Methods and Models for Analyzing Methane Sorption Capacity of Coal Based on Its Physicochemical Characteristics. / Oparin, V. N.; Kiryaeva, T. A.; Potapov, V. P.
In: Journal of Mining Science, Vol. 53, No. 4, 2, 01.07.2018, p. 614-629.Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - Methods and Models for Analyzing Methane Sorption Capacity of Coal Based on Its Physicochemical Characteristics
AU - Oparin, V. N.
AU - Kiryaeva, T. A.
AU - Potapov, V. P.
N1 - Funding Information: This study was supported by the Russian Science Foundation, project no. 17-17-01282. Publisher Copyright: © 2017, Pleiades Publishing, Ltd.
PY - 2018/7/1
Y1 - 2018/7/1
N2 - The authors study the influence of physicochemical parameters on methane adsorption capacity of coal and offer the analytical method for the methane adsorption capacity for three-phased condition of methane. It is found that in the depth interval to 300 m below surface, methane adsorption capacity measured in lab can exceed natural gas content of coal obtained from geological exploration data by 30%, and the change in the thermodynamic condition of coal–methane system brings irreversible physicochemical consequences in terms of the altered ratios of physical states of the main components. There is no linear connection between natural gas content of a coal bed and its methane adsorption capacity with respect to occurrence depth. The application of Big Data in treatment and interpretation of large data flows is described. The theoretical data predicted using the proposed method and the experimental data on methane content of Kuzbass coal agree.
AB - The authors study the influence of physicochemical parameters on methane adsorption capacity of coal and offer the analytical method for the methane adsorption capacity for three-phased condition of methane. It is found that in the depth interval to 300 m below surface, methane adsorption capacity measured in lab can exceed natural gas content of coal obtained from geological exploration data by 30%, and the change in the thermodynamic condition of coal–methane system brings irreversible physicochemical consequences in terms of the altered ratios of physical states of the main components. There is no linear connection between natural gas content of a coal bed and its methane adsorption capacity with respect to occurrence depth. The application of Big Data in treatment and interpretation of large data flows is described. The theoretical data predicted using the proposed method and the experimental data on methane content of Kuzbass coal agree.
KW - adsorption
KW - Coalbed methane
KW - flat data files
KW - geomechanical and geodynamic data-flow computing
KW - Langmuir isotherm
KW - methane content
KW - moisture content
KW - petrography
KW - porosity
KW - volatile yield
UR - http://www.scopus.com/inward/record.url?scp=85045691871&partnerID=8YFLogxK
UR - https://elibrary.ru/item.asp?id=35544271
U2 - 10.1134/S1062739117042608
DO - 10.1134/S1062739117042608
M3 - Article
AN - SCOPUS:85045691871
VL - 53
SP - 614
EP - 629
JO - Journal of Mining Science
JF - Journal of Mining Science
SN - 1062-7391
IS - 4
M1 - 2
ER -
ID: 41262734