A Tensorial Archie's Law for Water Saturation Evaluation in Anisotropic Model
文献类型：期刊论文
| 作者 | Guo, Chen3,4; Fan, Zhenzhen4; Ling, Bowen2,3; Yang, Zhifang1 |
| 刊名 | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
 |
| 出版日期 | 2022 |
| 卷号 | 19页码:5 |
| 关键词 | Conductivity Tensors Mathematical models Rocks Numerical models Computational modeling Anisotropic magnetoresistance Anisotropy Archie's law resistivity tensorial water saturation |
| ISSN号 | 1545-598X |
| DOI | 10.1109/LGRS.2021.3124335 |
| 通讯作者 | Guo, Chen(chenguo@chd.edu.cn) |
| 英文摘要 | In oil and gas exploration, formation water (or hydrocarbon) content estimation is essential for reservoir evaluation, development, and production. Archie's law, which associates the formation resistivity and water saturation, has been widely adopted for reservoir assessment. However, the accuracy of the scalar-based Archie's law falls when the formation exhibits strong heterogeneity (e.g., fractured shales), as the electrical anisotropy is neglected in the scalar model. In this letter, we propose a tensorial Archie's law based on the effective resistivity tensor of the formation. We construct numerical experiments of idealized three-phase formation geometries that contain ellipsoidal inclusions. The resistivity tensor is calculated from the simulation results and used in the newly proposed Archie's law to calculate the water saturation of the formation, and the model is validated by comparing the predicted saturation with the calculated value from the known geometries. The results show that the tensorial Archie's law captures the anisotropy of the formation by including all tensor elements of the resistivity, thus improving the predictability. |
| WOS关键词 | ELECTRICAL-RESISTIVITY |
| 资助项目 | National Science Foundation of China[41874140] ; National Science Foundation of China[41704107] |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000742225800047 |
| 资助机构 | National Science Foundation of China |
| 源URL | [http://dspace.imech.ac.cn/handle/311007/88381]  |
| 专题 | 力学研究所_流固耦合系统力学重点实验室(2012-) |
| 通讯作者 | Guo, Chen |
| 作者单位 | 1.CNPC, PetroChina Res Inst Petr Explorat & Dev, Beijing 100083, Peoples R China 2.Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China 3.Stanford Univ, Sch Earth Energy & Environm Sci, Stanford, CA 94305 USA 4.Changan Univ, Sch Informat Engn, Xian 710064, Peoples R China |
| 推荐引用方式 GB/T 7714 | Guo, Chen,Fan, Zhenzhen,Ling, Bowen,et al. A Tensorial Archie's Law for Water Saturation Evaluation in Anisotropic Model[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2022,19:5. |
| APA | Guo, Chen,Fan, Zhenzhen,Ling, Bowen,&Yang, Zhifang.(2022).A Tensorial Archie's Law for Water Saturation Evaluation in Anisotropic Model.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,19,5. |
| MLA | Guo, Chen,et al."A Tensorial Archie's Law for Water Saturation Evaluation in Anisotropic Model".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 19(2022):5. |
入库方式： OAI收割
来源：力学研究所
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