc.date.issued2019-06-07
dc.identifier.citationAkram J, Peter D, Eaton D (2019) A k-mean characteristic function for optimizing STA/LTA based detection of microseismic events. GEOPHYSICS: 1–44. Available: http://dx.doi.org/10.1190/geo2018-0484.1.
dc.identifier.issn0016-8033
dc.identifier.issn1942-2156
dc.identifier.doi10.1190/geo2018-0484.1
dc.identifier.urihttp://hdl.handle.net/10754/631978
dc.description.abstractEvent detection is an essential component of microseismic data analysis. This process is typically carried out using a short- and long-term average ratio (STA/LTA) method, which is simple and computationally efficient but often yields inconsistent results for noisy datasets. Here, we aim to optimize the performance of the STA/LTA method by testing different input forms of three-component waveform data and different characteristic functions (CFs), including a proposed k-mean CF. These tests are evaluated using receiver operating characteristic (ROC) analysis and compared based on synthetic and field data examples. Our analysis shows that the STA/LTA method using a k-mean CF improves the detection sensitivity and yields more robust event detection on noisy datasets than some previous approaches. In addition, microseismic events are detected efficiently on field data examples using the same detection threshold obtained from the ROC analysis on synthetic data examples. We recommend the use of Youden index based on ROC analysis using a training subset, extracted from the continuous data, to further improve the detection threshold for field microseismic data.
dc.publisherSociety of Exploration Geophysicists
dc.relation.urlhttps://library.seg.org/doi/10.1190/geo2018-0484.1
dc.rightsArchived with thanks to GEOPHYSICS
dc.subjectMicroseismic
dc.subjectevent detection
dc.subjectSTA/LTA
dc.subjectk-nearest neighbors
dc.subjectdetection threshold
dc.subjectreceiver operating characteristic (ROC) analysis
dc.titleA k-mean characteristic function for optimizing STA/LTA based detection of microseismic events
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentExtreme Computing Research Center
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalGEOPHYSICS
dc.eprint.versionPost-print
dc.contributor.institutionUniversity of Calgary, Department of Geoscience, Calgary, Canada..
kaust.personAkram, Jubran
kaust.personPeter, Daniel
refterms.dateFOA2019-04-22T13:17:40Z
dc.date.published-online2019-06-07
dc.date.published-print2019-07


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