Results 51 to 60 of about 3,580,819 (240)

Thermal‐induced fracture evolution and acoustic signature of Beishan granite: Insights into tensile strength of barrier system for high‐level radioactive waste disposal

open access: yesDeep Underground Science and Engineering, EarlyView.
The tensile strength of granite, a proposed host for nuclear waste, degrades severely above 400°C. We link this to specific microcracking patterns captured by acoustic emission, establishing a scientific basis for assessing repository safety under thermal load.
Wei Zeng   +7 more
wiley   +1 more source

Response to Comments: Kansas Induced Seismicity Action Plan [2014]

open access: yes, 2014
Kansas Induced Seismicity State Task Force.Induced seismicity--Kansas.Earthquakes--Kansas."The Kansas Task Force on Induced Seismicity recently closed an open comment period in response to its draft State Action Plan (SAP).
Kansas Induced Seismicity State Task Force.
core   +1 more source

Self‐Similarity of Seismic Moment Release to Volume Change Scaling for Volcanoes: A Comparison With Injection‐Induced Seismicity

open access: yesGeophysical Research Letters, 2022
Estimates of intruded magma volume are critical for forecasting volcanic unrest. Geodetic modeling can provide such estimates but is of limited use in submarine and highly vegetated settings.
Tom Kettlety   +2 more
doaj   +1 more source

Fluid‐induced slip on a rate‐and‐state fault during co‐ and post‐injection: The interplay of fluid pressure diffusion and poroelastic stress

open access: yesDeep Underground Science and Engineering, EarlyView.
Fault slip can occur ahead of the injection pressure front due to poroelastic stress. Our model captures the interaction of pressure, stress, and friction, providing new insights into injection‐induced seismicity and post‐injection fault slip. Shut‐in operations can either mitigate or accelerate seismic events depending on fault conditions and ...
Qifeng Xie, Lei Wang, Qi Li
wiley   +1 more source

Probabilistic prediction of rate‐dependent rock strength using natural gradient boosting and Gaussian process regression

open access: yesDeep Underground Science and Engineering, EarlyView.
Probabilistic natural gradient boosting and Gaussian process regression models accurately predict rate‐dependent rock strength across lithologies. Static strength and strain rate dominate, while geometric factors have minimal influence, enabling interpretable and uncertainty‐aware predictions for dynamic geomechanical applications. Abstract The dynamic
Hadi Fathipour‐Azar
wiley   +1 more source

Induced seismicity and ground subsidence in developed geothermal fields : relevance to geothermal development in Hawaii [PDF]

open access: yes, 1993
Contents: Causes of Induced Seismicity and Ground Subsidence, Mechanisms of Induced Seismicity in Geothermal Fields, Geothermal Field Characteristics and Case Histories of Induced Seismicity, Case Histories of Induced Subsidence in Geothermal Fields ...

core   +3 more sources

Investigation on the failure evolution characteristics of surrounding rock in deep cross‐fault roadway: Based on physical model test and numerical simulation

open access: yesDeep Underground Science and Engineering, EarlyView.
This study reveals the failure evolution characteristics of deep cross‐fault roadway surrounding rock under excavation support and periodic weighting. Periodic weighting readily induces fault activation, with the spatial distribution of failed rock masses being controlled by the fault strike and dip.
Tiezhu Li   +4 more
wiley   +1 more source

Combination of CO 2 ${\text{CO}}_{2}$ storage and geothermal energy production in porous and fractured superhot geothermal systems

open access: yesDeep Underground Science and Engineering, EarlyView.
The graphical abstract depicts the workflow for porous‐ and fractured‐media simulations, where stochastically generated discrete natural fractures are required for the fracture‐media simulation. Abstract CO 2 ${\text{CO}}_{2}$ leakage is one of the main risks and barriers to geologic carbon storage. However, under the high‐temperature and high‐pressure
Christoph Scherounigg   +3 more
wiley   +1 more source

Multi‐factor coupling effects in hydraulic fracturing of laminated shale: Experimental insights and physics‐informed neural network‐driven optimization

open access: yesDeep Underground Science and Engineering, EarlyView.
This study establishes a multi‐factor coupling framework for predicting breakdown pressure in laminated shale by integrating experimental hydraulic fracturing tests, physics‐informed neural networks (PINNs), and Sobol sensitivity analysis. It reveals how differential stress, the bedding dip angle, and the injection rate interact to influence fracture ...
Tao Wang   +6 more
wiley   +1 more source

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