A Tensorial Archie's Law for Water Saturation Evaluation in Anisotropic Model | |
Guo, Chen1,2; Fan, Zhenzhen1; Ling BW(凌博闻)2,3; Yang, Zhifang4 | |
Source Publication | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
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2022 | |
Volume | 19Pages:5 |
ISSN | 1545-598X |
Abstract | 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. |
Keyword | Conductivity Tensors Mathematical models Rocks Numerical models Computational modeling Anisotropic magnetoresistance Anisotropy Archie's law resistivity tensorial water saturation |
DOI | 10.1109/LGRS.2021.3124335 |
Indexed By | SCI ; EI |
Language | 英语 |
WOS ID | WOS:000742225800047 |
WOS Keyword | ELECTRICAL-RESISTIVITY |
WOS Research Area | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS Subject | Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology |
Funding Project | National Science Foundation of China[41874140] ; National Science Foundation of China[41704107] |
Funding Organization | National Science Foundation of China |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://dspace.imech.ac.cn/handle/311007/88382 |
Collection | 流固耦合系统力学重点实验室 |
Corresponding Author | Guo, Chen |
Affiliation | 1.Changan Univ, Sch Informat Engn, Xian 710064, Peoples R China 2.Stanford Univ, Sch Earth Energy & Environm Sci, Stanford, CA 94305 USA 3.Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China 4.CNPC, PetroChina Res Inst Petr Explorat & Dev, Beijing 100083, Peoples R China |
Recommended Citation GB/T 7714 | Guo, Chen,Fan, Zhenzhen,Ling BW,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 BW,&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. |
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