Articles | Volume 13, issue 2
https://doi.org/10.5194/se-13-449-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/se-13-449-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Mar 2022
Research article |
| 03 Mar 2022
| 03 Mar 2022
Distributed acoustic sensing as a tool for subsurface mapping and seismic event monitoring: a proof of concept
Nicola Piana Agostinetti
CORRESPONDING AUTHOR
DISAT, Universitá di Milano Bicocca, Piazza della Scienza 4, 20126 Milan, Italy
Department of Geology, University of Vienna, Vienna, Austria
Alberto Villa
DISAT, Universitá di Milano Bicocca, Piazza della Scienza 4, 20126 Milan, Italy
Gilberto Saccorotti
Instituto Nazionale di Geofisica e Vulcanologia, Via Cesare Battisti 53, 56125 Pisa, Italy
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Cited
18 citations as recorded by crossref.
- DASPy: A Python Toolbox for DAS Seismology M. Hu & Z. Li https://doi.org/10.1785/0220240124
- Near real-time channel selection for Distributed Acoustic Sensing technology E. Bozzi et al. https://doi.org/10.26443/seismica.v5i1.2251
- Automatic Time Picking for Weak Seismic Phase in the Strong Noise and Interference Environment: An Hybrid Method Based on Array Similarity H. Wu et al. https://doi.org/10.3390/s22249924
- Sensing Optical Fibers for Earthquake Source Characterization Using Raw DAS Records C. Strumia et al. https://doi.org/10.1029/2023JB027860
- Возможности и перспективы использования распределенных оптоволоконных датчиков в геофизике С. Никитин et al. https://doi.org/10.31857/S0032816223050191
- Theoretical background for full-waveform inversion with distributed acoustic sensing and integrated strain sensing S. Noe et al. https://doi.org/10.1093/gji/ggaf406
- Possibilities and Prospects for the Use of Distributed Fiber Sensors in Geophysics S. Nikitin et al. https://doi.org/10.1134/S0020441223050196
- Microseismicity Monitoring and Site Characterization With Distributed Acoustic Sensing (DAS): The Case of the Irpinia Fault System (Southern Italy) A. Trabattoni et al. https://doi.org/10.1029/2022JB024529
- Classification of images derived from submarine fibre optic sensing: detecting broadband seismic activity from hydroacoustic signals I. Matthaiou et al. https://doi.org/10.1093/gji/ggae400
- Distributed Optical Fiber Sensing Technology in Stability Monitoring of High–Steep Slopes on Roadways: A Review J. Zhao et al. https://doi.org/10.1109/JSEN.2026.3715730
- Modelling uncertainty in P-wave arrival-times retrieved from DAS data: case-studies from 15 fibre optic cables E. Bozzi et al. https://doi.org/10.1093/gji/ggae364
- Distributed acoustic sensing system integrable with AI agents L. Shao et al. https://doi.org/10.67704/oep.2025.250012
- Earthquake location based on Distributed Acoustic Sensing (DAS) as a seismic array K. Lentas et al. https://doi.org/10.1016/j.pepi.2023.107109
- Structural health monitoring of large bridges based on communication optical cable H. Zheng et al. https://doi.org/10.1360/CSB-2026-0510
- Monitoring seismicity triggered by geothermal site shutdown with a surface DAS array at Brady Hot Springs H. Lv et al. https://doi.org/10.1093/gji/ggad333
- Distributed acoustic sensing in subsurface applications – Review and potential integration with artificial intelligence for an intelligent CO2 storage monitoring system D. Otchere et al. https://doi.org/10.1016/j.geoen.2024.212818
- Improved phase retrieval method for system simplification or fading suppression in interferometer-based φOTDR systems X. Lu et al. https://doi.org/10.1364/OE.580984
- Automated Weighting Schemes for DAS Data in Geophysical Inversion: A Case Study on Event Location E. Bozzi et al. https://doi.org/10.26443/seismica.v4i2.1494
18 citations as recorded by crossref.
- DASPy: A Python Toolbox for DAS Seismology M. Hu & Z. Li https://doi.org/10.1785/0220240124
- Near real-time channel selection for Distributed Acoustic Sensing technology E. Bozzi et al. https://doi.org/10.26443/seismica.v5i1.2251
- Automatic Time Picking for Weak Seismic Phase in the Strong Noise and Interference Environment: An Hybrid Method Based on Array Similarity H. Wu et al. https://doi.org/10.3390/s22249924
- Sensing Optical Fibers for Earthquake Source Characterization Using Raw DAS Records C. Strumia et al. https://doi.org/10.1029/2023JB027860
- Возможности и перспективы использования распределенных оптоволоконных датчиков в геофизике С. Никитин et al. https://doi.org/10.31857/S0032816223050191
- Theoretical background for full-waveform inversion with distributed acoustic sensing and integrated strain sensing S. Noe et al. https://doi.org/10.1093/gji/ggaf406
- Possibilities and Prospects for the Use of Distributed Fiber Sensors in Geophysics S. Nikitin et al. https://doi.org/10.1134/S0020441223050196
- Microseismicity Monitoring and Site Characterization With Distributed Acoustic Sensing (DAS): The Case of the Irpinia Fault System (Southern Italy) A. Trabattoni et al. https://doi.org/10.1029/2022JB024529
- Classification of images derived from submarine fibre optic sensing: detecting broadband seismic activity from hydroacoustic signals I. Matthaiou et al. https://doi.org/10.1093/gji/ggae400
- Distributed Optical Fiber Sensing Technology in Stability Monitoring of High–Steep Slopes on Roadways: A Review J. Zhao et al. https://doi.org/10.1109/JSEN.2026.3715730
- Modelling uncertainty in P-wave arrival-times retrieved from DAS data: case-studies from 15 fibre optic cables E. Bozzi et al. https://doi.org/10.1093/gji/ggae364
- Distributed acoustic sensing system integrable with AI agents L. Shao et al. https://doi.org/10.67704/oep.2025.250012
- Earthquake location based on Distributed Acoustic Sensing (DAS) as a seismic array K. Lentas et al. https://doi.org/10.1016/j.pepi.2023.107109
- Structural health monitoring of large bridges based on communication optical cable H. Zheng et al. https://doi.org/10.1360/CSB-2026-0510
- Monitoring seismicity triggered by geothermal site shutdown with a surface DAS array at Brady Hot Springs H. Lv et al. https://doi.org/10.1093/gji/ggad333
- Distributed acoustic sensing in subsurface applications – Review and potential integration with artificial intelligence for an intelligent CO2 storage monitoring system D. Otchere et al. https://doi.org/10.1016/j.geoen.2024.212818
- Improved phase retrieval method for system simplification or fading suppression in interferometer-based φOTDR systems X. Lu et al. https://doi.org/10.1364/OE.580984
- Automated Weighting Schemes for DAS Data in Geophysical Inversion: A Case Study on Event Location E. Bozzi et al. https://doi.org/10.26443/seismica.v4i2.1494
Saved (final revised paper)
Latest update: 16 Oct 2026
Short summary
Sensing the Earth is a fundamental operation for the future where georesources, like geothermal energy and CO2 underground storage, will become important tools for addressing societal challenges. The development of networks of optical fibre cables gives the possibility of a sensing grid with an unprecedented spatial coverage. Here, we investigate the potential of using portions of a optical fibre cable as a standard seismometer for exploring the subsurface and monitoring georesources.
Sensing the Earth is a fundamental operation for the future where georesources, like geothermal...
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