Estimation of fracture parameters using elastic full-waveform inversion

Handle URI:
http://hdl.handle.net/10754/625382
Title:
Estimation of fracture parameters using elastic full-waveform inversion
Authors:
Zhang, Zhendong ( 0000-0003-4689-1577 ) ; Alkhalifah, Tariq Ali ( 0000-0002-9363-9799 ) ; Oh, Juwon; Tsvankin, Ilya
Abstract:
Current methodologies to characterize fractures at the reservoir scale have serious limitations in spatial resolution and suffer from uncertainties in the inverted parameters. Here, we propose to estimate the spatial distribution and physical properties of fractures using full-waveform inversion (FWI) of multicomponent surface seismic data. An effective orthorhombic medium with five clusters of vertical fractures distributed in a checkboard fashion is used to test the algorithm. A shape regularization term is added to the objective function to improve the estimation of the fracture azimuth, which is otherwise poorly constrained. The cracks are assumed to be penny-shaped to reduce the nonuniqueness in the inverted fracture weaknesses and achieve a faster convergence. To better understand the inversion results, we analyze the radiation patterns induced by the perturbations in the fracture weaknesses and orientation. Due to the high-resolution potential of elastic FWI, the developed algorithm can recover the spatial fracture distribution and identify localized “sweet spots” of intense fracturing. However, the fracture azimuth can be resolved only using long-offset data.
KAUST Department:
Physical Sciences and Engineering (PSE) Division; Earth Science and Engineering Program
Citation:
Zhang Z, Alkhalifah T, Oh J-W, Tsvankin I (2017) Estimation of fracture parameters using elastic full-waveform inversion. SEG Technical Program Expanded Abstracts 2017. Available: http://dx.doi.org/10.1190/segam2017-17663573.1.
Publisher:
Society of Exploration Geophysicists
Journal:
SEG Technical Program Expanded Abstracts 2017
Issue Date:
17-Aug-2017
DOI:
10.1190/segam2017-17663573.1
Type:
Conference Paper
Sponsors:
We thank Nabil Masmoudi and Yike Liu (IGG, CAS) for their helpful discussions. For computer time, this research used the resources of the Supercomputing Laboratory at King Abdullah University of Science & Technology (KAUST) in Thuwal, Saudi Arabia.
Additional Links:
http://library.seg.org/doi/10.1190/segam2017-17663573.1
Appears in Collections:
Conference Papers; Physical Sciences and Engineering (PSE) Division; Earth Science and Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorZhang, Zhendongen
dc.contributor.authorAlkhalifah, Tariq Alien
dc.contributor.authorOh, Juwonen
dc.contributor.authorTsvankin, Ilyaen
dc.date.accessioned2017-08-23T11:54:06Z-
dc.date.available2017-08-23T11:54:06Z-
dc.date.issued2017-08-17en
dc.identifier.citationZhang Z, Alkhalifah T, Oh J-W, Tsvankin I (2017) Estimation of fracture parameters using elastic full-waveform inversion. SEG Technical Program Expanded Abstracts 2017. Available: http://dx.doi.org/10.1190/segam2017-17663573.1.en
dc.identifier.doi10.1190/segam2017-17663573.1en
dc.identifier.urihttp://hdl.handle.net/10754/625382-
dc.description.abstractCurrent methodologies to characterize fractures at the reservoir scale have serious limitations in spatial resolution and suffer from uncertainties in the inverted parameters. Here, we propose to estimate the spatial distribution and physical properties of fractures using full-waveform inversion (FWI) of multicomponent surface seismic data. An effective orthorhombic medium with five clusters of vertical fractures distributed in a checkboard fashion is used to test the algorithm. A shape regularization term is added to the objective function to improve the estimation of the fracture azimuth, which is otherwise poorly constrained. The cracks are assumed to be penny-shaped to reduce the nonuniqueness in the inverted fracture weaknesses and achieve a faster convergence. To better understand the inversion results, we analyze the radiation patterns induced by the perturbations in the fracture weaknesses and orientation. Due to the high-resolution potential of elastic FWI, the developed algorithm can recover the spatial fracture distribution and identify localized “sweet spots” of intense fracturing. However, the fracture azimuth can be resolved only using long-offset data.en
dc.description.sponsorshipWe thank Nabil Masmoudi and Yike Liu (IGG, CAS) for their helpful discussions. For computer time, this research used the resources of the Supercomputing Laboratory at King Abdullah University of Science & Technology (KAUST) in Thuwal, Saudi Arabia.en
dc.publisherSociety of Exploration Geophysicistsen
dc.relation.urlhttp://library.seg.org/doi/10.1190/segam2017-17663573.1en
dc.rightsArchived with thanks to SEG Technical Program Expanded Abstracts 2017en
dc.subjectelasticen
dc.subjectfracturesen
dc.subjectfull-waveform inversionen
dc.subject3-Cen
dc.subject3Den
dc.titleEstimation of fracture parameters using elastic full-waveform inversionen
dc.typeConference Paperen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.contributor.departmentEarth Science and Engineering Programen
dc.identifier.journalSEG Technical Program Expanded Abstracts 2017en
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionColorado School of Minesen
kaust.authorZhang, Zhendongen
kaust.authorAlkhalifah, Tariq Alien
kaust.authorOh, Juwonen
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