Feasibility of source-free DAS logging for next-generation borehole imaging.

Sci Rep

Energy & Geoscience Institute, University of Utah, 423 Wakara Way, Salt Lake City, UT, 84108, USA.

Published: July 2022

AI Article Synopsis

  • Monitoring the geology around a borehole (a hole drilled into the ground) is important for energy and environmental projects, but traditional methods can't work in very hot places or for long-term checks.
  • A new method called source-free distributed-acoustic-sensing (DAS) uses natural sounds in the environment instead of needing extra equipment, making it easier to use in tough conditions.
  • This new DAS tool shows promise for better understanding underground rock properties and could be used more widely in high-temperature areas like geothermal energy sites if further tests are successful.

Article Abstract

Characterizing and monitoring geologic formations around a borehole are crucial for energy and environmental applications. However, conventional wireline sonic logging usually cannot be used in high-temperature environments nor is the tool feasible for long-term monitoring. We introduce and evaluate the feasibility of a source-free distributed-acoustic-sensing (DAS) logging method based on borehole DAS ambient noise. Our new logging method provides a next-generation borehole imaging tool. The tool is source free because it uses ever-present ambient noises as sources and does not need a borehole sonic source that cannot be easily re-inserted into a borehole after well completion for time-lapse monitoring. The receivers of our source-free DAS logging tool are fiber optic cables cemented behind casing, enabling logging in harsh, high-temperature environments, and eliminating the receiver repeatability issue of conventional wireline sonic logging for time-lapse monitoring. We analyze a borehole DAS ambient noise dataset to obtain root-mean-squares (RMS) amplitudes and use these amplitudes to infer subsurface elastic properties. We find that the ambient noise RMS amplitudes correlate well with anomalies in conventional logging data. The source-free DAS logging tool can advance our ability to characterize and monitor subsurface geologic formations in an efficient and cost-effective manner, particularly in high-temperature environments such as geothermal reservoirs. Further validation of the source-free DAS logging method using other borehole DAS ambient noise data would enable the new logging tool for wider applications.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279403PMC
http://dx.doi.org/10.1038/s41598-022-16027-3DOI Listing

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