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Original Paper | Open Access

Concise extraction and characterization of the pore-throat network in unconventional hydrocarbon reservoirs: A new perspective

Shu-Heng Dua,b,c ( ), Yong-Min Shic
State Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing, 100190, China
School of Engineering Science, University of Chinese Academy of Sciences, Beijing, 100049, China
School of Earth and Space Sciences, Peking University, Beijing, 100871, China

Edited by Jie Hao and Meng-Jiao Zhou

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Abstract

In this study, a new image-based method for the extraction and characterization of pore-throat network for unconventional hydrocarbon storage and exploitation is proposed. “Pore-throat solidity”, which is analogous to particle solidity, and a new method for automatic identification of pores and throats in tight sandstone oil reservoirs are introduced. Additionally, the “pore-throat combination” and “pure pore” are defined and distinguished by drawing the cumulative probability curve of the pore-throat solidity and by selecting an appropriate cutoff point. When the discrete grid set is recognized as a pore-throat combination, Legendre ellipse fitting and minimum Feret diameter are used. When the pore and throat grid sets are identified as pure pores, the pore diameter can be directly calculated. Using the new method, the analytical results for the physical parameters and pore radius agree well with most prior studies. The results comparing the maximum ball and the new model could also prove the accuracy of the latter's in micro and nano scales. The new model provides a more practical theoretical basis and a new calculation method for the rapid and accurate evaluation of the complex processes of oil migration.

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Petroleum Science
Pages 1474-1487

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Cite this article:
Du S-H, Shi Y-M. Concise extraction and characterization of the pore-throat network in unconventional hydrocarbon reservoirs: A new perspective. Petroleum Science, 2024, 21(3): 1474-1487. https://doi.org/10.1016/j.petsci.2023.12.009

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Received: 19 April 2023
Revised: 25 July 2023
Accepted: 11 December 2023
Published: 22 December 2023
© 2023 The Authors.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).