Results 121 to 130 of about 4,746 (262)
This research proposes an interpretable hybrid stacking ensemble framework, optimized by the Sparrow Search Algorithm, to enhance hard rock pillar stability prediction. By integrating six machine learning models—k‐nearest neighbors, support vector machines, random forests, Gradient Boosting Decision Tree, eXtreme Gradient Boosting, and Light Gradient ...
Ning Wang +3 more
wiley +1 more source
Development of a Slow Earthquake Database
identifier:oai:t2r2.star.titech.ac.jp ...
openaire +1 more source
This paper presents temporal and adaptive‐frequency network with MixStyle (TAMNet), a deep time‐series modeling framework for accurate and robust multi‐well oil productivity forecasting. TAMNet integrates transformer and long short‐term memory architectures to capture both short‐ and long‐term temporal dependencies, enhanced by a temporal gate unit ...
Chunxi Yang +6 more
wiley +1 more source
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
The seismic swarm activity that began and expanded in four separate regions in the northern Noto Peninsula at the end of 2020 was followed by the M6.5 earthquake in May 2023, which cascaded into the M7.6 earthquake on New Year’s Day 2024.
Takao Kumazawa, Yosihiko Ogata
doaj +1 more source
This study proposes an eco‐friendly coal permeability enhancement technique by utilizing mine waste gangue as an abrasive in high‐pressure water jets. Integrating erosion experiments with smoothed particle hydrodynamics‐finite element method coupled simulations, the research study elucidates the flow field dynamics and a nonlinear solid–liquid ...
Qingxiang Wang +4 more
wiley +1 more source
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
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
This study presents an integrated workflow to evaluate secure and large‐scale CO2 storage in depleted oil reservoirs of the Cambay Basin, India. Industrial CO2 sources are systematically matched with mature oil fields using a quantitative source–sink framework to minimize transport distance and cost.
Bhaskarjyoti Khanikar
wiley +1 more source

