深层煤岩孔隙结构表征及压裂缝导流能力影响因素

doi:10.13278/j.cnki.jjuese.20230291

Journal of Jilin University(Earth Science Edition) ›› 2025, Vol. 55 ›› Issue (4): 1061-1076.doi: 10.13278/j.cnki.jjuese.20230291

Previous Articles Next Articles

Pore Structure Characterization and Influencing Factors of Fracture Conductivity in Deep Coal Rock#br#

Wang Zilin^1,2, Shi Jingyue^1,2, Yang Ying³, Xu Dong^1,2, Zeng Quanshu⁴, Zhang Yichang⁵

1. Institute of Engineering Technology, PetroChina Coalbed Methane Company Limited, Xi’an 710082, China
2. China United Coalbed Methane National Engineering Research Center Company Limited, Beijing 100089, China
3. Key Laboratory of Continental Shale Hydrocarbon Accumulation and Efficient Development (Northeast Petroleum University),
Ministry of Education, Daqing 163318, Heilongjiang, China
4. School of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102200，China
5. Unconventional Oil and Gas Research Institute, Northeast Petroleum University, Daqing 163318, Heilongjiang, China

Received:2023-10-30 Online:2025-07-26 Published:2025-08-05
Supported by:
the Prospective Basic Technology Research Project of China National Petroleum Corporation (2021DJ2004)

Abstract

Abstract:

The fracture conductivity is an important index to determine the fracturing effect of deep coalbed methane reservoirs. The three-dimensional digital core of a deep coal-rock reservoir in Daning block was constructed by using high-resolution CT scanning technology and the advanced mathematical algorithm of Avizo visualization software, and the microscopic pore structure characterization of different types of coal-rock reservoirs was carried out from multiple dimensions. On this basis, the linear flow fracture conductivity experimental device was used to evaluate coal rock fracture conductivity. The effects of proppant particle size, sanding concentration, different proppant particle size combinations, closure pressure, proppant embedding and pore throat structure on the fracture conductivity of coal rock were systematically studied. The results show that the pore structure characteristics of different types of coal rock samples in the study area are significantly different. The distribution form of pore throat is mainly continuous or isolated. The pore radius is distributed primarily in 5.23-34.85 μm, the throat radius is mostly 1.31-12.27 μm, and the pore throat coordination number is small. With the decrease in permeability, the connectivity of the pore throat worsens and the heterogeneity strengthens. The fracture conductivity under the support of large particle size proppant is stronger, but the fracture conductivity under the support of small particle size proppant is more stable. The fracture conductivity increases significantly with the increase of sanding strength but decreases with the increase of closure stress. When the propping agent is embedded in the coal and rock strata, the flow space of the fluid in the fracture will be compressed and blocked, and the fracture conductivity can be decreased by 12.2%. Under different proppant particle size combination ratios, the higher the proportion of large particle size proppant, the greater the conductivity. In general, the main controlling factors of fracture conductivity of coal-rock pressure in this area are sanding concentration, proppant particle size, and fracture closure stress.

Key words: coal rock')">

coal rock, pore structure, fracture conductivity, proppant particle size, sanding concentration, closure stress

CLC Number:

P618.11

Wang Zilin, Shi Jingyue, Yang Ying, Xu Dong, Zeng Quanshu, Zhang Yichang. Pore Structure Characterization and Influencing Factors of Fracture Conductivity in Deep Coal Rock#br#[J].Journal of Jilin University(Earth Science Edition), 2025, 55(4): 1061-1076.

0
/ / Recommend coal rock; pore structure; fracture conductivity; proppant particle size; sanding concentration; closure stress
”. Please open it by linking:http://xuebao.jlu.edu.cn/dxb/EN/abstract/abstract11960.shtml" name="neirong"> coal rock; pore structure; fracture conductivity; proppant particle size; sanding concentration; closure stress
">

Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks

URL: http://xuebao.jlu.edu.cn/dxb/EN/10.13278/j.cnki.jjuese.20230291

http://xuebao.jlu.edu.cn/dxb/EN/Y2025/V55/I4/1061

References

Related Articles 15

[1]	Lu Yan, Liu Zongbin, Liao Xinwu, Li Chao, Wang Ya. Fluid Flow Characteristics in Low-Permeability Sandstone Reservoirs [J]. Journal of Jilin University(Earth Science Edition), 2025, 55(4): 1077-1090.
[2]	Gao Bo, Pan Zhejun, Liu Lianjie, Li Lingling, Hong Shuxin, Pan Huifang, Zhang Bo. Comprehensive Evaluation on the Effectiveness of Conglomerate Reservoir in Shahezi Formation of Xujiaweizi Fault Depression, Songliao Basin [J]. Journal of Jilin University(Earth Science Edition), 2025, 55(1): 31-45.
[3]	Wang Ya, Liu Zongbin, Ma Kuiqian, Lu Yan, Liu Chao. Pore Structure Evaluation of Low-Permeability Sandstones Based on LDA Assisted SSOM Algorithm [J]. Journal of Jilin University(Earth Science Edition), 2025, 55(1): 298-311.
[4]	Liu Zongbin, Li Chao, Lu Yan, Wang Ya, Huang Jianting. Fluid Occurrence State and Permeability Evaluation of Low-Permeability Sandstone Based on Pore Structure Characterization [J]. Journal of Jilin University(Earth Science Edition), 2024, 54(4): 1124-1136.
[5]	Xie Tong, Chen Wei, Pan Shiyang, Shi Wanzhong, Wang Yi, Zhang Yanlin, Duan Ke, Ren Zhijun. Lithofacies Types and Reservoir Characteristics of Gas-Bearing Shale of Permian Dalong Formation in Western Hubei [J]. Journal of Jilin University(Earth Science Edition), 2024, 54(4): 1154-1176.
[6]	Zhang Wen, Lan Sheng, Ma Wenliang, Wang Jia. Study on the Evolution of Pore Structure Characteristics of Xinjiang Oil Shale During the Heating Progress [J]. Journal of Jilin University(Earth Science Edition), 2023, 53(6): 1689-1705.
[7]	Xiong Anliang, Cheng Guofeng, Li Dongtao, Ding Weipan, Liu Yuxi, Chen Gang, Yang Lei, Yuan Yaoli, Zhu Yushuang, Liu Linyu. Micropore Structure and Micro Residual Oil Distribution of Ultra-Low Permeable Reservoir: A Case Study of Chang 4+5 of Baibao Area，Wuqi Oilfield [J]. Journal of Jilin University(Earth Science Edition), 2023, 53(5): 1338-1351.
[8]	Zhao Yue, Li lei, Si Yunhang, Wang Huimin. Fractal Characteristics and Controlling Factors of Pores in Shallow Shale Gas Reservoirs: A Case Study of Longmaxi Formation in Zhaotong Area, Yunnan Province [J]. Journal of Jilin University(Earth Science Edition), 2022, 52(6): 1813-1829.
[9]	Huang Xin, Duan Dongping, Liu Binbin, Li Bingying, Ding Fang, Wang Wei, Lou Min. Origin Mechanism of Chlorite and Its Impact on Reservoir Properties in Huagang Formation, Xihu Depression [J]. Journal of Jilin University(Earth Science Edition), 2021, 51(3): 669-679.
[10]	Zhang Yiming, Qin Xiaoying, Guo Zhiqi, Niu Cong, Wang Di, Ling Yun. Petrophysical Model for Complex Pore Structure and Its Applications in Tight Sand Gas Reservoirs [J]. Journal of Jilin University(Earth Science Edition), 2021, 51(3): 927-939.
[11]	Wu Meng, Qin Yong, Wang Xiaoqing, Li Guozhang, Zhu Chao, Zhu Shifei. Fluid Mobility and Its Influencing Factors of Tight Sandstone Reservoirs in China [J]. Journal of Jilin University(Earth Science Edition), 2021, 51(1): 35-51.
[12]	Wei Bo, Zhao Jianbin, Wei Yanwei, Li Zhenlin, Xiong Kui. Reservoir Classification Method in Second Member of Liushagang Formation in Bailian Area, Fushan Sag [J]. Journal of Jilin University(Earth Science Edition), 2020, 50(6): 1639-1647.
[13]	Yang Kun, Wang Fuyong, Zeng Fanchao, Zhao Jiuyu, Wang Congle. Permeability Prediction Based on Fractal Characteristics of Digital Rock [J]. Journal of Jilin University(Earth Science Edition), 2020, 50(4): 1003-1011.
[14]	Wang Lu, Yang Shenglai, Peng Xian, Liu Yicheng, Xu Wei, Deng Hui. Pore Structure Characteristics and Storage-Seepage Capability of Multi-Type Reservoirs in Fracture-Cavity Carbonate Gas Reservoirs: A Case Study of Deng-4 Member in Gaoshiti-Moxi Area, Sichuan Basin [J]. Journal of Jilin University(Earth Science Edition), 2019, 49(4): 947-958.
[15]	Shan Xiang, Guo Huajun, Guo Xuguang, Zou Zhiwen, Li Yazhe, Wang Libao. Influencing Factors and Quantitative Assessment of Pore Structure in Low Permeability Reservoir: A Case Study of 2nd Member of Permian Upper Urho Formation in Jinlong 2 Area, Junggar Basin [J]. Journal of Jilin University(Earth Science Edition), 2019, 49(3): 637-649.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

Comments

Recommended 10

[1]	CHENG Li-ren, ZHANG Yu-jie, ZHANG Yi-chun. Ordovician Nautiloid Fossils of Xainza Region,Tibet[J]. J4, 2005, 35(03): 273 -0282 .
[2]	LI Bing-cheng. Preliminary Studies on Holocene Climatic In Fuping,Shaanxi Province[J]. J4, 2005, 35(03): 291 -0295 .
[3]	HE Zhong-hua，YANG De-ming，WANG Tian-wu，ZHENG Chang-qing. SHRIMP U[CD*2]Pb Dating of Zircons from Two-Mica Granite in Baga Area in Gangdise Belt[J]. J4, 2005, 35(03): 302 -0307 .
[4]	CHEN Li， NIE Lei， WANG Xiu-fan， LI Jin. Seismic Risk Analysis of Some Electric Power Equipment Station in Suizhong[J]. J4, 2005, 35(05): 641 -645 .
[5]	JI Hong-jin,SUN Feng-yue2,CHEN Man,HU Da-qian,SHI Yan-xiang,PAN Xiang-qing. Geochemical Evaluation for Uncovered GoldBearing Structures in Jiaodong Area[J]. J4, 2005, 35(03): 308 -0312 .
[6]	CHU Feng-you, SUN Guo-sheng,LI Xiao-min,MA Wei-lin, ZHAO Hong-qiao. The Growth Habit and Controlling Factors of the CobaltRich Crusts in Seamount of the Central Pacific[J]. J4, 2005, 35(03): 320 -0325 .
[7]	LI Bin, MENG Zi-fang， LI Xiang-bo, LU Hong-xuan, ZHENG Min. The Structural Features and Depositional Systems of the Early Tertiary in the Biyang Depression[J]. J4, 2005, 35(03): 332 -0339 .
[8]	LI Tao, WU Sheng-jun, CAI Shu-ming, XUE Huai-ping, YASUNORI Nakayama. Simulation Analysis of the Storage Capacity Based on DEM Before and After Connecting to Yangtze River in Zhangdu Lake[J]. J4, 2005, 35(03): 351 -0355 .
[9]	KUANG Li-xiong,GUO Jian-hua, MEI Lian-fu, TONG Xiao-lan, YANG Li. Study on the Upheaval of the Bogeda Mountain Block from Angle of Oil and Gas Exploration[J]. J4, 2005, 35(03): 346 -0350 .
[10]	ZHANG Guang-xin, DENG Wei, HE Yan, RAMSIS Salama. An Application of Hydrological Response Units in Assessment of Soil Salinization Risks[J]. J4, 2005, 35(03): 356 -0360 .