Multi-scale multi-dimensional characterization of clay-hosted pore networks of shale using FIBSEM, TEM, and X-ray micro-tomography: Implications for methane storage and migration

Gas shales contain a variety of clay-rich materials with multifarious pore networks. Clay-hosted porosity is an essential component and considered to play a crucial role in establishing the original hydrocarbon molecules in place and transport characteristics of the shale gas reservoir. To better un...

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Published inApplied clay science Vol. 213; p. 106239
Main Authors Zhu, Hongjian, Huang, Cheng, Ju, Yiwen, Bu, Hongling, Li, Xiaoshi, Yang, Manping, Chu, Qingzhong, Feng, Hongye, Qiao, Peng, Qi, Yu, Ma, Pinghua, Zheng, Liming, Lu, Yanjun
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.11.2021
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Abstract Gas shales contain a variety of clay-rich materials with multifarious pore networks. Clay-hosted porosity is an essential component and considered to play a crucial role in establishing the original hydrocarbon molecules in place and transport characteristics of the shale gas reservoir. To better understand the petrophysical basis of gas storage and migration mechanisms, we aim to visualize and quantify the nature of the clay-hosted pore networks and across micrometer and nanometer length scales. Core and outcrop samples are provided of various clay-rich shales (Qiongzhusi, Longmaxi, Wufeng, and Shihezi Formation), which are characterized using a synergistic multi-scale multi-dimensional workflow by FIBSEM, TEM, and X-ray micro-tomography (mCT). Clay-hosted pores are observed in three significant modes of occurrence depending on imaging of pores at the 2D-FIBSEM/TEM level. The first pore type is found between clay domains in clay matrix as interparticle pore, with pore size smaller than 1 μm, and includes six subtypes: type a, type b, type c, type d, type e, and type f. The second associated with the admixture belongs to inter-aggregate pore that can be further sub-divided into three classes: type g (organic-clay), type h (pyrite-clay), and type I (organic-pyrite-clay), with pore size above 50 up to 500 nm. The third associated with the clay nanoplatelets is intraparticle pore. The upper pore-size range of such pores is generally less than 1 nm, with most pores being less than 0.4 nm. Using 3D-mCT and 3D-FIBSEM, the data sets were reconstructed, clay structures were segmented and visualized, revealing the well-connected clay-hosted pore networks within the heterogeneous clay matrix and quantitatively computing pore size, pore volume, and porosity at micrometer and nanometer scales. These visual results highlight the significance of clay-hosted pore networks in shale gas reservoirs because they are the dominant controls on the petrophysical properties. The application of this workflow to worldwide clay-rich shale deposits will allow essential insights into estimating porosity and permeability of shale formations and provide insight to the storage and transport of hydrocarbon molecules from shale matrix to predict total gas resources. •We provide a synergistic workflow for clay microstructural characterization.•Gas shales contain a variety of clay-rich materials with multifarious pore networks.•Three major clay-hosted pore types are identified and classified.•Clay pores and their related capacities of storage and transport for gas are studied.
AbstractList Gas shales contain a variety of clay-rich materials with multifarious pore networks. Clay-hosted porosity is an essential component and considered to play a crucial role in establishing the original hydrocarbon molecules in place and transport characteristics of the shale gas reservoir. To better understand the petrophysical basis of gas storage and migration mechanisms, we aim to visualize and quantify the nature of the clay-hosted pore networks and across micrometer and nanometer length scales. Core and outcrop samples are provided of various clay-rich shales (Qiongzhusi, Longmaxi, Wufeng, and Shihezi Formation), which are characterized using a synergistic multi-scale multi-dimensional workflow by FIBSEM, TEM, and X-ray micro-tomography (mCT). Clay-hosted pores are observed in three significant modes of occurrence depending on imaging of pores at the 2D-FIBSEM/TEM level. The first pore type is found between clay domains in clay matrix as interparticle pore, with pore size smaller than 1 μm, and includes six subtypes: type a, type b, type c, type d, type e, and type f. The second associated with the admixture belongs to inter-aggregate pore that can be further sub-divided into three classes: type g (organic-clay), type h (pyrite-clay), and type I (organic-pyrite-clay), with pore size above 50 up to 500 nm. The third associated with the clay nanoplatelets is intraparticle pore. The upper pore-size range of such pores is generally less than 1 nm, with most pores being less than 0.4 nm. Using 3D-mCT and 3D-FIBSEM, the data sets were reconstructed, clay structures were segmented and visualized, revealing the well-connected clay-hosted pore networks within the heterogeneous clay matrix and quantitatively computing pore size, pore volume, and porosity at micrometer and nanometer scales. These visual results highlight the significance of clay-hosted pore networks in shale gas reservoirs because they are the dominant controls on the petrophysical properties. The application of this workflow to worldwide clay-rich shale deposits will allow essential insights into estimating porosity and permeability of shale formations and provide insight to the storage and transport of hydrocarbon molecules from shale matrix to predict total gas resources. •We provide a synergistic workflow for clay microstructural characterization.•Gas shales contain a variety of clay-rich materials with multifarious pore networks.•Three major clay-hosted pore types are identified and classified.•Clay pores and their related capacities of storage and transport for gas are studied.
ArticleNumber 106239
Author Lu, Yanjun
Zheng, Liming
Bu, Hongling
Huang, Cheng
Ju, Yiwen
Yang, Manping
Chu, Qingzhong
Li, Xiaoshi
Zhu, Hongjian
Feng, Hongye
Qiao, Peng
Qi, Yu
Ma, Pinghua
Author_xml – sequence: 1
  givenname: Hongjian
  surname: Zhu
  fullname: Zhu, Hongjian
  email: zhj8641@163.com
  organization: School of Vehicle and Energy, Yanshan University, Qinhuangdao 066000, China
– sequence: 2
  givenname: Cheng
  surname: Huang
  fullname: Huang, Cheng
  organization: School of Civil Engineering, Luoyang Institute of Science and Technology, Luoyang 471023, China
– sequence: 3
  givenname: Yiwen
  surname: Ju
  fullname: Ju, Yiwen
  email: juyw@ucas.ac.cn
  organization: Key Laboratory of Computational Geodynamics, College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
– sequence: 4
  givenname: Hongling
  surname: Bu
  fullname: Bu, Hongling
  organization: National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China, Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management, Guangdong Institute of Eco-environmental Science & Technology, Guangdong Academy of Sciences, Guangzhou 510650, China
– sequence: 5
  givenname: Xiaoshi
  surname: Li
  fullname: Li, Xiaoshi
  organization: Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing 100081, China
– sequence: 6
  givenname: Manping
  surname: Yang
  fullname: Yang, Manping
  email: yangmp@ysu.edu.cn
  organization: School of Vehicle and Energy, Yanshan University, Qinhuangdao 066000, China
– sequence: 7
  givenname: Qingzhong
  surname: Chu
  fullname: Chu, Qingzhong
  organization: School of Vehicle and Energy, Yanshan University, Qinhuangdao 066000, China
– sequence: 8
  givenname: Hongye
  surname: Feng
  fullname: Feng, Hongye
  organization: Key Laboratory of Computational Geodynamics, College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
– sequence: 9
  givenname: Peng
  surname: Qiao
  fullname: Qiao, Peng
  organization: Key Laboratory of Computational Geodynamics, College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
– sequence: 10
  givenname: Yu
  surname: Qi
  fullname: Qi, Yu
  organization: School of Vehicle and Energy, Yanshan University, Qinhuangdao 066000, China
– sequence: 11
  givenname: Pinghua
  surname: Ma
  fullname: Ma, Pinghua
  organization: School of Vehicle and Energy, Yanshan University, Qinhuangdao 066000, China
– sequence: 12
  givenname: Liming
  surname: Zheng
  fullname: Zheng, Liming
  organization: School of Vehicle and Energy, Yanshan University, Qinhuangdao 066000, China
– sequence: 13
  givenname: Yanjun
  surname: Lu
  fullname: Lu, Yanjun
  organization: School of Vehicle and Energy, Yanshan University, Qinhuangdao 066000, China
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Clay-hosted pore
Gas storage and migration
Shale gas reservoirs
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Snippet Gas shales contain a variety of clay-rich materials with multifarious pore networks. Clay-hosted porosity is an essential component and considered to play a...
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SourceType Enrichment Source
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Publisher
StartPage 106239
SubjectTerms Clay-hosted pore
Gas storage and migration
Multi-scale imaging
Shale gas reservoirs
Title Multi-scale multi-dimensional characterization of clay-hosted pore networks of shale using FIBSEM, TEM, and X-ray micro-tomography: Implications for methane storage and migration
URI https://dx.doi.org/10.1016/j.clay.2021.106239
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