Monitoring Preferential Flow of Water in Sand Using Thermoacoustics Wave Imaging
Name
Geophysical Research Letters - 2023 - Liu - Monitoring Preferential Flow of Water in Sand Using Thermoacoustics Wave.pdf
Description
Published version
Size
1.28 MB
Format
Adobe PDF
Checksum (MD5)
689b899d888fb66c161867df27690ca5
Author(s)
Liu, Chang
Mao, Xu
Wang, Chang
Liyanage, Rebecca
Heredia Juesas, Juan
Juanes, Ruben
Martinez‐Lorenzo, Jose Angle
Date Issued
October 31, 2023
Journal
Geophysical Research Letters
Publisher
American Geophysical Union
Citation
Liu, Chang, Mao, Xu, Wang, Chang, Liyanage, Rebecca, Heredia Juesas, Juan et al. 2023. "Monitoring Preferential Flow of Water in Sand Using Thermoacoustics Wave Imaging." Geophysical Research Letters, 50 (21).
Version
Final published version
Abstract
Accurate predictions of fluid flow, mass transport, and reaction rates critically impact the efficiency and reliability of subsurface exploration and sustainable use of subsurface resources. Quantitative dynamical sensing and imaging can play a pivotal role in the ability to make such predictions. Geophysical thermoacoustic technology has the potential to provide the aforementioned capabilities, since it builds upon the principle that electromagnetic and mechanical wave fields can be coupled through a thermodynamic process. In this letter, we present laboratory experiments featuring the efficacy of thermoacoustic imaging in the monitoring of preferential flow of water in porous media. Our laboratory experimental equipment can be readily packaged in a form factor that fits in a borehole, and the use of multiple acoustic transducers—which can be combined with volumetric coding techniques—has the potential to provide quasi‐real‐time imaging (0.5 Hz video rate) of regions in close proximity (a few meters) of an open field well.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivatives
Persistent DSpace Link
DOI of Published Version
10.1029/2023gl105248
