Developing DAS Technology for CCS Monitoring and Subsurface Properties Assessment using Underground and Submarine Dark-fiber
Summary The long-term monitoring of Carbon Capture and Storage (CCS) sites requires scalable, high-resolution sensing to ensure CO2 stability and detect leakage. Distributed Acoustic Sensing (DAS) with underground and submarine dark-fiber networks offers a cost-effective solution for seismic and environmental monitoring. Field experiments across South Korea validated DAS for CCS applications. In Pyeongtaek, a 35 km dark-fiber segment detected seismic signals, confirming strong performance in the mid-frequency range (≥3 Hz). Controlled-source tests further demonstrated its ability to capture high-frequency seismic signals (≤150 Hz). In Daejeon, back-tracking methods reconstructed fiber paths, enhancing geospatial referencing for CCS monitoring. Additionally, DAS applications extended to traffic monitoring in Gyeongju and tunnel detection in Paju, highlighting its broader potential. DAS-equipped dark-fiber networks provide a scalable and cost-effective alternative for CCS and geophysical monitoring. Future research will enhance real-time data processing and expand applications to submarine and underutilized optical fiber networks
Authors
- Hobin Lim (ORCID: https://orcid.org/0000-0001-7510-4507)
- Chon‐Lin Lee (ORCID: https://orcid.org/0000-0003-0521-1440)
- Kun Yang (ORCID: https://orcid.org/0000-0002-9057-7107)
- Sang‐Jin Choi (ORCID: https://orcid.org/0000-0003-0288-7517)
- Byoungjoon Yoon
- Kunhang Yun (ORCID: https://orcid.org/0000-0002-0192-4649)
- Y. Cho
- Minkyung Son (ORCID: https://orcid.org/0000-0003-4862-8510)
- Yun Jeong Seong
- K.G. Park
Institutions
- Seoul National University (KR)
- Korea Electric Power Corporation (South Korea) (KR)
- Korea Institute of Geoscience and Mineral Resources (KR)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.3997/2214-4609.202573056
- Citations
- 1
- Primary Topic
- Advanced Fiber Optic Sensors
- Type
- article
- Field-Weighted Citation Impact
- 0.73