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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Autores principales: Jian Fu, Xuesong Li, Yonghe Sun, Qiuli Huo, Ting Gao, Li Fu, Yuchen Liu, Suxing Dong, Haijun Fan
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Lenguaje:EN
Publicado: Hindawi-Wiley 2021
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Acceso en línea:https://doaj.org/article/5435cfb7c1f944e1a9db1a53026ec8e2
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spelling oai:doaj.org-article:5435cfb7c1f944e1a9db1a53026ec8e22021-11-08T02:37:26ZA New Evaluation Method of Total Organic Carbon for Shale Source Rock Based on the Effective Medium Conductivity Theory1468-812310.1155/2021/9030311https://doaj.org/article/5435cfb7c1f944e1a9db1a53026ec8e22021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/9030311https://doaj.org/toc/1468-8123In 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.Jian FuXuesong LiYonghe SunQiuli HuoTing GaoLi FuYuchen LiuSuxing DongHaijun FanHindawi-WileyarticleGeologyQE1-996.5ENGeofluids, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Geology
QE1-996.5
spellingShingle Geology
QE1-996.5
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
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.
format article
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
title 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_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_sort new evaluation method of total organic carbon for shale source rock based on the effective medium conductivity theory
publisher Hindawi-Wiley
publishDate 2021
url https://doaj.org/article/5435cfb7c1f944e1a9db1a53026ec8e2
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