The Roles of Low-Noise Stations, Arrays and Ocean-Bottom Seismometers in Monitoring UK Offshore Seismicity associated with Subsurface Storage of Carbon Dioxide
Dominik Strutz, Andrew Curtis

TL;DR
This study evaluates how low-noise stations, arrays, and ocean-bottom seismometers improve offshore seismic monitoring for carbon storage, highlighting OBS deployment as the most effective method despite higher costs.
Contribution
It introduces a Bayesian framework to assess seismic network enhancements, incorporating noise, detectability, and velocity model uncertainties for offshore monitoring.
Findings
OBS stations significantly improve location accuracy.
Low-noise onshore stations mainly lower detection thresholds.
Optimized OBS networks enable effective offshore seismic monitoring.
Abstract
Effective seismic monitoring of subsurface carbon dioxide storage (SCS) sites is essential for managing risks posed by induced seismicity. This is particularly challenging in offshore environments, such as the Endurance license area in the North Sea, where the UK's permanent land-based seismometer network offers limited monitoring capability due to its distance from the expected locations of seismic events. A Bayesian experimental design framework is used to assess enhancements of the network with a low-noise onshore station located at around 1~km depth in Boulby mine, the onshore North York Moors Seismic Array, an optimally-located additional on-shore monitoring site, and ocean bottom seismometers (OBS). We quantify the expected information gain about seismic source locations and introduce a practical method to incorporate signal-to-noise dependent detectability and velocity model…
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Taxonomy
TopicsSeismic Waves and Analysis · Seismic Imaging and Inversion Techniques · CO2 Sequestration and Geologic Interactions
