LAPSE:2023.32052
Published Article

LAPSE:2023.32052
Induced Seismicity and Detailed Fracture Mapping as Tools for Evaluating HDR Reservoir Volume
April 19, 2023
Abstract
The main goal of this paper was to estimate the heat exchange rock mass volume of a hot dry rock (HDR) geothermal reservoir based on microseismicity location. There are two types of recorded microseismicity: induced by flowing fluid (wet microseismicity) and induced by stress mechanisms (dry microseismicity). In this paper, an attempt was made to extract events associated with the injected fluid flow. The authors rejected dry microseismic events with no hydraulic connection with the stimulated fracture network so as to avoid overestimating the reservoir volume. The proposed algorithm, which includes the collapsing method, automatic cluster detection, and spatiotemporal cluster evolution from the injection well, was applied to the microseismic dataset recorded during stimulation of the Soultz-sous-Forets HDR field in September 1993. The stimulated reservoir volume obtained from wet seismicity using convex hulls is approximately five times smaller than the volume obtained from the primary cloud of located events.
The main goal of this paper was to estimate the heat exchange rock mass volume of a hot dry rock (HDR) geothermal reservoir based on microseismicity location. There are two types of recorded microseismicity: induced by flowing fluid (wet microseismicity) and induced by stress mechanisms (dry microseismicity). In this paper, an attempt was made to extract events associated with the injected fluid flow. The authors rejected dry microseismic events with no hydraulic connection with the stimulated fracture network so as to avoid overestimating the reservoir volume. The proposed algorithm, which includes the collapsing method, automatic cluster detection, and spatiotemporal cluster evolution from the injection well, was applied to the microseismic dataset recorded during stimulation of the Soultz-sous-Forets HDR field in September 1993. The stimulated reservoir volume obtained from wet seismicity using convex hulls is approximately five times smaller than the volume obtained from the primary cloud of located events.
Record ID
Keywords
clustering, collapsing, dbscan, geothermal reservoir, HDR, induced microseismicity, SRV
Subject
Suggested Citation
Węglińska E, Leśniak A. Induced Seismicity and Detailed Fracture Mapping as Tools for Evaluating HDR Reservoir Volume. (2023). LAPSE:2023.32052
Author Affiliations
Węglińska E: Department of Geoinformatics and Applied Computer Science, Faculty of Geology, Geophysics and Environmental Protection, AGH University of Science and Technology, 30-059 Kraków, Poland [ORCID]
Leśniak A: Department of Geoinformatics and Applied Computer Science, Faculty of Geology, Geophysics and Environmental Protection, AGH University of Science and Technology, 30-059 Kraków, Poland [ORCID]
Leśniak A: Department of Geoinformatics and Applied Computer Science, Faculty of Geology, Geophysics and Environmental Protection, AGH University of Science and Technology, 30-059 Kraków, Poland [ORCID]
Journal Name
Energies
Volume
14
Issue
9
First Page
2593
Year
2021
Publication Date
2021-05-01
ISSN
1996-1073
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Original Submission
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PII: en14092593, Publication Type: Journal Article
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LAPSE:2023.32052
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https://doi.org/10.3390/en14092593
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Apr 19, 2023
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