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Near-surface real-time seismic imaging using parsimonious interferometry

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 flui...

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Autores principales: Hanafy, Sherif M., Hoteit, Hussein, Li, Jing, Schuster, Gerard T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8010075/
https://www.ncbi.nlm.nih.gov/pubmed/33785824
http://dx.doi.org/10.1038/s41598-021-86531-5
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author Hanafy, Sherif M.
Hoteit, Hussein
Li, Jing
Schuster, Gerard T.
author_facet Hanafy, Sherif M.
Hoteit, Hussein
Li, Jing
Schuster, Gerard T.
author_sort Hanafy, Sherif M.
collection PubMed
description 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.
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spelling pubmed-80100752021-04-01 Near-surface real-time seismic imaging using parsimonious interferometry Hanafy, Sherif M. Hoteit, Hussein Li, Jing Schuster, Gerard T. Sci Rep Article 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. Nature Publishing Group UK 2021-03-30 /pmc/articles/PMC8010075/ /pubmed/33785824 http://dx.doi.org/10.1038/s41598-021-86531-5 Text en © The Author(s) 2021 Open Access 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. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Hanafy, Sherif M.
Hoteit, Hussein
Li, Jing
Schuster, Gerard T.
Near-surface real-time seismic imaging using parsimonious interferometry
title 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_short Near-surface real-time seismic imaging using parsimonious interferometry
title_sort near-surface real-time seismic imaging using parsimonious interferometry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8010075/
https://www.ncbi.nlm.nih.gov/pubmed/33785824
http://dx.doi.org/10.1038/s41598-021-86531-5
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