IMECH-IR  > 流固耦合系统力学重点实验室
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 PublicationIEEE GEOSCIENCE AND REMOTE SENSING LETTERS
2022
Volume19Pages:5
ISSN1545-598X
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.

KeywordConductivity Tensors Mathematical models Rocks Numerical models Computational modeling Anisotropic magnetoresistance Anisotropy Archie's law resistivity tensorial water saturation
DOI10.1109/LGRS.2021.3124335
Indexed BySCI ; EI
Language英语
WOS IDWOS:000742225800047
WOS KeywordELECTRICAL-RESISTIVITY
WOS Research AreaGeochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectGeochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
Funding ProjectNational Science Foundation of China[41874140] ; National Science Foundation of China[41704107]
Funding OrganizationNational Science Foundation of China
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://dspace.imech.ac.cn/handle/311007/88382
Collection流固耦合系统力学重点实验室
Corresponding AuthorGuo, Chen
Affiliation1.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.
Files in This Item: Download All
File Name/Size DocType Version Access License
Jp2022FA587.pdf(908KB)期刊论文出版稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Lanfanshu
Similar articles in Lanfanshu
[Guo, Chen]'s Articles
[Fan, Zhenzhen]'s Articles
[Ling BW(凌博闻)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Guo, Chen]'s Articles
[Fan, Zhenzhen]'s Articles
[Ling BW(凌博闻)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Guo, Chen]'s Articles
[Fan, Zhenzhen]'s Articles
[Ling BW(凌博闻)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Jp2022FA587.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.