Induced Seismicity and Detailed Fracture Mapping as Tools for Evaluating HDR Reservoir Volume

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 microse...

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Main Authors: Elżbieta Węglińska, Andrzej Leśniak
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Energies
Subjects:
HDR
Online Access:https://www.mdpi.com/1996-1073/14/9/2593
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spelling doaj-673cb4745c4742099497837598ea32e82021-05-31T23:02:25ZengMDPI AGEnergies1996-10732021-05-01142593259310.3390/en14092593Induced Seismicity and Detailed Fracture Mapping as Tools for Evaluating HDR Reservoir VolumeElżbieta Węglińska0Andrzej Leśniak1Department of Geoinformatics and Applied Computer Science, Faculty of Geology, Geophysics and Environmental Protection, AGH University of Science and Technology, 30-059 Kraków, PolandDepartment of Geoinformatics and Applied Computer Science, Faculty of Geology, Geophysics and Environmental Protection, AGH University of Science and Technology, 30-059 Kraków, PolandThe 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.https://www.mdpi.com/1996-1073/14/9/2593HDRinduced microseismicitygeothermal reservoircollapsingclusteringdbscan
collection DOAJ
language English
format Article
sources DOAJ
author Elżbieta Węglińska
Andrzej Leśniak
spellingShingle Elżbieta Węglińska
Andrzej Leśniak
Induced Seismicity and Detailed Fracture Mapping as Tools for Evaluating HDR Reservoir Volume
Energies
HDR
induced microseismicity
geothermal reservoir
collapsing
clustering
dbscan
author_facet Elżbieta Węglińska
Andrzej Leśniak
author_sort Elżbieta Węglińska
title Induced Seismicity and Detailed Fracture Mapping as Tools for Evaluating HDR Reservoir Volume
title_short Induced Seismicity and Detailed Fracture Mapping as Tools for Evaluating HDR Reservoir Volume
title_full Induced Seismicity and Detailed Fracture Mapping as Tools for Evaluating HDR Reservoir Volume
title_fullStr Induced Seismicity and Detailed Fracture Mapping as Tools for Evaluating HDR Reservoir Volume
title_full_unstemmed Induced Seismicity and Detailed Fracture Mapping as Tools for Evaluating HDR Reservoir Volume
title_sort induced seismicity and detailed fracture mapping as tools for evaluating hdr reservoir volume
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2021-05-01
description 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.
topic HDR
induced microseismicity
geothermal reservoir
collapsing
clustering
dbscan
url https://www.mdpi.com/1996-1073/14/9/2593
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AT andrzejlesniak inducedseismicityanddetailedfracturemappingastoolsforevaluatinghdrreservoirvolume
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