Received: 13 January 2025 Revised: 7 February 2025 Accepted: 17 February 2025 Published: 25 February 2025 Citation: Rashid, A.; Tackie-Otoo, B.N.; Abdul Latiff, A.H.; Otchere, D.A.; Jamaludin, S.N.F.; Asfha, D.T. Research Advances on Distributed Acoustic Sensing Technology for Seismology. Photonics 2025, 12, 196. https://doi.org/10.3390/ photonics12030196 Copyright: © 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/ licenses/by/4.0/). Review Research Advances on Distributed Acoustic Sensing Technology for Seismology Alidu Rashid 1, * , Bennet Nii Tackie-Otoo 2 , Abdul Halim Abdul Latiff 1 , Daniel Asante Otchere 3,4, * , Siti Nur Fathiyah Jamaludin 5 and Dejen Teklu Asfha 1 1 Centre for Subsurface Imaging, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak, Malaysia; abdulhalim.alatiff@utp.edu.my (A.H.A.L.); dejen_22010091@utp.edu.my (D.T.A.) 2 Department of Petroleum Engineering, College of Petroleum Engineering and Geosciences, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia 3 Institute for Computational & Data Sciences, The Pennsylvania State University, University Park, PA 16802, USA 4 Penn State Health Milton S. Hershey Medical Center, 500 University Dr, Hershey, PA 17033, USA 5 Southeast Asia Clastic & Carbonate Research Laboratory (SEACARL), Institute of Sustainable Energy (ISE), Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak, Malaysia * Correspondence: alidurashid22@gmail.com (A.R.); ascotjnr@yahoo.com (D.A.O.) Abstract: Distributed Acoustic Sensing (DAS) has emerged as a groundbreaking tech- nology in seismology, transforming fiber-optic cables into dense, cost-effective seismic monitoring arrays. DAS makes use of Rayleigh backscattering to detect and measure dynamic strain and vibrations over extended distances. It can operate using both pre- existing telecommunication networks and specially designed fibers. This review explores the principles of DAS, including Coherent Optical Time Domain Reflectometry (COTDR) and Phase-Sensitive OTDR (ϕ-OTDR), and discusses the role of optoelectronic interroga- tors in data acquisition. It examines recent advancements in fiber design, such as helically wound and engineered fibers, which improve DAS sensitivity, spatial resolution, and the signal-to-noise ratio (SNR). Additionally, innovations in deployment techniques include cemented borehole cables, flexible liners, and weighted surface coupling to further enhance mechanical coupling and data accuracy. This review also demonstrated the applications of DAS across earthquake detection, microseismic monitoring, reservoir characterization and monitoring, carbon storage sites, geothermal reservoirs, marine environments, and urban infrastructure surveillance. The study highlighted several challenges of DAS, including directional sensitivity limitations, vast data volumes, and calibration inconsistencies. It also addressed solutions to these problems, such as advances in signal processing, noise suppression techniques, and machine learning integration, which have improved real-time analysis and data interpretability, enabling DAS to compete with traditional seismic net- works. Additionally, modeling approaches such as full waveform inversion and forward simulations provide valuable insights into subsurface dynamics and fracture monitoring. This review highlights DAS’s potential to revolutionize seismic monitoring through its scalability, cost-efficiency, and adaptability to diverse applications while identifying future research directions to address its limitations and expand its capabilities. Keywords: Distributed Acoustic Sensing (DAS); seismology; fiber-optic sensing; earth- quake monitoring; signal processing; machine learning Photonics 2025, 12, 196 https://doi.org/10.3390/photonics12030196