Induced Seismicity Monitoring—Comparison of Surface Deployed DAS Arrays Versus Other Common Seismicity Monitoring Techniques

Summary The paper investigates various induced seismicity monitoring (ISM) technologies for a hypothetical carbon capture and storage (CCS) site in the Southern North Sea. The study compares five deployment scenarios: ocean bottom seismometers (OBS), downhole geophones, downhole distributed acoustic sensing (DAS), surface DAS (S-DAS), and a hybrid S-DAS plus downhole DAS network. Each network’s performance is evaluated based on detectability of microseismic events, spatial coverage, and uncertainty in event location. The results indicate that all networks can detect microseismic events above a magnitude (ML) −0.8 within at least 1.7 km of the injection wellbore. However, the sensitivity and spatial coverage vary significantly among them. Joint downhole and surface DAS network was found to have the best performance with surface DAS network a close second. However, the choice of technology should consider local conditions and operational constraints.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.3997/2214-4609.202573058
Primary Topic
Seismic Imaging and Inversion Techniques
Type
article
Field-Weighted Citation Impact
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article

Induced Seismicity Monitoring—Comparison of Surface Deployed DAS Arrays Versus Other Common Seismicity Monitoring Techniques

Manish Lal Khaitan, M. Branston, Konstantin Galybin
Seismic Imaging and Inversion Techniques
article

Induced Seismicity Monitoring—Comparison of Surface Deployed DAS Arrays Versus Other Common Seismicity Monitoring Techniques

Manish Lal Khaitan, M. Branston, Konstantin Galybin
article en

Abstract

Summary The paper investigates various induced seismicity monitoring (ISM) technologies for a hypothetical carbon capture and storage (CCS) site in the Southern North Sea. The study compares five deployment scenarios: ocean bottom seismometers (OBS), downhole geophones, downhole distributed acoustic sensing (DAS), surface DAS (S-DAS), and a hybrid S-DAS plus downhole DAS network. Each network’s performance is evaluated based on detectability of microseismic events, spatial coverage, and uncertainty in event location. The results indicate that all networks can detect microseismic events above a magnitude (ML) −0.8 within at least 1.7 km of the injection wellbore. However, the sensitivity and spatial coverage vary significantly among them. Joint downhole and surface DAS network was found to have the best performance with surface DAS network a close second. However, the choice of technology should consider local conditions and operational constraints.

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Seismic Imaging and Inversion Techniques
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