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Feasibility of source-free DAS logging for next-generation borehole imaging
David Li1, Lianjie Huang2, Yingcai Zheng3
1Geophysics Group, Los Alamos National Laboratory, MS D452, Los Alamos, NM, 87545, USA. davidzli@lanl.gov.
Scientific Reports
|July 13, 2022
Summary
A new source-free distributed acoustic sensing (DAS) logging method uses ambient noise for borehole monitoring. This technique effectively characterizes subsurface formations, especially in high-temperature environments, offering a cost-effective alternative to conventional methods.
Area of Science:
- Geophysics
- Borehole geophysics
- Acoustic sensing
Background:
- Characterizing and monitoring geologic formations is vital for energy and environmental applications.
- Conventional wireline sonic logging faces limitations in high-temperature environments and long-term monitoring.
- Existing methods struggle with tool re-insertion and receiver repeatability for time-lapse monitoring.
Purpose of the Study:
- To introduce and evaluate a novel source-free distributed acoustic sensing (DAS) logging method.
- To assess the feasibility of using borehole DAS ambient noise for subsurface characterization.
- To develop a next-generation borehole imaging tool for harsh environments.
Main Methods:
- Utilized a source-free distributed acoustic sensing (DAS) logging approach.
- Analyzed borehole DAS ambient noise data to derive root-mean-squares (RMS) amplitudes.
- Employed fiber optic cables cemented behind casing as receivers for high-temperature logging.
Main Results:
- Ambient noise RMS amplitudes showed a strong correlation with anomalies in conventional logging data.
- The source-free DAS method enables logging in high-temperature environments.
- The technique overcomes receiver repeatability issues inherent in conventional wireline logging.
Conclusions:
- The source-free DAS logging method offers an efficient and cost-effective way to characterize and monitor subsurface geologic formations.
- This technology is particularly advantageous for high-temperature environments like geothermal reservoirs.
- Further validation is needed to expand the application scope of this innovative logging tool.

