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dc.contributor.authorWang, Hanchen
dc.contributor.authorAlkhalifah, Tariq Ali
dc.date.accessioned2018-04-10T08:38:05Z
dc.date.available2018-04-10T08:38:05Z
dc.date.issued2018-03-26
dc.identifier.citationWang H, Alkhalifah T (2018) Micro-seismic imaging using a source function independent full waveform inversion method. Geophysical Journal International. Available: http://dx.doi.org/10.1093/gji/ggy121.
dc.identifier.issn0956-540X
dc.identifier.issn1365-246X
dc.identifier.doi10.1093/gji/ggy121
dc.identifier.urihttp://hdl.handle.net/10754/627425
dc.description.abstractAt the heart of micro-seismic event measurements is the task to estimate the location of the source micro-seismic events, as well as their ignition times. The accuracy of locating the sources is highly dependent on the velocity model. On the other hand, the conventional micro-seismic source locating methods require, in many cases manual picking of traveltime arrivals, which do not only lead to manual effort and human interaction, but also prone to errors. Using full waveform inversion (FWI) to locate and image micro-seismic events allows for an automatic process (free of picking) that utilizes the full wavefield. However, full waveform inversion of micro-seismic events faces incredible nonlinearity due to the unknown source locations (space) and functions (time). We developed a source function independent full waveform inversion of micro-seismic events to invert for the source image, source function and the velocity model. It is based on convolving reference traces with these observed and modeled to mitigate the effect of an unknown source ignition time. The adjoint-state method is used to derive the gradient for the source image, source function and velocity updates. The extended image for the source wavelet in Z axis is extracted to check the accuracy of the inverted source image and velocity model. Also, angle gathers is calculated to assess the quality of the long wavelength component of the velocity model. By inverting for the source image, source wavelet and the velocity model simultaneously, the proposed method produces good estimates of the source location, ignition time and the background velocity for synthetic examples used here, like those corresponding to the Marmousi model and the SEG/EAGE overthrust model.
dc.description.sponsorshipWe thank KAUST for sponsoring this research. We also thank to the team of SWAG for their help during the research.
dc.publisherOxford University Press (OUP)
dc.relation.urlhttps://academic.oup.com/gji/advance-article/doi/10.1093/gji/ggy121/4953756
dc.rightsThis is a pre-copyedited, author-produced PDF of an article accepted for publication in Geophysical Journal International following peer review. The version of record is available online at: https://academic.oup.com/gji/advance-article/doi/10.1093/gji/ggy121/4953756.
dc.subjectFull waveform inversion
dc.subjectInverse theory
dc.subjectJoint inversion
dc.titleMicro-seismic imaging using a source function independent full waveform inversion method
dc.typeArticle
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.contributor.departmentSeismic Wave Analysis Group
dc.identifier.journalGeophysical Journal International
dc.eprint.versionPost-print
kaust.personWang, Hanchen
kaust.personAlkhalifah, Tariq Ali
refterms.dateFOA2018-06-13T17:33:03Z
dc.date.published-online2018-03-26
dc.date.published-print2018-07-01


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