Results 101 to 110 of about 181,923 (295)

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue Zhang   +4 more
wiley   +1 more source

Simulation test research and application of blasting and penetration improvement in the soft coal seam floor

Meitan kexue jishu
Aimed at the problems of difficult drilling construction of blast penetration, undeveloped fractures produced by blast penetration, and the fractures is easy to recompact in the soft coal seam, the blasting operations carried out in the floor was ...
Kui GAO, Mi WANG, Guodong QIAO, Yu TIAN, Shigui FU, Youwei WANG   +5 more
doaj   +1 more source

KINETIC FEATURES OF THE DISSOCIATION PROCESS OF GAS HYDRATE DEPOSITS [PDF]

, 2019
The research is aimed at revealing the theoretical features of the kinetics of the process of dissociation of natural gas hydrates, the accounting of which is useful in designing technologies for their development.
Petlovanyi, M, Prokopenko, K, Sai, K
core  

Carbon emission assessment of tunnel infrastructures: From construction to operation

Deep Underground Science and Engineering, EarlyView.
This study develops a lifecycle carbon accounting framework for tunnel infrastructures, covering design, construction, operation, maintenance, and dismantling. Applied to a subsea tunnel case, the framework reveals the carbon emission distribution among four typical tunnel types and highlights potential carbon offset methods for low‐carbon tunnel ...
Luyuan Long, Wout Broere, Xuehui Zhang, Tian Xia, Richard de Nijs   +4 more
wiley   +1 more source

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

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

Study on Deformation Law of Crossing Layer Drilling Superimposed Floor Roadway

Energy Science &Engineering, EarlyView.
Based on deformation law of crossing layer drilling superimposed floor roadway, low dip angle drilling is particularly susceptible to complications such as borehole blockage and collapse. ABSTRACT Floor extraction roadway crossing layer drilling is a pivotal strategy for gas control in areas prone to coal and gas outbursts.
Xiao Liu, Bo Li, Jiawei Xie, Xiaoming Ni, Shaoren Wei, Chengtao Yang, Yubo Zhang, Haixiao Lin, Wei Zhao, Tao Wang   +9 more
wiley   +1 more source

Peculiarities of geological and thermobaric conditions for the gas hydrate deposits occurence in the Black Sea and the prospects for their development [PDF]

, 2019
The actuality has been revealed of the necessity to attract the gas hydrate deposits of the Black Sea into industrial development as an alternative to traditional gas fields.
Bondarenko, V., Petlovanyi, M., Sai, K.
core  

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

Coal–rock damage characteristics caused by blasting within a reverse fault and its resultant effects on coal and gas outburst [PDF]

, 2021
Kui Gao, Ping Huang, Zegong Liu, Jian Liu, Chi‐Min Shu, Guodong Qiao   +5 more
openalex   +1 more source