Coalbed methane system potential evaluation and favourable area prediction of Gujiao blocks, Xishan coalfield, based on multi-level fuzzy mathematical analysis | |
Wang, Gang1,2; Qin, Yong3; Xie, Yiwei4; Shen, Jian3; Zhao, Long5; Huang, Bo6; Zhao, Wenqiang4 | |
刊名 | JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING |
2018 | |
卷号 | 160页码:136-151 |
关键词 | Multi-level Fuzzy Mathematical Analysis Coalbed Methane (Cbm) System Gujiao Blocks Potential Evaluation Favourable Areas Prediction |
ISSN号 | 0920-4105 |
DOI | 10.1016/j.petrol.2017.10.042 |
文献子类 | Article |
英文摘要 | Coalbed methane (CBM) resources are abundant in Gujiao blocks, Xishan coalfield, China. However, there is little previous geological research regarding coalbed methane. Using a quantitative and qualitative index, the hydrocarbon source rocks and preservation conditions of No. 2, 8 and 9 coalbed methane systems in Gujiao blocks were evaluated through a multi-level fuzzy method. On this basis, the comprehensive favourable area of three CBM systems and multi-layer commingled production were predicted. The results showed that the comprehensive score trend of hydrocarbon source rocks in Gujiao blocks gradually increases from southeast to northwest. The comprehensive score trend of preservation conditions increases gradually from north to south. The No. 2 coalbed methane system of the Shanxi formation is given priority over level II, which is distributed in the central and southern study area. The No. 8 coalbed methane system of the Taiyuan formation is given priority over level III, followed by level IV. The No. 9 coalbed methane system of the Taiyuan formation is given priority over level II and level III, which is distributed in the central and southern study area. Most of the area is suitable for individual CBM exploitation of No. 8 coal. The favourable area for the No. 2+8 coal layer is located in parts of the central, south-western and south-eastern study area. The favourable area for No. 8+9 coal layer is located in the Dongqu well field and the southern Tunlan well field. The favourable area for No. 2+8+9 coal layer is located in the eastern Yang Zhuang well field. |
WOS关键词 | SOUTHERN QINSHUI BASIN ; SOUTHEASTERN ORDOS BASIN ; GEOLOGICAL CONTROLS ; GAS CONTENT ; JHARIA COALFIELD ; WESTERN GUIZHOU ; CENTRAL PART ; NORTH CHINA ; WELL LOGS ; PERMEABILITY |
WOS研究方向 | Energy & Fuels ; Engineering |
语种 | 英语 |
出版者 | ELSEVIER SCIENCE BV |
WOS记录号 | WOS:000415826400012 |
资助机构 | National Natural Science Foundation of China(41672149 ; Natural Science Foundation of China(41530314) ; National Science and Technology Major Project(2016ZX05044-002) ; Scientific Research Foundation of Key Laboratory of Coalbed Methane Resources and Reservoir Formation Process, Ministry of Education (China University of Mining and Technology)(2017-001) ; Scientific Research Foundation of Shandong Provincial Key Laboratory of Depositional Mineralization & Sedimentary Mineral, Shandong University of Science and Technology(DMSM2017012) ; 41672146) ; National Natural Science Foundation of China(41672149 ; Natural Science Foundation of China(41530314) ; National Science and Technology Major Project(2016ZX05044-002) ; Scientific Research Foundation of Key Laboratory of Coalbed Methane Resources and Reservoir Formation Process, Ministry of Education (China University of Mining and Technology)(2017-001) ; Scientific Research Foundation of Shandong Provincial Key Laboratory of Depositional Mineralization & Sedimentary Mineral, Shandong University of Science and Technology(DMSM2017012) ; 41672146) ; National Natural Science Foundation of China(41672149 ; Natural Science Foundation of China(41530314) ; National Science and Technology Major Project(2016ZX05044-002) ; Scientific Research Foundation of Key Laboratory of Coalbed Methane Resources and Reservoir Formation Process, Ministry of Education (China University of Mining and Technology)(2017-001) ; Scientific Research Foundation of Shandong Provincial Key Laboratory of Depositional Mineralization & Sedimentary Mineral, Shandong University of Science and Technology(DMSM2017012) ; 41672146) ; National Natural Science Foundation of China(41672149 ; Natural Science Foundation of China(41530314) ; National Science and Technology Major Project(2016ZX05044-002) ; Scientific Research Foundation of Key Laboratory of Coalbed Methane Resources and Reservoir Formation Process, Ministry of Education (China University of Mining and Technology)(2017-001) ; Scientific Research Foundation of Shandong Provincial Key Laboratory of Depositional Mineralization & Sedimentary Mineral, Shandong University of Science and Technology(DMSM2017012) ; 41672146) |
内容类型 | 期刊论文 |
源URL | [http://ir.iggcas.ac.cn/handle/132A11/62470] |
专题 | 地质与地球物理研究所_中国科学院油气资源研究重点实验室 |
通讯作者 | Qin, Yong |
作者单位 | 1.Hebei Univ Engn, Key Lab Resource Survey & Res Hebei Prov, Handan 056038, Peoples R China 2.Shandong Univ Sci & Technol, Shandong Prov Key Lab Deposit Mineralizat & Sedim, Qingdao 266590, Peoples R China 3.China Univ Min & Technol, Minist Educ, Key Lab Coalbed Methane Resources & Reservoir For, Xuzhou 221116, Peoples R China 4.Xi Shan Coal Elect Grp, Geol Sect, Taiyuan 030053, Shanxi, Peoples R China 5.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, Beijing 100029, Peoples R China 6.Henan Inst Engn, Dept Resources & Environm Engn, Zhengzhou 451191, Henan, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Gang,Qin, Yong,Xie, Yiwei,et al. Coalbed methane system potential evaluation and favourable area prediction of Gujiao blocks, Xishan coalfield, based on multi-level fuzzy mathematical analysis[J]. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING,2018,160:136-151. |
APA | Wang, Gang.,Qin, Yong.,Xie, Yiwei.,Shen, Jian.,Zhao, Long.,...&Zhao, Wenqiang.(2018).Coalbed methane system potential evaluation and favourable area prediction of Gujiao blocks, Xishan coalfield, based on multi-level fuzzy mathematical analysis.JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING,160,136-151. |
MLA | Wang, Gang,et al."Coalbed methane system potential evaluation and favourable area prediction of Gujiao blocks, Xishan coalfield, based on multi-level fuzzy mathematical analysis".JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING 160(2018):136-151. |
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