Role of Composition and Depth on Pore Attributes of Barakar Formation Gas Shales of Ib Valley, India, Using a Combination of Low-Pressure Sorption and Image Analysis

被引:31
作者
Chandra, Debanjan [1 ]
Vishal, Vikram [1 ,2 ]
Debbarma, Asim [1 ]
Banerjee, Santanu [1 ]
Pradhan, Sarada Prasad [3 ]
Mishra, Manoj Kumar [4 ]
机构
[1] Indian Inst Technol, Dept Earth Sci, Mumbai 400076, Maharashtra, India
[2] Monash Univ, Dept Civil Engn, Fac Engn, Clayton, Vic 3800, Australia
[3] Indian Inst Technol Roorkee, Dept Earth Sci, Roorkee 247667, Uttar Pradesh, India
[4] Natl Inst Technol Rourkela, Dept Min Engn, Sundargarh 769008, Odisha, India
关键词
SURFACE-AREA; SIZE DISTRIBUTION; PARTICLE-SIZE; ADSORPTION; BASIN; CO2; POROSITY; KEROGEN; BARNETT; SYSTEMS;
D O I
10.1021/acs.energyfuels.0c00746
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Pore characterization of shale has gained attention over the years because it provides a good estimate of the total storage capacity of a gas shale reservoir. Ib Valley is a potential shale gas reservoir in India, and this study is a systematic pore analysis of these Barakar Formation shales. A combination of low-pressure gas adsorption and high-resolution scanning electron microscopy coupled with image analysis was used to characterize the pore structure and pore size distribution. The changes in pore attributes with increasing depth, varying mineral composition, and organic matter content were established. We observed a steady decrease in the micropore volume and carbon content with depth. We could successfully segregate the organic matter pores and inter- and intraparticle pores using the scanned images. Both CO2 and N-2 adsorption experiments indicate high adsorption and, thereby, good gas storage capacity in the shales from shallower depth. The decrease in the micropore volume with depth may be related to higher compaction and reduced organic carbon content. From a fundamental point of view, the CO2 grand canonical Monte Carlo model shows better fitting in calculation of the pore size distribution compared to the CO2 density functional theory model.
引用
收藏
页码:8085 / 8098
页数:14
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