Results 1 to 10 of about 10,179,498 (326)
Geological Controls on the Gas Content and Permeability of Coal Reservoirs in the Daning Block, Southern Qinshui Basin. [PDF]
The gas content and permeability of the coal reservoir are the key factors affecting coalbed methane (CBM) productivity. To investigate the geological controls on the permeability and gas content of coal reservoirs in the Daning block, southern Qinshui ...
Guo Z, Cao Y, Zhang Z, Dong S.
europepmc +2 more sources
Investigation into the variation characteristics and influencing factors of coalbed methane gas content in deep coal seams. [PDF]
Gas saturation is a critical parameter for the selection and development of coalbed methane, as well as a key indicator reflecting the challenges in coalbed methane development and productivity evaluation of coalbed methane wells.
Zhu Q, Du X, Zhang T, Yu H, Liu X.
europepmc +2 more sources
Influencing factors and quantitative prediction of gas content of deep marine shale in Luzhou block. [PDF]
The exploration and development of deep marine shale gas has made significant breakthroughs, but factors influencing gas contents of deep marine shale are elusive, and quantitative prediction methods of gas content needs to be refined urgently.
He X +14 more
europepmc +2 more sources
Coal seam gas (CSG), also known as coalbed methane (CBM), is an important source of gas supply to the liquefied natural gas (LNG) exporting facilities in eastern Australia and to the Australian domestic market.
Alireza Salmachi +6 more
doaj +2 more sources
The Gas Content and Stripping of Local Group Dwarf Galaxies [PDF]
The gas content of the complete compilation of Local Group dwarf galaxies (119 within 2 Mpc) is presented using H i survey data. Within the virial radius of the Milky Way (224 kpc here), 53 of 55 dwarf galaxies are devoid of gas to limits of M H i < 104 ...
M. Putman +6 more
semanticscholar +1 more source
Prediction model of coal seam gas content based on ACSOA optimized BP neural network
For the problem of coal seam gas content prediction, the influencing factors of coal seam gas content were analyzed by taking No.2 coal seam of Chensilou Coal Mine as the research object.
Prediction model of coal seam gas content based on ACSOA optimized BP neural network
doaj +1 more source
Gas content is an important parameter for evaluating coalbed methane reservoirs, so it is an important prerequisite for coalbed methane resource evaluation and favorable area optimization to predict the gas content accurately.
Chao Yang +4 more
semanticscholar +1 more source
Experimental Study on Rapid Determination Method of Coal Seam Gas Content by Indirect Method
In view of the problems of heavy work, long cycle, high cost and low efficiency in the process of indirect determination of coal seam gas content, the basic gas parameters and coal quality indexes of 24 coal samples from 5 coal mines in the Hancheng area
Hongyan Lei +4 more
semanticscholar +1 more source
Low-resistivity shales are widely developed in the Sichuan Basin. The production of low-resistivity shale gas reservoirs ranges from high to low to none.
Xianggang Duan +7 more
doaj +1 more source
Method for Intensive Gas–Liquid Dispersion in a Stirred Tank
This article presents the results of hydrodynamics and mass exchange in a stirred tank upon the introduction of gas from an open gas vortex cavity into local liquid regions with reduced pressure.
Nikolai A. Voinov +4 more
doaj +1 more source

