Results 191 to 200 of about 99,446 (314)

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

LA-ICP-MS Zircon U-Pb Ages, geochemical characteristics, and geological significance of the early cretaceous volcanic rocks in Haitangwan Town, Southern Hainan Island, China. [PDF]

PLoS One
Lin Y, Liang D, Yuan Q, Hu Z, Lv Z, Lv C.   +5 more
europepmc   +1 more source

DFT Insight Into Physical Properties of Halide Ions Replacements in Oxo‐Selenate Halide Compounds for Photovoltaic Application

Energy Science &Engineering, EarlyView.
Using density functional theory (CASTEP, GGA–PBE), the structural, electronic, optical, and mechanical properties of YSeO₃X (X = F, Cl, Br, and I) compounds are systematically investigated. The materials have exhibited structural stability, tunable band gaps, strong optical absorption, anisotropic ductile behavior, and promising potential for ...
Nawishta Jabeen, Ahmad Hussain, Ali Yaqoob, Omer Musa, Aseel Smerat, Joy Djuansjah   +5 more
wiley   +1 more source

Contemporaneous mobile- and stagnant-lid tectonics on the Hadean Earth. [PDF]

Nature
Valley JW, Blum TB, Kitajima K, Shimizu K, Spicuzza MJ, Gonzalez JP, Kita NT, Bauer AM, Sobolev SV, Jain C, Cavosie AJ, Sobolev AV.   +11 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

Petrogenesis and tectonic significance of the Baipu granite porphyry in the Huangtian uranium deposit, northeastern Guangdong, South China. [PDF]

PLoS One
Ruan K, Wu J, Long Z, Min Z.
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

Updated seismotectonic framework of Abu Dabbab Egypt based on focal mechanisms and stress inversion. [PDF]

Sci Rep
Abdelazim M, Youssef SE, Gaber H, Mohamed GA, Soliman MS, Yassien MH, Hamada M, Elkhouly SH.   +7 more
europepmc   +1 more source

The World Heat Flow Data Collection - 1975 [PDF]

, 2012
et al, ..., Jessop, A M
core  

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