Characterization of coal porosity and permeability evolution by demineralisation using image processing techniques: A micro-computed tomography study

Guanglei Zhang, P. G. Ranjith, M. S. A. Perera, Asadul Haque, Xavier Choi, K. S. M. Sampath

Research output: Contribution to journalArticleResearchpeer-review

8 Citations (Scopus)

Abstract

The permeability of coal is the key parameter both in primary and enhanced coalbed methane recovery. The natural cleat system in coal serves as the primary pathway for gas flow in coal seams though mineralisation in cleats and is known to significantly reduce coal permeability. This paper reports on a numerical simulation of the pore network evolution of coal subject to cleat demineralisation. A high-resolution micro-computed tomography scanner was used to characterize the micro-structures of three anthracite coal samples. The mineral phases available in the coal samples were selectively removed to different extents (20%, 40%, 60%, 80% and 100%) and merged into the pore space using image processing techniques. In this way, the coal demineralisation process could be simulated and its impact on porosity and permeability studied. Comprehensive pore structure characterizations, including porosity, connectivity and tortuosity, were then conducted on the reconstructed pore network using Avizo software. Pore network models were also extracted to investigate changes in the pore and throat attributes. The lattice Boltzmann method was adopted to identify the absolute permeability changes with cleat demineralisation. The results reveal that demineralisation can increase coal porosity and permeability up to a percolation threshold. Although porosity was enhanced prior to the percolation threshold, the coal permeability was not enhanced due to poor pore connectivity. The permeability changed rapidly close to the percolation threshold, depending on the degree of demineralisation, and an exponential relation was observed between permeability and the amount of demineralisation. According to the observations, complete removal of the mineral phase can significantly increase the connected porosity while reducing the pore tortuosity, resulting in several orders of magnitude increase in coal permeability. This study shows that cleat demineralisation is an effective permeability enhancement technique for coalbed methane recovery, if very high demineralisation can be achieved.

Original languageEnglish
Pages (from-to)384-396
Number of pages13
JournalJournal of Natural Gas Science and Engineering
Volume56
DOIs
Publication statusPublished - 1 Aug 2018

Keywords

  • Connectivity
  • Demineralisation
  • Lattice Boltzmann method
  • Micro-CT
  • Pore network model

Cite this

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title = "Characterization of coal porosity and permeability evolution by demineralisation using image processing techniques: A micro-computed tomography study",
abstract = "The permeability of coal is the key parameter both in primary and enhanced coalbed methane recovery. The natural cleat system in coal serves as the primary pathway for gas flow in coal seams though mineralisation in cleats and is known to significantly reduce coal permeability. This paper reports on a numerical simulation of the pore network evolution of coal subject to cleat demineralisation. A high-resolution micro-computed tomography scanner was used to characterize the micro-structures of three anthracite coal samples. The mineral phases available in the coal samples were selectively removed to different extents (20{\%}, 40{\%}, 60{\%}, 80{\%} and 100{\%}) and merged into the pore space using image processing techniques. In this way, the coal demineralisation process could be simulated and its impact on porosity and permeability studied. Comprehensive pore structure characterizations, including porosity, connectivity and tortuosity, were then conducted on the reconstructed pore network using Avizo software. Pore network models were also extracted to investigate changes in the pore and throat attributes. The lattice Boltzmann method was adopted to identify the absolute permeability changes with cleat demineralisation. The results reveal that demineralisation can increase coal porosity and permeability up to a percolation threshold. Although porosity was enhanced prior to the percolation threshold, the coal permeability was not enhanced due to poor pore connectivity. The permeability changed rapidly close to the percolation threshold, depending on the degree of demineralisation, and an exponential relation was observed between permeability and the amount of demineralisation. According to the observations, complete removal of the mineral phase can significantly increase the connected porosity while reducing the pore tortuosity, resulting in several orders of magnitude increase in coal permeability. This study shows that cleat demineralisation is an effective permeability enhancement technique for coalbed methane recovery, if very high demineralisation can be achieved.",
keywords = "Connectivity, Demineralisation, Lattice Boltzmann method, Micro-CT, Pore network model",
author = "Guanglei Zhang and Ranjith, {P. G.} and Perera, {M. S. A.} and Asadul Haque and Xavier Choi and Sampath, {K. S. M.}",
year = "2018",
month = "8",
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doi = "10.1016/j.jngse.2018.06.020",
language = "English",
volume = "56",
pages = "384--396",
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Characterization of coal porosity and permeability evolution by demineralisation using image processing techniques : A micro-computed tomography study. / Zhang, Guanglei; Ranjith, P. G.; Perera, M. S. A.; Haque, Asadul; Choi, Xavier; Sampath, K. S. M.

In: Journal of Natural Gas Science and Engineering, Vol. 56, 01.08.2018, p. 384-396.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Characterization of coal porosity and permeability evolution by demineralisation using image processing techniques

T2 - A micro-computed tomography study

AU - Zhang, Guanglei

AU - Ranjith, P. G.

AU - Perera, M. S. A.

AU - Haque, Asadul

AU - Choi, Xavier

AU - Sampath, K. S. M.

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AB - The permeability of coal is the key parameter both in primary and enhanced coalbed methane recovery. The natural cleat system in coal serves as the primary pathway for gas flow in coal seams though mineralisation in cleats and is known to significantly reduce coal permeability. This paper reports on a numerical simulation of the pore network evolution of coal subject to cleat demineralisation. A high-resolution micro-computed tomography scanner was used to characterize the micro-structures of three anthracite coal samples. The mineral phases available in the coal samples were selectively removed to different extents (20%, 40%, 60%, 80% and 100%) and merged into the pore space using image processing techniques. In this way, the coal demineralisation process could be simulated and its impact on porosity and permeability studied. Comprehensive pore structure characterizations, including porosity, connectivity and tortuosity, were then conducted on the reconstructed pore network using Avizo software. Pore network models were also extracted to investigate changes in the pore and throat attributes. The lattice Boltzmann method was adopted to identify the absolute permeability changes with cleat demineralisation. The results reveal that demineralisation can increase coal porosity and permeability up to a percolation threshold. Although porosity was enhanced prior to the percolation threshold, the coal permeability was not enhanced due to poor pore connectivity. The permeability changed rapidly close to the percolation threshold, depending on the degree of demineralisation, and an exponential relation was observed between permeability and the amount of demineralisation. According to the observations, complete removal of the mineral phase can significantly increase the connected porosity while reducing the pore tortuosity, resulting in several orders of magnitude increase in coal permeability. This study shows that cleat demineralisation is an effective permeability enhancement technique for coalbed methane recovery, if very high demineralisation can be achieved.

KW - Connectivity

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