2021
DOI: 10.3389/feart.2021.635193
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Induced Seismicity Completeness Analysis for Improved Data Mining

Abstract: The study of induced seismicity at sites of fluid injection is paramount to assess the seismic response of the earth’s crust and to mitigate the potential seismic risk. However statistical analysis is limited to events above the completeness magnitude mc, which estimation may significantly vary depending on the employed method. To avoid potential biases and optimize the data exploitable for analysis, a better understanding of completeness, detection capacity and censored data characteristics is needed. We appl… Show more

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Cited by 6 publications
(5 citation statements)
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“…Our survey consisted in finding all underground stimulation experiments related to geothermal energy harnessing. We first used the lists of projects provided in existing reviews [22][23][24][25][26] and then complemented our research with an additional Google Scholar search for "injection induced seismicity geothermal". We obtained a comprehensive list of 53 fluid injections worldwide, which are described in Table A1, including matching references and relevant quotes from a total of 44 articles and reports.…”
Section: Literature Miningmentioning
confidence: 99%
See 4 more Smart Citations
“…Our survey consisted in finding all underground stimulation experiments related to geothermal energy harnessing. We first used the lists of projects provided in existing reviews [22][23][24][25][26] and then complemented our research with an additional Google Scholar search for "injection induced seismicity geothermal". We obtained a comprehensive list of 53 fluid injections worldwide, which are described in Table A1, including matching references and relevant quotes from a total of 44 articles and reports.…”
Section: Literature Miningmentioning
confidence: 99%
“…To investigate the m 0 ambiguity, we consider the magnitude-frequency distribution defined by Mignan [29], shown to also be valid for induced seismicity [26]:…”
Section: Meta-analysismentioning
confidence: 99%
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