Joint Inversion of DAS and nodal seismic data: application to coal mine goaf

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Authors: Aiping He, Rui Min, Yu Zhang, Lishu Zhang
Cited by: 0

Abstract

With the increasing importance of mine safety, advanced geophysical techniques have become crucial in mine safety assessment and monitoring. This paper focuses on nodal seismic exploration and distributed acoustic sensing (DAS) technology, exploring their applications in data joint inversion for detecting goaf areas at the Halusu open-pit coal mine in Inner Mongolia. Node seismic exploration offers high resolution and flexible deployment, providing detailed information about the subsurface structure of the mine. The distributed acoustic sensing (DAS) technology, characterized by distributed monitoring and real-time capabilities, offers new means for mine safety monitoring. By combining node seismic exploration data and DAS monitoring data through joint inversion, more accurate geological models of the mine can be constructed. This not only helps in timely detection of potential geological hazards, such as fault activity and rock deformation, but also provides scientific basis and decision support for mine production safety. Additionally, this paper analyzes the key technologies and challenges involved in joint inversion and proposes corresponding solutions. In summary, the joint inversion of node seismic exploration and DAS technology provides an innovative and effective method for mine safety, with broad application prospects.

Fields of Study & Subjects

Seismic Imaging and Inversion Techniques Seismic Waves and Analysis Geotechnical and Geomechanical Engineering

Publication details

Journal / source
Distributed Optical Fiber Sensing Technology and Applications Conference (DOFS)
Pages
37–37
Publication date
5 February 2026