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A Study on the Performance Modeling Method for a Deep-Sea Cobalt-Rich Crust Mining Vehicle
期刊论文
Minerals, 2022, 卷号: 12, 期号: 12, 页码: 1521
作者:
Chao Xie
;
Ming Chen
;
Lan Wang
;
Casey Agee
;
Shaoming Yao
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2022/12/08
cobalt-rich crust
mining vehicle
stability
specific energy
sea trials
Experimental study on displacement of CH4 by liquid CO2 in coal seam
期刊论文
Combustion Science and Technology, 2022
作者:
Fei, Jinbiao
;
Wang, Hu
;
Wen, Hu
;
Fan, Shixing
;
Li, Zhenbao
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/07/20
Coal
Coal deposits
Coal mines
Drainage
Efficiency
Gas permeability
Gases
Hole concentration
Liquids
Lithology
Stress relief
Temperature
Anti-permeability
Anti-permeability coal rock
CH 4
CH4 displacement by CO2
Coal rock
Coal seams
Experimental study
Gas drainage
Liquid CO2
Low permeability
Microseismic source location method based on a velocity model database and statistical analysis
期刊论文
ARABIAN JOURNAL OF GEOSCIENCES, 2021, 卷号: 14, 期号: 19, 页码: 16
作者:
Chen, Bing-Rui
;
Li, Tao
;
Zhu, Xin-Hao
;
Wei, Fan-Bo
;
Wang, Xu
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2021/10/27
Rock mechanics
Microseismic source location
Velocity model database
Statistical analysis
Illegal mining
Spatial and temporal microseismic evolution before rock burst in steeply dipping thick coal seams under alternating mining of adjacent coal seams
期刊论文
ARABIAN JOURNAL OF GEOSCIENCES, 2021, 卷号: 14, 期号: 20, 页码: 28
作者:
Wu, Zhenhua
;
Pan, Peng-Zhi
;
Konicek, Petr
;
Zhao, Shankun
;
Chen, Jianqiang
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2022/01/05
Rock burst
Steeply dipping thick coal seam
Adjacent coal seams
Microseismic
Precursor characteristics
Fast Fault Diagnosis System Based on Data Mining AR Algorithm
会议论文
Nanjing, China, 2021-10
作者:
Yu Yahan
;
Du Juan
;
Ren Guanghao
;
Tan Yao
;
Wang Jian
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2023/06/02
Enhanced coalbed permeability and methane recovery via hydraulic slotting combined with liquid CO2 injection
期刊论文
Process Safety and Environmental Protection, 2021, 卷号: 147, 页码: 234-244
作者:
Wei, Gaoming
;
Wen, Hu
;
Deng, Jun
;
Li, Zhenbao
;
Fan, Shixing
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2020/11/14
Carbon dioxide
Coal
Coal deposits
Disaster prevention
Efficiency
Extraction
Freezing
Gas permeability
Hydraulic structures
Liquid methane
Metal recovery
Petroleum deposits
Pore structure
Scanning electron microscopy
Slotting
Thawing
Average efficiencies
Coal permeabilities
Coalbed permeability
Laboratory conditions
Mercury intrusion porosimetry
Methane extraction
Simulated experiments
Unconventional gas
Mineralogical and morphological factors affecting the separation of copper and arsenic in flash copper smelting slag flotation beneficiation process
期刊论文
JOURNAL OF HAZARDOUS MATERIALS, 2021, 卷号: 401, 页码: 12
作者:
Zhou, Huihui
;
Liu, Guijian
;
Zhang, Liqun
;
Zhou, Chuncai
收藏
  |  
浏览/下载:93/0
  |  
提交时间:2021/05/08
Arsenic
Copper recovery
Copper slag
Occurrence mode
Chemical speciation
Research on intelligent risk early warning of open-pit blasting site based on deep learning
期刊论文
Energy Sources, Part A: Recovery, Utilization and Environmental Effects, 2021, 页码: 1-18
作者:
Liu XB(柳小波)
;
Yang, Hangyuan
;
Jing HD(荆洪迪)
;
Sun XY(孙效玉)
;
Yu JY(于健洋)
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2021/05/10
Blasting safety
open pit mine
risk early warning
deep learning
object detection
Research on emergency escape system of underground mine based on mixed reality technology
期刊论文
Arabian Journal of Geosciences, 2021, 卷号: 14, 期号: 8, 页码: 1-9
作者:
Jing HD(荆洪迪)
;
Zhang, Xin
;
Liu XB(柳小波)
;
Sun XY(孙效玉)
;
Ma, Xinbo
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2021/05/10
Underground mines
Mixed reality
Human-computer interaction
Emergency escape
Dynamic optimization
Polycyclic aromatic hydrocarbons in railway stations dust of the mega traffic hub city, central China: Human health risk and relationship with black carbon
期刊论文
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2020, 卷号: 205, 页码: 10
作者:
Liu, Shan
;
Zhan, Changlin
;
Zhang, Jiaquan
;
Liu, Hongxia
;
Xiao, Yulun
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2020/12/29
Polycyclic aromatic hydrocarbons
Railway station dust
Black carbon
Source apportionment
Correlation analysis
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