A Tensorial Archie's Law for Water Saturation Evaluation in Anisotropic Model
Guo, Chen3,4; Fan, Zhenzhen4; Ling, Bowen2,3; Yang, Zhifang1
刊名IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
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
DOI10.1109/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.
资助项目National Science Foundation of China[41874140] ; National Science Foundation of China[41704107]
WOS关键词ELECTRICAL-RESISTIVITY
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
内容类型期刊论文
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.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace