Application and Development of Distributed Acoustic Sensing (DAS) Technology

Dear Colleagues,

Distributed Acoustic Sensing (DAS) technology leverages optical fibers to transform them into high-resolution, continuous arrays of vibration sensors. This innovative approach enables real-time monitoring of dynamic processes across vast distances with unprecedented spatial and temporal resolution. DAS has rapidly expanded beyond its origins in oil and gas reservoir monitoring to permeate diverse fields, including seismology, infrastructure health assessment, environmental monitoring, and security, due to its versatility and cost-effectiveness.

This Special Issue invites contributions on data processing techniques, machine learning integration, hardware development, and challenges in deployment and interpretation exploring the latest advancements, and interdisciplinary applications of DAS. Topics of interest include, but are not limited to:

• Geophysical Applications: Earthquake detection, subsurface imaging, and CO₂ storage monitoring.
• Civil Infrastructure: Pipeline integrity, structural health monitoring of bridges and tunnels, and smart city traffic/utility monitoring.
• Energy Sector: Reservoir characterization, hydraulic fracturing optimization, and geothermal energy monitoring.
• Defense and Security: Border surveillance, intrusion detection, and critical infrastructure protection.
• Environmental Science: Glaciology, oceanography, and permafrost thaw tracking.
• AI Integration: Machine learning for noise reduction, event classification, and predictive analytics in DAS data.
• Emerging Frontiers: Biomedical sensing, aerospace structural testing, and mining safety.

We welcome original research, reviews, and case studies that highlight the transformative potential of DAS across disciplines that push the boundaries of this transformative technology.

Prof. Dr. Zhipeng Wu
Dr. Daniel Asante Otchere
Guest Editors

Manuscript Submission Information

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