A New Evaluation Method of Total Organic Carbon for Shale Source Rock Based on the Effective Medium Conductivity Theory

In the evaluation of source rocks, the total organic carbon (TOC) is an important indicator to evaluate the hydrocarbon generation potential of source rocks. At present, the commonly used methods for assessing TOC include △logR and neural network method. However, practice shows that these methods ha...

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Main Authors: Jian Fu, Xuesong Li, Yonghe Sun, Qiuli Huo, Ting Gao, Li Fu, Yuchen Liu, Suxing Dong, Haijun Fan
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Geofluids
Online Access:http://dx.doi.org/10.1155/2021/9030311
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author Jian Fu
Xuesong Li
Yonghe Sun
Qiuli Huo
Ting Gao
Li Fu
Yuchen Liu
Suxing Dong
Haijun Fan
author_facet Jian Fu
Xuesong Li
Yonghe Sun
Qiuli Huo
Ting Gao
Li Fu
Yuchen Liu
Suxing Dong
Haijun Fan
author_sort Jian Fu
collection DOAJ
description In the evaluation of source rocks, the total organic carbon (TOC) is an important indicator to evaluate the hydrocarbon generation potential of source rocks. At present, the commonly used methods for assessing TOC include △logR and neural network method. However, practice shows that these methods have limitations in the application of unconventional intervals of sand-shale interbeds, and they cannot sufficiently reflect the variation of TOC in the vertical direction. Therefore, a total organic carbon (TOC) evaluation model suitable for shale and tight sandstone was established based on the effective medium symmetrical conduction theory. The model consists of four components: nonconductive matrix particles, clay minerals, organic components (solid organic matter and hydrocarbons), and pore water. The conductive phase in the model includes clay minerals and pore water, and other components are treated as nonconductive phases. When describing the conductivity of rock, each component in the model is completely symmetrical, and anisotropic characteristics of each component are considered. The model parameters are determined through the optimization method, and the bisection iteration method is used to solve the model equation. Compared with the classic TOC calculation method, the new model can evaluate the abundance of organic matter in shale and tight sandstone, which provides a new option to assess the TOC of rocks based on logging methods.
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id doaj-art-5435cfb7c1f944e1a9db1a53026ec8e2
institution Kabale University
issn 1468-8123
language English
publishDate 2021-01-01
publisher Wiley
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series Geofluids
spelling doaj-art-5435cfb7c1f944e1a9db1a53026ec8e22025-02-03T05:49:27ZengWileyGeofluids1468-81232021-01-01202110.1155/2021/9030311A New Evaluation Method of Total Organic Carbon for Shale Source Rock Based on the Effective Medium Conductivity TheoryJian Fu0Xuesong Li1Yonghe Sun2Qiuli Huo3Ting Gao4Li Fu5Yuchen Liu6Suxing Dong7Haijun Fan8School of Earth SciencesResearch Institute of Exploration and Development of Daqing Oilfield Company Ltd.School of Earth SciencesResearch Institute of Exploration and Development of Daqing Oilfield Company Ltd.Research Institute of Exploration and DevelopmentResearch Institute of Exploration and Development of Daqing Oilfield Company Ltd.School of Earth SciencesSchool of Earth SciencesGeological Research Institute of the Third Oil Production in Daqing Oilfield Co.In the evaluation of source rocks, the total organic carbon (TOC) is an important indicator to evaluate the hydrocarbon generation potential of source rocks. At present, the commonly used methods for assessing TOC include △logR and neural network method. However, practice shows that these methods have limitations in the application of unconventional intervals of sand-shale interbeds, and they cannot sufficiently reflect the variation of TOC in the vertical direction. Therefore, a total organic carbon (TOC) evaluation model suitable for shale and tight sandstone was established based on the effective medium symmetrical conduction theory. The model consists of four components: nonconductive matrix particles, clay minerals, organic components (solid organic matter and hydrocarbons), and pore water. The conductive phase in the model includes clay minerals and pore water, and other components are treated as nonconductive phases. When describing the conductivity of rock, each component in the model is completely symmetrical, and anisotropic characteristics of each component are considered. The model parameters are determined through the optimization method, and the bisection iteration method is used to solve the model equation. Compared with the classic TOC calculation method, the new model can evaluate the abundance of organic matter in shale and tight sandstone, which provides a new option to assess the TOC of rocks based on logging methods.http://dx.doi.org/10.1155/2021/9030311
spellingShingle Jian Fu
Xuesong Li
Yonghe Sun
Qiuli Huo
Ting Gao
Li Fu
Yuchen Liu
Suxing Dong
Haijun Fan
A New Evaluation Method of Total Organic Carbon for Shale Source Rock Based on the Effective Medium Conductivity Theory
Geofluids
title A New Evaluation Method of Total Organic Carbon for Shale Source Rock Based on the Effective Medium Conductivity Theory
title_full A New Evaluation Method of Total Organic Carbon for Shale Source Rock Based on the Effective Medium Conductivity Theory
title_fullStr A New Evaluation Method of Total Organic Carbon for Shale Source Rock Based on the Effective Medium Conductivity Theory
title_full_unstemmed A New Evaluation Method of Total Organic Carbon for Shale Source Rock Based on the Effective Medium Conductivity Theory
title_short A New Evaluation Method of Total Organic Carbon for Shale Source Rock Based on the Effective Medium Conductivity Theory
title_sort new evaluation method of total organic carbon for shale source rock based on the effective medium conductivity theory
url http://dx.doi.org/10.1155/2021/9030311
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