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Forecasting induced seismicity in enhanced geothermal systems using machine learning: challenges and opportunities

; ; ; ; ; ;

In
Geophysical journal international 242(2), Seiten/Artikel-Nr.:ggaf155

ImpressumOxford : Oxford Univ. Press

Umfang1-13

ISSN1365-246X

Online
DOI: 10.1093/gji/ggaf155

DOI: 10.18154/RWTH-2025-05998
URL: https://publications.rwth-aachen.de/record/1014281/files/1014281.pdf

Einrichtungen

  1. Lehr- und Forschungsgebiet Angewandte Seismologie (533420)
  2. Fachgruppe Geowissenschaften (530000)


Thematische Einordnung (Klassifikation)
DDC: 550

OpenAccess:
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Dokumenttyp
Journal Article

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
WOS Core Collection: WOS:001514613700001

Interne Identnummern
RWTH-2025-05998
Datensatz-ID: 1014281

Beteiligte Länder
Germany

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Medline ; Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; DOAJ Seal ; Ebsco Academic Search ; Essential Science Indicators ; Fees ; IF < 5 ; JCR ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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Faculty of Georesources and Materials Engineering (Fac.5) > Division of Earth Sciences and Geography
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530000
 Record created 2025-07-07, last modified 2025-07-09
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