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Hierarchical integration of porosity in shales

Pore characterization in shales is challenging owing to the wide range of pore sizes and types present. Haynesville-Bossier shale (USA) was sampled as a typical clay-bearing siliceous, organic-rich, gas-mature shale and characterized over pore diameters ranging 2 nm to 3000 nm. Three advanced imagin...

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Autores principales: Ma, Lin, Slater, Thomas, Dowey, Patrick J., Yue, Sheng, Rutter, Ernest H., Taylor, Kevin G., Lee, Peter D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6076238/
https://www.ncbi.nlm.nih.gov/pubmed/30076389
http://dx.doi.org/10.1038/s41598-018-30153-x
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author Ma, Lin
Slater, Thomas
Dowey, Patrick J.
Yue, Sheng
Rutter, Ernest H.
Taylor, Kevin G.
Lee, Peter D.
author_facet Ma, Lin
Slater, Thomas
Dowey, Patrick J.
Yue, Sheng
Rutter, Ernest H.
Taylor, Kevin G.
Lee, Peter D.
author_sort Ma, Lin
collection PubMed
description Pore characterization in shales is challenging owing to the wide range of pore sizes and types present. Haynesville-Bossier shale (USA) was sampled as a typical clay-bearing siliceous, organic-rich, gas-mature shale and characterized over pore diameters ranging 2 nm to 3000 nm. Three advanced imaging techniques were utilized correlatively, including the application of Xe(+) plasma focused ion beam scanning electron microscopy (plasma FIB or PFIB), complemented by the Ga(+) FIB method which is now frequently used to characterise porosity and organic/inorganic phases, together with transmission electron microscope tomography of the nano-scale pores (voxel size 0.6 nm; resolution 1–2 nm). The three pore-size scales each contribute differently to the pore network. Those <10 nm (greatest number), 10 nm to 100 nm (best-connected hence controls transport properties), and >100 nm (greatest total volume hence determines fluid storativity). Four distinct pore types were found: intra-organic, organic-mineral interface, inter-mineral and intra-mineral pores were recognized, with characteristic geometries. The whole pore network comprises a globally-connected system between phyllosilicate mineral grains (diameter: 6–50 nm), and locally-clustered connected pores within porous organic matter (diameter: 200–800 nm). Integrated predictions of pore geometry, connectivity, and roles in controlling petrophysical properties were verified through experimental permeability measurements.
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spelling pubmed-60762382018-08-07 Hierarchical integration of porosity in shales Ma, Lin Slater, Thomas Dowey, Patrick J. Yue, Sheng Rutter, Ernest H. Taylor, Kevin G. Lee, Peter D. Sci Rep Article Pore characterization in shales is challenging owing to the wide range of pore sizes and types present. Haynesville-Bossier shale (USA) was sampled as a typical clay-bearing siliceous, organic-rich, gas-mature shale and characterized over pore diameters ranging 2 nm to 3000 nm. Three advanced imaging techniques were utilized correlatively, including the application of Xe(+) plasma focused ion beam scanning electron microscopy (plasma FIB or PFIB), complemented by the Ga(+) FIB method which is now frequently used to characterise porosity and organic/inorganic phases, together with transmission electron microscope tomography of the nano-scale pores (voxel size 0.6 nm; resolution 1–2 nm). The three pore-size scales each contribute differently to the pore network. Those <10 nm (greatest number), 10 nm to 100 nm (best-connected hence controls transport properties), and >100 nm (greatest total volume hence determines fluid storativity). Four distinct pore types were found: intra-organic, organic-mineral interface, inter-mineral and intra-mineral pores were recognized, with characteristic geometries. The whole pore network comprises a globally-connected system between phyllosilicate mineral grains (diameter: 6–50 nm), and locally-clustered connected pores within porous organic matter (diameter: 200–800 nm). Integrated predictions of pore geometry, connectivity, and roles in controlling petrophysical properties were verified through experimental permeability measurements. Nature Publishing Group UK 2018-08-03 /pmc/articles/PMC6076238/ /pubmed/30076389 http://dx.doi.org/10.1038/s41598-018-30153-x Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Ma, Lin
Slater, Thomas
Dowey, Patrick J.
Yue, Sheng
Rutter, Ernest H.
Taylor, Kevin G.
Lee, Peter D.
Hierarchical integration of porosity in shales
title Hierarchical integration of porosity in shales
title_full Hierarchical integration of porosity in shales
title_fullStr Hierarchical integration of porosity in shales
title_full_unstemmed Hierarchical integration of porosity in shales
title_short Hierarchical integration of porosity in shales
title_sort hierarchical integration of porosity in shales
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6076238/
https://www.ncbi.nlm.nih.gov/pubmed/30076389
http://dx.doi.org/10.1038/s41598-018-30153-x
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