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A Cost-Effective Distributed Acoustic Sensor for Engineering Geology
Boris G Gorshkov1,2, Alexey E Alekseev3, Denis E Simikin2,3
1Prokhorov General Physics Institute of the Russian Academy of Sciences, Vavilov Street 38, 119991 Moscow, Russia.
Sensors (Basel, Switzerland)
|December 11, 2022
Summary
A new distributed acoustic sensor (DAS) architecture uses a dual-pulse method for cost-effective engineering geology applications. This system effectively detects vibrations and seismic waves, improving sensor performance.
Area of Science:
- Geophysics
- Optical Engineering
- Sensor Technology
Background:
- Distributed acoustic sensing (DAS) and phase-sensitive optical time-domain reflectometry (Phase-OTDR) are crucial for monitoring geological environments.
- Existing systems often face limitations in cost-effectiveness, laser coherence requirements, and signal fading.
Purpose of the Study:
- To propose a simple, cost-effective DAS/Phase-OTDR architecture for engineering geology.
- To reduce the stringent coherence requirements of the laser source.
- To mitigate signal fading and ensure linear sensor response.
Main Methods:
- Utilized a dual-pulse acquisition principle employing an unbalanced Michelson interferometer (MI) to form dual probing pulses.
- Incorporated a 3x3 coupler within the MI to introduce phase shifts between sub-pulses.
- Generated 7 ns optical pulses via direct current modulation and employed averaging over 16 optical frequencies to combat fading.
Main Results:
- Demonstrated a functional DAS architecture using a laser with a relatively broad spectral linewidth (approx. 1 GHz).
- Successfully recorded a strong vibration impact on a buried cable.
- Effectively captured seismic waves within a borehole in the seabed.
Conclusions:
- The proposed unbalanced MI-based dual-pulse DAS architecture is simple, cost-effective, and reduces laser coherence demands.
- The system overcomes fading issues and ensures linearity, making it suitable for engineering geology.
- The successful field tests validate the system's capability for vibration and seismic wave detection.

