AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Powered by AMiner. Clicking this button will take you away from SciOpen.
Home Advances in Geo-Energy Research Article
PDF (1.4 MB)
Cite
EndNote(RIS) BibTeX
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Original Article | Open Access

A study of correlation between permeability and pore space based on dilation operation

Wenshu Zha1, Shu Yan2, Daolun Li1( ), Detang Lu3
School of Mathematics, Hefei University of Technology, Hefei 230009, P. R. China
Daqing Well Logging Technology Service Company, Daqing 163453, P. R. China
School of Engineering, University of Science and Technology of China, Hefei 230026, P. R. China
Show Author Information

Abstract

CO 2 and fracturing liquid injection into tight and shale gas reservoirs induces reactivity between minerals and injected materials, which results in porosity change and thus permeability change. In this paper, the dilation operation is used to simulate the change of the porosity and the corresponding change of permeability based on Lattice-Boltzmann is studied. Firstly we obtain digital images of a real core from CT experiment. Secondly the pore space of digital cores is expanded by dilation operation which is one of basic mathematical morphologies. Thirdly, the distribution of pore bodies and pore throats is obtained from the pore network modeling extracted by maximal ball method. Finally, the correlation between network modeling parameters and permeabilities is analyzed. The result is that the throat change leads to exponential change of permeability and that the big throats significantly influence permeability.

Keywords

Permeabilitypore space changedilation operationpore network modelmicroscopic percolation.

References

 
Al-Kharusi, A.S., Blunt, M.J. Network extraction from sandstone and carbonate pore space images. J. Pet. Sci. Eng. 2007, 56(4): 219-231.
Crossref Google Scholar
 
Bakke, S., Øren, P. 3-D pore-scale modelling of sandstones and flow simulations in the pore networks. SPE J. 1997, 2(2): 136-149.
Crossref Google Scholar
 
Blunt, M., King, P. Macroscopic parameters from simulations of pore scale flow. Phys. Rev. A 1990, 42(8): 4780.
Crossref Google Scholar
 
Blunt, M.J., Jackson, M.D., Piri, M., et al. Detailed physics, predictive capabilities and macroscopic consequences for pore-network models of multiphase flow. Adv. Water Resour. 2002, 25(8): 1069-1089.
Crossref Google Scholar
 
Czernichowski-Lauriol, I., Rochelle, C., Gaus, I., et al. Geochemical interactions between CO2, pore-waters and reservoir rocks. Advances in the Geological Storage of Carbon Dioxide 2006, 65 157-174.
Crossref Google Scholar
 
Dixit, A.B., McDougall, S.R., Sorbie, K.S. A pore-level investigation of relative permeability hysteresis in water-wet systems. SPE J. 1998, 3(2): 115-123.
Crossref Google Scholar
 
Dong, H., Blunt, M.J. Pore-network extraction from micro-computerized-tomography images. Phys. Rev. E 2009, 80(3): 36307.
Crossref Google Scholar
 
Jessen, K., Kovscek, A.R., Orr, F.M. Increasing CO2 storage in oil recovery. Energy Convers. Manag. 2005, 46(2): 293-311.
Crossref Google Scholar
 
Li, D., Zha, W., Liu, S., et al. Pressure transient analysis of low permeability reservoir with pseudo threshold pressure gradient. J. Pet. Sci. Eng. 2016a, 147: 308-316.
Crossref Google Scholar
 
Li, D., Zhang, L., Wang, J.Y., et al. Composition-Transient analysis in shale-gas reservoirs with consideration of multicomponent adsorption. SPE J. 2016b, 21(2): 648-664.
Crossref Google Scholar
 
Liang, Z.R., Fernandes, C.P., Magnani, F.S., et al. A reconstruction technique for three-dimensional porous media using image analysis and Fourier transforms. J. Pet. Sci. Eng. 1998, 21(3): 273-283.
Crossref Google Scholar
 
Lindquist, W.B., Lee, S.M., Coker, D.A., et al. Medial axis analysis of void structure in three-dimensional tomographic images of porous media. J. Geophys. Res. 1996, 101(B4): 8297-8310.
Crossref Google Scholar
 
Okabe, H., Blunt, M.J. Pore space reconstruction using multiple-point statistics. J. Pet. Sci. Eng. 2005, 46(1): 121-137.
Crossref Google Scholar
 
Øren, P., Bakke, S. Process based reconstruction of sandstones and prediction of transport properties. Transp. Porous Media 2002, 46(2): 311-343.
Crossref Google Scholar
 
Silin, D., Patzek, T. Pore space morphology analysis using maximal inscribed spheres. Phys. A 2006, 371(2): 336-360.
Crossref Google Scholar
 
Zhang, T., Li, D., Lu, D., et al. Research on the reconstruction method of porous media using multiple-point geostatistics. Sci. China Phys. Mech. Astron. 2010, 53(1): 122-134.
Crossref Google Scholar
 
Zhang, T., Li, D., Yang, J., et al. A study of the effect of pore characteristic on permeability with a pore network model. Pet. Sci. Technol. 2013, 31(17): 1790-1796.
Crossref Google Scholar
Advances in Geo-Energy Research
Volume 1 Issue 2,
September 2017
Pages 93-99
DOI: 10.26804/ager.2017.02.04
Cite this article:
Zha W, Yan S, Li D, et al. A study of correlation between permeability and pore space based on dilation operation. Advances in Geo-Energy Research, 2017, 1(2): 93-99. https://doi.org/10.26804/ager.2017.02.04

606

Views

60

Downloads

9

Crossref

0

Web of Science

12

Scopus

Altmetrics
Received: 06 July 2017
Revised: 10 August 2017
Accepted: 14 August 2017
Published: 25 September 2017
© The Author(s) 2017

Published with open access at Ausasia Science and Technology Press on behalf of Division of Porous Flow, Hubei Province Society of Rock Mechanics and Engineering.

This article is distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC-ND) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Return