Seismic Node Arrays for Enhanced Understanding and Monitoring of Geothermal Systems
dc.contributor.author | Hudson, TS | |
dc.contributor.author | Kettlety, T | |
dc.contributor.author | Kendall, J-M | |
dc.contributor.author | O’Toole, T | |
dc.contributor.author | Jupe, A | |
dc.contributor.author | Shail, RK | |
dc.contributor.author | Grand, A | |
dc.date.accessioned | 2024-07-23T10:40:43Z | |
dc.date.issued | 2024-07-22 | |
dc.date.updated | 2024-07-23T08:44:49Z | |
dc.description.abstract | Harnessing geothermal energy will likely play a critical role in reducing global CO2 emissions. However, exploration, development, and monitoring of geothermal systems remain challenging. Here, we explore how recent low-cost seismic node instrumentation advances might enhance geothermal exploration and monitoring. We show the results from 450 nodes deployed at a geothermal prospect in Cornwall, United Kingdom. First, we demonstrate how the nodes can be used to monitor the spatiotemporal and size distribution of induced seismicity. Second, we use focal mechanisms, shear-wave source polarities, and anisotropy to indicate how the dense passive seismic observations might provide enhanced insight into the stress state of the geothermal systems. All the methods are fully automated, essential for processing the data from many receivers. In our example case study, we find that the injection-site fracture orientations significantly differ from that of the crust above and the regional stress state. These observations agree well with fracture orientations inferred from independent well-log data, exemplifying how the nodes can provide new insight for understanding the geothermal systems. Finally, we discuss the limitations of nodes and the role they might play in hybrid seismic monitoring going forward. Overall, our results emphasize the important role that low-cost, easy-to-deploy dense nodal arrays can play in geothermal exploration and operation. | en_GB |
dc.description.sponsorship | Natural Environment Research Council (NERC) | en_GB |
dc.description.sponsorship | Leverhulme Trust | en_GB |
dc.description.sponsorship | Oxford Net Zero | en_GB |
dc.description.sponsorship | Linacre College | en_GB |
dc.description.sponsorship | European Regional Development Fund | en_GB |
dc.format.extent | 161-171 | |
dc.identifier.citation | Vol. 4 (3), pp. 161-171 | en_GB |
dc.identifier.doi | https://doi.org/10.1785/0320240019 | |
dc.identifier.grantnumber | NE/R018006/1 | en_GB |
dc.identifier.grantnumber | ECF-2022-499 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/136837 | |
dc.identifier | ORCID: 0000-0001-7200-5124 (Shail, Robin K) | |
dc.language.iso | en | en_GB |
dc.publisher | Seismological Society of America (SSA) | en_GB |
dc.relation.url | https://zenodo.org/records/10677930 | en_GB |
dc.rights | © 2024 The Author(s). Published by Seismological Society of America. The Seismic Record. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | en_GB |
dc.title | Seismic Node Arrays for Enhanced Understanding and Monitoring of Geothermal Systems | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2024-07-23T10:40:43Z | |
dc.identifier.issn | 2694-4006 | |
dc.description | This is the final version. Available on open access from the Seismological Society of America via the DOI in this record. | en_GB |
dc.description | Data and Resources. Continuous seismograms and well logs analyzed in this study are proprietary, with conventional seismometer and well‐log data provided by Eden Geothermal Ltd. However, analyzed data used to plot the results presented here are archived in a permanent Zenodo repository (doi: 10.5281/zenodo.10677930). The supplemental material is included to provide additional notes on the deployment, data processing parameters, instrument performance and additional results in more detail. This information is included to help aid reproducibility and inform readers on the limitations of the analysis. | en_GB |
dc.identifier.journal | The Seismic Record | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2024-07-22 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2024-07-23T10:22:43Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2024-07-23T10:40:50Z | |
refterms.panel | B | en_GB |
refterms.dateFirstOnline | 2024-07-22 |
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Except where otherwise noted, this item's licence is described as © 2024 The Author(s). Published by Seismological Society of America.
The Seismic Record. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.