Crustal permeability generated through microearthquakes is constrained by seismic moment

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 permeabil...

Full description

Saved in:
Bibliographic Details
Published in:Nature communications 2024-03, Vol.15 (1), p.2057-2057, Article 2057
Main Authors: Yu, Pengliang, Mali, Ankur, Velaga, Thejasvi, Bi, Alex, Yu, Jiayi, Marone, Chris, Shokouhi, Parisa, Elsworth, Derek
Format: Article
Language:English
Subjects:
704/2151/2809
704/2151/431
704/2151/508
Evolution
Fractures
Humanities and Social Sciences
Learning
Long short-term memory
multidisciplinary
Permeability
Scaling
Science
Science & Technology - Other Topics
Science (multidisciplinary)
Seismicity
Transfer learning
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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. Crustal permeability evolution predicted from observed MEQs using Bi-LSTM models. MEQ-to-permeability relations confirmed across multiple field data sets using transfer learning with scaling relationships confirmed using physics-based models.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-024-46238-3