A novel model for predicting tight sandstone reservoir permeability
文献类型：期刊论文
| 作者 | Sun, Lili1; Hao, Xining2; Dou, Hongen3; Adenutsi, Caspar Daniel4; Liu, Wenli5 |
| 刊名 | INTERNATIONAL JOURNAL OF OIL GAS AND COAL TECHNOLOGY
 |
| 出版日期 | 2022 |
| 卷号 | 29期号:1页码:75-90 |
| ISSN号 | 1753-3309 |
| 关键词 | effective movable fluid saturation capillary-bound fluid saturation permeability tight sandstone reservoir nuclear magnetic resonance NMR T-2cutoff |
| DOI | 10.1504/IJOGCT.2022.119345 |
| 通讯作者 | Dou, Hongen(douhongen@petrochina.com.cn) |
| 英文摘要 | In order to solve the problem of low accuracy of permeability prediction in tight sandstone reservoirs, two new parameters namely effective movable fluid saturation and capillary-bound fluid saturation were proposed, to quantitatively evaluate the flow capacity of reservoir fluids based on the analysis of the state of fluid occurrence in pore space. Nuclear magnetic resonance (NMR) and high-pressure mercury injection experiments were used to establish the relationships between permeability and the new parameters and a new permeability prediction model was proposed in tight sandstone reservoirs. The method was verified by comparing permeability computed using existing models and measured data from the field. The results showed that the proposed model in this paper gave R-2 and root mean square error values of 0.839 and 0.0428, respectively, which were better than that given by the SDR and the Coates models. Thus, the proposed model in this research significantly improved the accuracy of permeability prediction in tight sandstone reservoirs. This provides a new method for permeability prediction and field development in tight sandstone reservoirs. [Received: December 20, 2019; Accepted: December 16, 2020] |
| WOS关键词 | NUCLEAR-MAGNETIC-RESONANCE ; PORE-SIZE ; SATURATION |
| 资助项目 | National Key Research and Development Program of China[2017YFA0605303] ; National Natural Science Foundation of China[41877454] ; China Postdoctoral Science Foundation[2019M650824] ; Youth Innovation Promotion Association of CAS[2019053] |
| WOS研究方向 | Energy & Fuels ; Engineering |
| 语种 | 英语 |
| 出版者 | INDERSCIENCE ENTERPRISES LTD |
| WOS记录号 | WOS:000725118300005 |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; Youth Innovation Promotion Association of CAS |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/168324]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Dou, Hongen |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Patterns & Simulat, Beijing 100101, Peoples R China 2.China Natl Offshore Oil Corp, Res Inst, Beijing 100027, Peoples R China 3.Res Inst Petr Explorat & Dev, Beijing 100083, Peoples R China 4.Kwame Nkrumah Univ Sci & Technol, Fac Civil & Geoengn, Dept Petr Engn, Core & Rock Properties Lab, Kumasi, Ghana 5.Xianhe Oil Prod Plant Shengli Oilfield, Dongying 257000, Peoples R China |
| 推荐引用方式 GB/T 7714 | Sun, Lili,Hao, Xining,Dou, Hongen,et al. A novel model for predicting tight sandstone reservoir permeability[J]. INTERNATIONAL JOURNAL OF OIL GAS AND COAL TECHNOLOGY,2022,29(1):75-90. |
| APA | Sun, Lili,Hao, Xining,Dou, Hongen,Adenutsi, Caspar Daniel,&Liu, Wenli.(2022).A novel model for predicting tight sandstone reservoir permeability.INTERNATIONAL JOURNAL OF OIL GAS AND COAL TECHNOLOGY,29(1),75-90. |
| MLA | Sun, Lili,et al."A novel model for predicting tight sandstone reservoir permeability".INTERNATIONAL JOURNAL OF OIL GAS AND COAL TECHNOLOGY 29.1(2022):75-90. |
入库方式： OAI收割
来源：地理科学与资源研究所
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