Results 221 to 230 of about 112,107 (278)

Research on Deformation Prediction of Small Interval Tunnel Based on Machine Learning and Numerical Simulation

Energy Science &Engineering, EarlyView.
This study leverages machine learning algorithms—specifically artificial neural networks (ANN) and genetic programming (GP)—to forecast and analyze variations in vault settlement measurements during excavation of small interval tunnel. A settlement prediction model was developed and validated through comparative analysis with regression to evaluate the
Wenjie Zhai, Jia Xue, Yongjie Fu, Beichen Yu, Yan Zhu, Man Yuan, Mingbo Chi, Zhentao Li   +7 more
wiley   +1 more source

Stress Redistribution Mechanisms and Subsidence Control of Fluidized Gangue Backfilling in Underground Coal Mining: Integrated Experimental and Numerical Investigation

Energy Science &Engineering, EarlyView.
Fluidized gangue backfilling controls mining subsidence through stress redistribution in composite backfill‐pillar systems, reducing surface settlement and stress concentrations. Multi‐scale experimental and numerical analysis provides quantitative design parameters for optimizing ground control in sustainable underground coal mining operations ...
Weilong Zhang, Jie Zhang, Yuanzhen Zhang, Wenjing Liu, Liang Li, Deyi Nan, Guannan Zhao, Chen Yang, Haiqing Bian, Hua Shao, Xiao Zuo, Changtai Zhou   +11 more
wiley   +1 more source

Investigating the source of acoustic anisotropy in the Asmari Formation, a fractured carbonate reservoir, using a well in the Southwest Iran. [PDF]

Sci Rep
Yarmohammadi S, Javaherian A, Sharifi M, Saberi MR, Mahdavi Basir H.   +4 more
europepmc   +1 more source

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

Energy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan, Haijiao Fu, Detian Yan, Gang Wang, Shuguang Yang, Mengmeng Liu, Qingling Jiang, Xiaoming Wang, Wei Wang   +8 more
wiley   +1 more source

Stratigraphic and structural architecture of the inner ramp carbonates in the Northern Galala Plateau, Egypt: synergizing remote sensing and field data. [PDF]

Sci Rep
Fathy MS, Abd El-Wahed MA, Faris M, Ali AS, Attia M.   +4 more
europepmc   +1 more source

Experimental Investigation of Sensitivity for Coal and Gas Outburst Risk Prediction Indexes in Raw and Tectonic Composite Coal Seams

Energy Science &Engineering, EarlyView.
A comparative study was conducted on gas desorption laws of raw and tectonic coals. The sensitivity of regional and local outburst prediction indexes was compared. Gas content is more sensitive than gas pressure for composite coal seams. K1 can more accurately predict the outburst danger than Δh2 $\Delta {h}_{2}$ in composite coal seams.
Haijun Guo, Xi Xi, Kai Wang, Liang Wang, Yulin Li   +4 more
wiley   +1 more source

3D geologic modeling for digital twin applications: insights from the Bedretto Underground Laboratory

Ceccato A, Hinshaw E, Behr WM, Zappone AS, Giardini D.   +4 more
europepmc   +1 more source

Specification-compliant fracture parameter extraction and rock mass classification on tunnel faces with improved YOLOv8-seg. [PDF]

Sci Rep
Wang Z, Zhou L, Fu D, Zhang Z, Zhang S, Zhang M.   +5 more
europepmc   +1 more source

Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors

Energy Science &Engineering, EarlyView.
Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen, Linming Dou, Atao Li, Wu Cai, Lei Zhang   +4 more
wiley   +1 more source

Modeling subsurface instabilities for urban infrastructure resilience via novel joint microgravity and geotechnical methods. [PDF]

Sci Rep
Bery AA, Gnapragasan J, Akingboye AS.
europepmc   +1 more source