Crustal permeability generated through microearthquakes is constrained by seismic moment.

Autor: Yu P; EMS Energy Institute, G3 Center and Department of Geosciences, Pennsylvania State University, University Park, USA. pmy5077@psu.edu.; EMS Energy Insititute, G3 Center and Department of Energy and Mineral Engineering, Pennsylvania State University, University Park, USA. pmy5077@psu.edu., Mali A; Department of Computer Science & Engineering, University of South Florida, Tampa, FL, USA., Velaga T; Department of Computer Science and Engineering, Pennsylvania State University, University Park, PA, USA., Bi A; Pennsylvania State University, University Park, PA, USA., Yu J; EMS Energy Insititute, G3 Center and Department of Energy and Mineral Engineering, Pennsylvania State University, University Park, USA., Marone C; EMS Energy Institute, G3 Center and Department of Geosciences, Pennsylvania State University, University Park, USA.; Dipartimento di Scienze della Terra, La Sapienza Università di Roma, Roma, Italy., Shokouhi P; Department of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA, USA., Elsworth D; EMS Energy Institute, G3 Center and Department of Geosciences, Pennsylvania State University, University Park, USA. elsworth@psu.edu.; EMS Energy Insititute, G3 Center and Department of Energy and Mineral Engineering, Pennsylvania State University, University Park, USA. elsworth@psu.edu.
Jazyk: angličtina
Zdroj: Nature communications [Nat Commun] 2024 Mar 06; Vol. 15 (1), pp. 2057. Date of Electronic Publication: 2024 Mar 06.
DOI: 10.1038/s41467-024-46238-3
Abstrakt: We link changes in crustal permeability to informative features of microearthquakes (MEQs) using two field hydraulic stimulation experiments where both MEQs and permeability evolution are recorded simultaneously. The Bidirectional Long Short-Term Memory (Bi-LSTM) model effectively predicts permeability evolution and ultimate permeability increase. Our findings confirm the form of key features linking the MEQs to permeability, offering mechanistically consistent interpretations of this association. Transfer learning correctly predicts permeability evolution of one experiment from a model trained on an alternate dataset and locale, which further reinforces the innate interdependency of permeability-to-seismicity. Models representing permeability evolution on reactivated fractures in both shear and tension suggest scaling relationships in which changes in permeability ( Δ k ) are linearly related to the seismic moment ( M ) of individual MEQs as Δ k ∝ M . This scaling relation rationalizes our observation of the permeability-to-seismicity linkage, contributes to its predictive robustness and accentuates its potential in characterizing crustal permeability evolution using MEQs.
(© 2024. The Author(s).)
Databáze: MEDLINE
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