Quantify Coal Macrolithotypes of a Whole Coal Seam: A Method Combing Multiple Geophysical Logging and Principal Component Analysis

Coal macrolithotypes control the reservoir heterogeneity, which plays a significant role in the exploration and development of coalbed methane. Traditional methods for coal macrolithotype evaluation often rely on core observation, but these techniques are non-economical and insufficient. The geophys...

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Bibliographic Details
Published in:Energies (Basel) 2021-01, Vol.14 (1), p.213
Main Authors: Cui, Chao, Chang, Suoliang, Yao, Yanbin, Cao, Lutong
Format: Article
Language:English
Subjects:
Brightness
Coal
coal macrolithotype
Coalbed methane
Data logging
Emission standards
Exploration
Fault lines
Gas production
geophysical logging
Geophysics
Heterogeneity
Hydraulic fracturing
Methane
Oil and gas production
PCA methodology
Permeability
Physical properties
Principal components analysis
Statistical analysis
Zhengzhuang field
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Summary:Coal macrolithotypes control the reservoir heterogeneity, which plays a significant role in the exploration and development of coalbed methane. Traditional methods for coal macrolithotype evaluation often rely on core observation, but these techniques are non-economical and insufficient. The geophysical logging data are easily available for coalbed methane exploration; thus, it is necessary to find a relationship between core observation results and wireline logging data, and then to provide a new method to quantify coal macrolithotypes of a whole coal seam. In this study, we propose a L-Index model by combing the multiple geophysical logging data with principal component analysis, and we use the L-Index model to quantitatively evaluate the vertical and regional distributions of the macrolithotypes of No. 3 coal seam in Zhengzhuang field, southern Qinshui basin. Moreover, we also proposed a S-Index model to quantitatively evaluate the general brightness of a whole coal seam: the increase of the S-Index from 1 to 3.7, indicates decreasing brightness, i.e., from bright coal to dull coal. Finally, we discussed the relationship between S-Index and the hydro-fracturing effect. It was found that the coal seam with low S-Index values can easily form long extending fractures during hydraulic fracturing. Therefore, the lower S-Index values indicate much more favorable gas production potential in the Zhengzhuang field. This study provides a new methodology to evaluate coal macrolithotypes by using geophysical logging data.
ISSN:1996-1073
1996-1073
DOI:10.3390/en14010213