Results 81 to 90 of about 267 (157)
The Dananhu Coalfield in the southeastern part of the Turpan-Hami Basin contains abundant coal resources, but the coals in this area have multiple layers and vary greatly in thickness, resulting in increased difficulty in coal exploration.
Kaihua LIANG +7 more
doaj +1 more source
Thermal Evolution, Hydrocarbon Generation, and Heat Accumulation of a High Geothermal Coalfield: A Case Study of Pingdingshan Coalfield, China. [PDF]
Yu K +7 more
europepmc +1 more source
Pre-Jurassic Thrust Movement in Danyang Area, Danyang Coalfield, Korea
Jeong-Hwan Kim +2 more
openaire +1 more source
To systematically investigate the combined effects of moisture content, confining pressure, and loading rate on the mechanical properties of weakly cemented soft rock, this study focuses on the Jurassic coal measures from the Hoxtolgay coalfield in ...
Peichang Cheng +3 more
doaj +1 more source
Fusulinids from the Limestone Gravels of the Jurassic Sapyeongri Formation, Danyang Coalfield, Korea
Chang Hi Cheong, Soo In Park
openaire +1 more source
BackgroundVertical shafts are typically employed in the deep mining areas of Jurassic coalfields in western China. However, the direct exposure of extremely thick Cretaceous aquifers frequently leads to significant water inflow in shafts.
Chunhu ZHAO +10 more
doaj +1 more source
Chromium in Chinese coals: geochemistry and environmental impacts associated with coal-fired power plants. [PDF]
Tang Q +8 more
europepmc +1 more source
Coalbed Methane Enrichment Characteristics and Exploration Target Selection in the Zhuozishan Coalfield of the Western Ordos Basin, China. [PDF]
Sun B +9 more
europepmc +1 more source
Due to the relatively late coal-forming period in the Jurassic coalfields in western China, the rock characteristics often exhibit poor cementation, low strength, and easy softening and collapse in contact with water, which leads to the occurrence of water and sand outburst events in weakly cemented rock layers during mining. Therefore, identifying the
Jiangwei FAN +6 more
openaire +1 more source
Development of Empirical and Artificial Neural Network Model for the Prediction of Sorption Time to Assess the Potential of CO2 Sequestration in Coal. [PDF]
Ahuja M +4 more
europepmc +1 more source

