Quantitative interpretation of coal industrial components using a gray system and geophysical logging data: A case study from the Qinshui Basin, China
文献类型:期刊论文
作者 | Guo, Jianhong1; Zhang, Zhansong1; Xiao, Hang4; Zhang, Chaomo1; Zhu, Linqi3; Wang, Can2 |
刊名 | FRONTIERS IN EARTH SCIENCE |
出版日期 | 2023-01-06 |
卷号 | 10页码:21 |
关键词 | coal quality analysis industrial components ash content geophysical logging data Qinshui Basin OBGM (1, N) |
DOI | 10.3389/feart.2022.1031218 |
通讯作者 | Zhang, Zhansong |
英文摘要 | The content of industrial components of coalbeds, one of the main parameters of coalbed methane (CBM) reservoirs, is crucial in the entire coal mine resource exploration and exploitation process. Currently, using geophysical logging data to determine the content of industrial components is the most widely implemented method. In this study, the PZ block in the Qinshui Basin was employed as a target block to evaluate ash (A(ad)), fixed carbon (FCad), volatile matter (V-daf), and moisture (M-ad) under the air-dry (AD) base condition based on the autocorrelation between the geophysical logging curves and industrial component contents combined with the OBGM (1, N) model. The results indicate that 1) the geophysical logging curves combined with the OBGM (1, N) model can accurately predict the A(ad) and FCad contents and an increase in geophysical logging curve types can effectively improve the model performance, compared to using a single geophysical logging curve for prediction. 2) When predicting the V-daf content, using the geophysical logging curves combined with A(ad) and FCad contents had the highest prediction accuracy. Further, prediction bias does not exist, compared to using only the geophysical logging curve or the autocorrelation between the industrial component contents. The entire evaluation process begins with an assessment of the A(ad) and FCad contents. Then, the V-daf content was assessed using the content of these two industrial components combined with geophysical logging data. Finally, the M-ad content was calculated using the volumetric model. Accurate application results were obtained for the verification of new wells, demonstrating the efficacy of the method and procedure described in this study. 3) The OBGM (1, N) model has the highest prediction accuracy compared with the multiple regression and GM (0, N) models, which have the same computational cost. The geophysical logging interpretation model of the proposed coalbed industrial component contents is simple to calculate and suitable for small samples, providing a new method for the evaluation process of industrial component contents. |
WOS关键词 | PERMIAN COAL ; METHANE ; SEAM ; GAS ; IDENTIFICATION ; PERMEABILITY ; PREDICTION ; PARAMETERS ; RESERVOIRS ; COALFIELD |
资助项目 | Open Fund of the Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education[K2021-03] ; Open Fund of the Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education[K2021-08] ; National Natural Science Foundation of China[42106213] ; Hainan Provincial Natural Science Foundation of China[421QN281] |
WOS研究方向 | Geology |
语种 | 英语 |
出版者 | FRONTIERS MEDIA SA |
WOS记录号 | WOS:000918341300001 |
资助机构 | Open Fund of the Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education ; National Natural Science Foundation of China ; Hainan Provincial Natural Science Foundation of China |
版本 | 出版稿 |
源URL | [http://ir.idsse.ac.cn/handle/183446/10086] |
专题 | 深海科学研究部_深海地球物理与资源研究室 |
通讯作者 | Zhang, Zhansong |
作者单位 | 1.Yangtze Univ, Key Lab Explorat Technol Oil & Gas Resources, Minist Educ, Wuhan, Peoples R China 2.Hubei Inst Hydrogeol & Engn Geol, Jingzhou, Peoples R China 3.Chinese Acad Sci, Inst Deep Sea Sci & Engn, Sanya, Peoples R China 4.Sinopec Jianghan Oilfeld Co, Res Inst Explorat & Dev, Wuhan, Peoples R China |
推荐引用方式 GB/T 7714 | Guo, Jianhong,Zhang, Zhansong,Xiao, Hang,et al. Quantitative interpretation of coal industrial components using a gray system and geophysical logging data: A case study from the Qinshui Basin, China[J]. FRONTIERS IN EARTH SCIENCE,2023,10:21. |
APA | Guo, Jianhong,Zhang, Zhansong,Xiao, Hang,Zhang, Chaomo,Zhu, Linqi,&Wang, Can.(2023).Quantitative interpretation of coal industrial components using a gray system and geophysical logging data: A case study from the Qinshui Basin, China.FRONTIERS IN EARTH SCIENCE,10,21. |
MLA | Guo, Jianhong,et al."Quantitative interpretation of coal industrial components using a gray system and geophysical logging data: A case study from the Qinshui Basin, China".FRONTIERS IN EARTH SCIENCE 10(2023):21. |
入库方式: OAI收割
来源:深海科学与工程研究所
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