Ontology highlight
ABSTRACT:
SUBMITTER: Li Z
PROVIDER: S-EPMC10423224 | biostudies-literature | 2023 Aug
REPOSITORIES: biostudies-literature
Li Ziyan Z Eaton David W DW Davidsen Jörn J
Scientific reports 20230812 1
Short-term forecasting of estimated maximum magnitude ([Formula: see text]) is crucial to mitigate risks of induced seismicity during fluid stimulation. Most previous methods require real-time injection data, which are not always available. This study proposes two deep learning (DL) approaches, along with two data-partitioning methods, that rely solely on preceding patterns of seismicity. The first approach forecasts [Formula: see text] directly using DL; the second incorporates physical constra ...[more]