Near-surface real-time seismic imaging using parsimonious interferometry

Sherif M. Hanafy, Hussein Hoteit, Jing Li, Gerard T. Schuster

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


AbstractResults 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.
Original languageEnglish (US)
JournalScientific Reports
Issue number1
StatePublished - Mar 30 2021

Bibliographical note

KAUST Repository Item: Exported on 2021-04-05
Acknowledgements: We 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 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.

ASJC Scopus subject areas

  • General


Dive into the research topics of 'Near-surface real-time seismic imaging using parsimonious interferometry'. Together they form a unique fingerprint.

Cite this