Optimal selection of inversion method for gas-adsorption pore characterization of shales in Wufeng and Longmaxi Formation, Sichuan Basin
文献类型：期刊论文
| 作者 | Jiang WB(江文滨)4,5 ; Lin M(林缅)4,5; Luo, Chao2,3; Chen Z(陈卓)4,5; Cao GH(曹高辉)5; Ji LL(姬莉莉)4,5; Dou WC(窦文超)5; Zhong, Kesu2,3; Hao, Fang1
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| 刊名 | CHEMICAL ENGINEERING JOURNAL
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| 出版日期 | 2024-04-01 |
| 卷号 | 485页码:14 |
| 关键词 | Shale Gas Low-Temperature Gas Adsorption Inversion Method Pore Size Distribution Large area mosaic SEM imaging |
| ISSN号 | 1385-8947 |
| DOI | 10.1016/j.cej.2024.149889 |
| 通讯作者 | Lin, Mian(linmian@imech.ac.cn) ; Cao, Gaohui(caogaohui@imech.ac.cn) |
| 英文摘要 | The pore space in gas shale spans multiple scales, ranging from nanometers to micrometers with an extremely complex structure and strong microscopic heterogeneity. Existing low-temperature gas adsorption (LTGA) pore size distribution (PSD) analysis models are based on the assumption of a one-dimensional tubular model and there is a lack of sufficient basis for selecting the most appropriate inversion model among the various types available. In this study, a comprehensive characterization of numerous samples from the Wufeng and Longmaxi Formation in the southern Sichuan Basin was conducted using different methods and inversion models. Based on multiple dimensions, such as fitting errors, the correlation between different methods including low-temperature CO2 adsorption (LTCA), nitrogen adsorption (LTNA), and large-scale mosaic Scanning Electron Microscopy (LAM-SEM), the most suitable one-dimensional models for LTCA and LTNA PSD analysis for the studied shale samples are determined. The simulation of gas condensation processes on LAM-SEM images yielded pore volume (PV) in the range of 32-48 nm comparable to the PV characterized by LTNA. Furthermore, the differences observed in PSDs between the gas condensation simulation procedure and the equivalent circular area diameter method indicate that irregular corner regions within larger pores are attributed to the volume of smaller-sized pores during gas adsorption characterization. It is revealed that the correlation between stitched surface area (SA) and maximum methane adsorption is stronger than individual characterizations, indicating that both micropores and mesopores contribute significantly to adsorption, and both characterization methods need to be employed to obtain SSA that influences methane adsorption. The research findings are helpful to the improvement of the multi-scale pore characterization level and evaluation of shale reservoirs. |
| 分类号 | 一类 |
| WOS关键词 | NITROGEN ADSORPTION ; POROSIMETRY ; SIZE ; COMBINATION ; RESERVOIRS ; INSIGHTS ; METHANE ; N-2 |
| 资助项目 | National Natural Science Foundation of China[42030808] ; National Natural Science Foundation of China[41690132] ; National Natural Science Foundation of China[41406124] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA14010304] ; Strategic Priority Research Program of the Chinese Academy of Sciences[2020BA19] ; PetroChina Science and Technology Major Project[2019F-31-01] |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:001195298800001 |
| 资助机构 | National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; PetroChina Science and Technology Major Project |
| 其他责任者 | Lin, Mian ; Cao, Gaohui |
| 源URL | [http://dspace.imech.ac.cn/handle/311007/94851]  |
| 专题 | 力学研究所_流固耦合系统力学重点实验室(2012-) |
| 作者单位 | 1.China Univ Petr, Sch Geosci, Qingdao 266580, Shandong, Peoples R China 2.PetroChina Southwest Oil & Gasfield Co, Shale Gas Res Inst, Chengdu 610051, Sichuan, Peoples R China; 3.PetroChina Southwest Oil & Gasfield Co, Chengdu 610051, Sichuan, Peoples R China; 4.Univ Chinese Acad Sci, Beijing 100190, Peoples R China; 5.Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Jiang WB,Lin M,Luo, Chao,et al. Optimal selection of inversion method for gas-adsorption pore characterization of shales in Wufeng and Longmaxi Formation, Sichuan Basin[J]. CHEMICAL ENGINEERING JOURNAL,2024,485:14. |
| APA | 江文滨.,林缅.,Luo, Chao.,陈卓.,曹高辉.,...&Hao, Fang.(2024).Optimal selection of inversion method for gas-adsorption pore characterization of shales in Wufeng and Longmaxi Formation, Sichuan Basin.CHEMICAL ENGINEERING JOURNAL,485,14. |
| MLA | 江文滨,et al."Optimal selection of inversion method for gas-adsorption pore characterization of shales in Wufeng and Longmaxi Formation, Sichuan Basin".CHEMICAL ENGINEERING JOURNAL 485(2024):14. |
入库方式： OAI收割
来源：力学研究所
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