首页|Evolution of pore systems in low-maturity oil shales during thermal upgrading-Quantified by dynamic SEM and machine learning

Evolution of pore systems in low-maturity oil shales during thermal upgrading-Quantified by dynamic SEM and machine learning

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In-situ upgrading by heating is feasible for low-maturity shale oil,where the pore space dynamically evolves.We characterize this response for a heated substrate concurrently imaged by SEM.We sys-tematically follow the evolution of pore quantity,size(length,width and cross-sectional area),orien-tation,shape(aspect ratio,roundness and solidity)and their anisotropy-interpreted by machine learning.Results indicate that heating generates new pores in both organic matter and inorganic min-erals.However,the newly formed pores are smaller than the original pores and thus reduce average lengths and widths of the bedding-parallel pore system.Conversely,the average pore lengths and widths are increased in the bedding-perpendicular direction.Besides,heating increases the cross-sectional area of pores in low-maturity oil shales,where this growth tendency fluctuates at<300 ℃ but becomes steady at>300 ℃.In addition,the orientation and shape of the newly-formed heating-induced pores follow the habit of the original pores and follow the initial probability distributions of pore orientation and shape.Herein,limited anisotropy is detected in pore direction and shape,indicating similar modes of evolution both bedding-parallel and bedding-normal.We propose a straightforward but robust model to describe evolution of pore system in low-maturity oil shales during heating.

Low-maturity oil shalePore elongationOrganic matter pyrolysisIn-situ thermal upgradingScanning electron microscopy(SEM)Machine learning

Jun Liu、Xue Bai、Derek Elsworth

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Key Laboratory of Deep Underground Science and Engineering(Ministry of Education),Institute of New Energy and Low-Carbon Technology,Sichuan University,Chengdu,610065,Sichuan,China

International Quantum Academy,Shenzhen,518048,Guangdong,China

Shenzhen Institute of Advanced Electronic Materials,Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,518055,Guangdong China

Department of Energy and Mineral Engineering,Pennsylvania State University,University Park,PA 16802,USA

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National Key Research and Development Program of ChinaNational Natural Science Foundation of China

2022YFE012980042202204

2024

石油科学(英文版)
中国石油大学(北京)

石油科学(英文版)

EI
影响因子:0.88
ISSN:1672-5107
年,卷(期):2024.21(3)