A novel permeability prediction model for coal based on dynamic transformation of pores in multiple scales
文献类型：期刊论文
| 作者 | Wang, Ziwei2,3,4; Qin, Yong3,4,7; Shen, Jian3,4; Li, Teng1; Zhang, Xiaoyang5; Cai, Ying6 |
| 刊名 | ENERGY
 |
| 出版日期 | 2022-10-15 |
| 卷号 | 257页码:13 |
| 关键词 | NMRT2 spectrum SDR model Pore geometry Fractal theory CBM development |
| ISSN号 | 0360-5442 |
| DOI | 10.1016/j.energy.2022.124710 |
| 通讯作者 | Qin, Yong(yongqin@cumt.edu.cn) |
| 英文摘要 | Schlumberger-Doll research (SDR) model is popular in predicting rock permeability, however the intrinsic defects constrain its applicability in coal. Pore structure in coal is complicated while SDR model assumes it is homogeneous. To solve this problem, we conducted water flushing experiments to simulate coalbed methane (CBM) drainage process using nuclear magnetic resonance (NMR) on durain (DHB-9-3), clarain (HP-5-3) and semi clarain (MD-6-6). Through comparative analyses on stress sensitivity, adsorption pores in DHB-9-3, non-adsorbed pores in HP-5-3 and seepage pores in MD-6-6 show a greater sensitivity. The non-adsorbed pores, which are responsible for reservoir permeability, become more complicated under increasing effective stress. The fractal dimension of non-adsorbed pores in DHB-9-3 and HP-5-3 increases from 2.93 to 2.97, and from 2.92 to 2.93 in MD-6-6 when the inlet water pressure reduces from 8 MPa to 3 MPa, indicating a more complicated pore geometry and a longer water flow pathway. As a result, the permeability shows a downward trend. A novel coal permeability pre-diction model is constructed with a factor of fractal dimension embedded in. Compared with SDR model, the new model is verified to have 0.79 times, 0.16 times and 0.08 times less error rates in DHB-9-3, HP -5-3 and MD-6-6, respectively.(c) 2022 Elsevier Ltd. All rights reserved. |
| WOS关键词 | NUCLEAR-MAGNETIC-RESONANCE ; HIGH RANK COALS ; PETROPHYSICAL CHARACTERIZATION ; METHANE DEVELOPMENT ; STRESS SENSITIVITY ; NMR ; FRACTURE ; SIMULATION ; WATER ; DISTRIBUTIONS |
| 资助项目 | Key Program of Natural Science Foundation of China[42130802] ; Scientific and Technological Project from China Huaneng Group Co., LTD.[HNKJ20-H87] ; Shanxi Province Science and Technology Plan Unveiling and Bidding Project[20201101003] ; China Scholarship Council[CSC201906420044] |
| WOS研究方向 | Thermodynamics ; Energy & Fuels |
| 语种 | 英语 |
| WOS记录号 | WOS:000862691500003 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 资助机构 | Key Program of Natural Science Foundation of China ; Scientific and Technological Project from China Huaneng Group Co., LTD. ; Shanxi Province Science and Technology Plan Unveiling and Bidding Project ; China Scholarship Council |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/185265]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Qin, Yong |
| 作者单位 | 1.Xian Shiyou Univ, Coll Petr Engn, Xian 710065, Peoples R China 2.China Three Gorges Corp, Sci & Technol Res Inst, Beijing 100038, Peoples R China 3.China Univ Min & Technol, MOE Key Lab Coalbed Methane Resources & Reservoir, Xuzhou 221116, Peoples R China 4.China Univ Min & Technol, Sch Resources & Geosci, Xuzhou 221116, Peoples R China 5.Shandong Univ Sci & Technol, Coll Earth Sci & Engn, Qingdao 266590, Peoples R China 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 7.China Univ Min & Technol, 1 Campus Rd, Xuzhou, Jiangsu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Ziwei,Qin, Yong,Shen, Jian,et al. A novel permeability prediction model for coal based on dynamic transformation of pores in multiple scales[J]. ENERGY,2022,257:13. |
| APA | Wang, Ziwei,Qin, Yong,Shen, Jian,Li, Teng,Zhang, Xiaoyang,&Cai, Ying.(2022).A novel permeability prediction model for coal based on dynamic transformation of pores in multiple scales.ENERGY,257,13. |
| MLA | Wang, Ziwei,et al."A novel permeability prediction model for coal based on dynamic transformation of pores in multiple scales".ENERGY 257(2022):13. |
入库方式： OAI收割
来源：地理科学与资源研究所
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