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dc.contributor.authorHanafy, Sherif M.
dc.contributor.authorHoteit, Hussein
dc.contributor.authorLi, Jing
dc.contributor.authorSchuster, Gerard T.
dc.date.accessioned2021-04-04T06:55:28Z
dc.date.available2021-04-04T06:55:28Z
dc.date.issued2021-03-30
dc.date.submitted2020-08-26
dc.identifier.citationHanafy, S. M., Hoteit, H., Li, J., & Schuster, G. T. (2021). Near-surface real-time seismic imaging using parsimonious interferometry. Scientific Reports, 11(1). doi:10.1038/s41598-021-86531-5
dc.identifier.issn2045-2322
dc.identifier.pmid33785824
dc.identifier.doi10.1038/s41598-021-86531-5
dc.identifier.urihttp://hdl.handle.net/10754/668493
dc.description.abstractAbstractResults are presented for real-time seismic imaging of subsurface fluid flow by parsimonious refraction and surface-wave interferometry. Each subsurface velocity image inverted from time-lapse seismic data only requires several minutes of recording time, which is less than the time-scale of the fluid-induced changes in the rock properties. In this sense this is real-time imaging. The images are P-velocity tomograms inverted from the first-arrival times and the S-velocity tomograms inverted from dispersion curves. Compared to conventional seismic imaging, parsimonious interferometry reduces the recording time and increases the temporal resolution of time-lapse seismic images by more than an order-of-magnitude. In our seismic experiment, we recorded 90 sparse data sets over 4.5 h while injecting 12-tons of water into a sand dune. Results show that the percolation of water is mostly along layered boundaries down to a depth of a few meters, which is consistent with our 3D computational fluid flow simulations and laboratory experiments. The significance of parsimonious interferometry is that it provides more than an order-of-magnitude increase of temporal resolution in time-lapse seismic imaging. We believe that real-time seismic imaging will have important applications for non-destructive characterization in environmental, biomedical, and subsurface imaging.
dc.description.sponsorshipWe thank the sponsors for supporting the Consortium of Subsurface Imaging and Fluid Modeling (CSIM). We also thank KAUST Communication and Publication Services for the generous support and the superb drafting of Figs. 1 and 7 from Xavier Pita xavier.pita@kaust.edu.sa. We also would like to thank KAUST-IT and Computer Modelling Group, Ltd. for providing the license for CMG simulators. The seismic experiment was performed and most of the P-velocity analysis was funded and completed at Kaust while Dr. Hanafy was a KAUST research scientist and Dr. Jing Li was a KAUST postdoc.
dc.publisherSpringer Nature
dc.relation.urlhttp://www.nature.com/articles/s41598-021-86531-5
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.titleNear-surface real-time seismic imaging using parsimonious interferometry
dc.typeArticle
dc.contributor.departmentAli I. Al-Naimi Petroleum Engineering Research Center (ANPERC)
dc.contributor.departmentCenter for Subsurface Imaging and Fluid Modeling
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentEnergy Resources and Petroleum Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalScientific Reports
dc.identifier.pmcidPMC8010075
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionDepartment of Geosciences, King Fahd University of Petroleum and Minerals, CPG, Dhahran 34464, Saudi Arabia.
dc.contributor.institutionCollege of Geo‑Exploration Science and Technology, Jilin University, Changchun, China.
dc.identifier.volume11
dc.identifier.issue1
kaust.personHoteit, Hussein
kaust.personSchuster, Gerard T.
dc.date.accepted2021-03-10
refterms.dateFOA2021-04-04T06:58:39Z


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This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder
Except where otherwise noted, this item's license is described as This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder