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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

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  • Saif, Tarik
  • Lin, Qingyang
  • Butcher, Alan R.
  • Bijeljic, Branko
  • Blunt, Martin J.

Abstract

The complexity of unconventional rock systems is expressed both in the compositional variance of the microstructure and the extensive heterogeneity of the pore space. Visualizing and quantifying the microstructure of oil shale before and after pyrolysis permits a more accurate determination of petrophysical properties which are important in modeling hydrocarbon production potential. We characterize the microstructural heterogeneity of oil shale using X-ray micro-tomography (µCT), automated ultra-high resolution scanning electron microscopy (SEM), MAPS Mineralogy (Modular Automated Processing System) and Focused Ion Beam Scanning Electron Microscopy (FIB-SEM). The organic-rich Eocene Green River (Mahogany zone) oil shale is characterized using a multi-scale multi-dimensional workflow both before and after pyrolysis. Observations in 2-D and 3-D and across nm-µm-mm length scales demonstrate both heterogeneity and anisotropy at every scale. Image acquisition and analysis using µCT and SEM reveal a microstructure of alternating kerogen-rich laminations interbedded with layers of fine-grained inorganic minerals. MAPS Mineralogy combined with ultrafast measurements reveal mineralogic textures dominated by dolomite, calcite, K-feldspar, quartz, pyrite and illitic clays along with their spatial distribution, augmenting conventional mineral analysis. From high resolution Backscattered electron (BSE) images, intra-organic, inter-organic-mineral, intra- and inter-mineral pores are observed with varying sizes and geometries. By using FIB milling and SEM imaging sequentially and repetitively, 3-D data sets were reconstructed. By setting 3-D gradient and marker-based watershed transforms, the organic matter, minerals and pore phases (including pore-back artifacts) were segmented and visualized and the pore-size distribution was computed. Following pyrolysis, fractures from the mm-to-µm scales were observed with preferential propagation along the kerogen-rich laminations and coalescence leading to an interconnected fracture network. The application of these techniques to worldwide oil shale deposits will allow significant insights into estimating mechanical and chemical proprieties of oil shale formations for modeling and designing oil shale pyrolysis processes.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:appene:v:202:y:2017:i:c:p:628-647
    DOI: 10.1016/j.apenergy.2017.05.039
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    11. Saif, Tarik & Lin, Qingyang & Gao, Ying & Al-Khulaifi, Yousef & Marone, Federica & Hollis, David & Blunt, Martin J. & Bijeljic, Branko, 2019. "4D in situ synchrotron X-ray tomographic microscopy and laser-based heating study of oil shale pyrolysis," Applied Energy, Elsevier, vol. 235(C), pages 1468-1475.
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    15. Zhan, Honglei & Chen, Mengxi & Zhao, Kun & Li, Yizhang & Miao, Xinyang & Ye, Haimu & Ma, Yue & Hao, Shijie & Li, Hongfang & Yue, Wenzheng, 2018. "The mechanism of the terahertz spectroscopy for oil shale detection," Energy, Elsevier, vol. 161(C), pages 46-51.
    16. Medina, Federico Javier & Jausoro, Ignacio & Floridia Addato, María Alejandra & Rodriguez, María Jimena & Tomassini, Federico González & Caneiro, Alberto, 2022. "On the evaluation of Representative Elementary Area for porosity in shale rocks by Field Emission Scanning Electron Microscopy," Energy, Elsevier, vol. 253(C).
    17. Lei, Jian & Pan, Baozhi & Guo, Yuhang & Fan, YuFei & Xue, Linfu & Deng, Sunhua & Zhang, Lihua & Ruhan, A., 2021. "A comprehensive analysis of the pyrolysis effects on oil shale pore structures at multiscale using different measurement methods," Energy, Elsevier, vol. 227(C).
    18. Bowen Ling & Hasan J. Khan & Jennifer L. Druhan & Ilenia Battiato, 2020. "Multi-Scale Microfluidics for Transport in Shale Fabric," Energies, MDPI, vol. 14(1), pages 1-23, December.
    19. Haibo Tang & Yangsheng Zhao & Zhiqin Kang & Zhaoxing Lv & Dong Yang & Kun Wang, 2022. "Investigation on the Fracture-Pore Evolution and Percolation Characteristics of Oil Shale under Different Temperatures," Energies, MDPI, vol. 15(10), pages 1-14, May.
    20. Zhiyu Li & Zhengdong Lei & Weijun Shen & Dmitriy A. Martyushev & Xinhai Hu, 2023. "A Comprehensive Review of the Oil Flow Mechanism and Numerical Simulations in Shale Oil Reservoirs," Energies, MDPI, vol. 16(8), pages 1-23, April.
    21. Lei Wang & Dong Yang & Xiang Li & Jing Zhao & Guoying Wang & Yangsheng Zhao, 2018. "Macro and Meso Characteristics of In-Situ Oil Shale Pyrolysis Using Superheated Steam," Energies, MDPI, vol. 11(9), pages 1-15, August.
    22. Kang, Zhiqin & Zhao, Yangsheng & Yang, Dong, 2020. "Review of oil shale in-situ conversion technology," Applied Energy, Elsevier, vol. 269(C).
    23. 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).

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