Near-surface real-time seismic imaging using parsimonious interferometry

Abstract Results 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...

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Autores principales:	Sherif M. Hanafy, Hussein Hoteit, Jing Li, Gerard T. Schuster
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/ffb393c2afac40e68ba99a6b536db8b3
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spelling	oai:doaj.org-article:ffb393c2afac40e68ba99a6b536db8b32021-12-02T18:18:06ZNear-surface real-time seismic imaging using parsimonious interferometry10.1038/s41598-021-86531-52045-2322https://doaj.org/article/ffb393c2afac40e68ba99a6b536db8b32021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-86531-5https://doaj.org/toc/2045-2322Abstract Results 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.Sherif M. HanafyHussein HoteitJing LiGerard T. SchusterNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sherif M. Hanafy Hussein Hoteit Jing Li Gerard T. Schuster Near-surface real-time seismic imaging using parsimonious interferometry
description	Abstract Results 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.
format	article
author	Sherif M. Hanafy Hussein Hoteit Jing Li Gerard T. Schuster
author_facet	Sherif M. Hanafy Hussein Hoteit Jing Li Gerard T. Schuster
author_sort	Sherif M. Hanafy
title	Near-surface real-time seismic imaging using parsimonious interferometry
title_short	Near-surface real-time seismic imaging using parsimonious interferometry
title_full	Near-surface real-time seismic imaging using parsimonious interferometry
title_fullStr	Near-surface real-time seismic imaging using parsimonious interferometry
title_full_unstemmed	Near-surface real-time seismic imaging using parsimonious interferometry
title_sort	near-surface real-time seismic imaging using parsimonious interferometry
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/ffb393c2afac40e68ba99a6b536db8b3
work_keys_str_mv	AT sherifmhanafy nearsurfacerealtimeseismicimagingusingparsimoniousinterferometry AT husseinhoteit nearsurfacerealtimeseismicimagingusingparsimoniousinterferometry AT jingli nearsurfacerealtimeseismicimagingusingparsimoniousinterferometry AT gerardtschuster nearsurfacerealtimeseismicimagingusingparsimoniousinterferometry
_version_	1718378312897658880

Near-surface real-time seismic imaging using parsimonious interferometry

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