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Profound connotations of parameters on the geometric anisotropy of pores in which oil store and flow: A new detailed case study which aimed to dissect, conclude and improve the theoretical meaning and practicability of “Umbrella Deconstruction” method furtherly

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  • Du, Shuheng

Abstract

“Umbrella Deconstruction” method has already been raised in a set of published papers accomplished by the author of this study and his collaborators. This method aimed to unlock the “black box” of the anisotropic pores, elements and minerals of reservoirs from a new perspective. Compared with all the previous case studies, the purpose of this study is to investigate the profound connotations and special significance of the geometric parameters describing the pores in the study of “Umbrella Deconstruction” method furtherly.

Suggested Citation

  • Du, Shuheng, 2020. "Profound connotations of parameters on the geometric anisotropy of pores in which oil store and flow: A new detailed case study which aimed to dissect, conclude and improve the theoretical meaning and," Energy, Elsevier, vol. 211(C).
    • Handle: RePEc:eee:energy:v:211:y:2020:i:c:s0360544220317382
    DOI: 10.1016/j.energy.2020.118630
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    References listed on IDEAS

    as
    1. Du, Shuheng & Shi, Yongmin & Zheng, Xiaojiao & Chai, Guangsheng, 2020. "Using “Umbrella Deconstruction & Energy Dispersive Spectrometer (UD-EDS)” technique to quantify the anisotropic elements distribution of "Chang 7" shale and its significance," Energy, Elsevier, vol. 191(C).
    2. Azadeh, A. & Tarverdian, S., 2007. "Integration of genetic algorithm, computer simulation and design of experiments for forecasting electrical energy consumption," Energy Policy, Elsevier, vol. 35(10), pages 5229-5241, October.
    3. Gunde, Akshay C. & Bera, Bijoyendra & Mitra, Sushanta K., 2010. "Investigation of water and CO2 (carbon dioxide) flooding using micro-CT (micro-computed tomography) images of Berea sandstone core using finite element simulations," Energy, Elsevier, vol. 35(12), pages 5209-5216.
    4. Saif, Tarik & Lin, Qingyang & Butcher, Alan R. & Bijeljic, Branko & Blunt, Martin J., 2017. "Multi-scale multi-dimensional microstructure imaging of oil shale pyrolysis using X-ray micro-tomography, automated ultra-high resolution SEM, MAPS Mineralogy and FIB-SEM," Applied Energy, Elsevier, vol. 202(C), pages 628-647.
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    Cited by:

    1. Sun, Fuqiang & Du, Shuheng & Zhao, Ya-Pu, 2022. "Fluctuation of fracturing curves indicates in-situ brittleness and reservoir fracturing characteristics in unconventional energy exploitation," Energy, Elsevier, vol. 252(C).

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