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Short Communication | Open Access

Characterization of water micro-distribution behavior in shale nanopores: A comparison between experiment and theoretical model

State Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum, Beijing 102249, P. R. China
Research Institute of Exploration and Development, PetroChina Changqing Oilfield Company, Xi’an 710018, P. R. China
National Elite Institute of Engineering, CNPC, Beijing 100096, P. R. China
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Abstract

Due to the existence of fracturing fluid and formation water in shale gas reservoirs, the coexistence of gas and water in nanopores is prevalent. The pore water in the reservoir, on the one hand, affects gas flow behavior and permeability. On the other hand, it blocks pore throats and occupies adsorption sites on the pore surface, consequently reducing the gas adsorption capacity. The occurrence of pore water in shale reservoirs holds significant importance for shale gas resources exploration and development. In this paper, the shale from the Longmaxi Formation, Sichuan Basin was selected as the research target. The content and micro-distribution behavior of pore water were evaluated through centrifugation-nuclear magnetic resonance experiment and theoretical model. The results demonstrated that the content of free water would be underestimated by the experiment, with 2.55%-6.80% lower than that calculated by theoretical model. Moreover, due to the limitations of nuclear magnetic resonance experiment, the adsorbed water in mesopores and macropores might be mistakenly identified as that in smaller pores. As a result, the theoretical model is more applicable for characterizing the micro-distribution behavior of pore water than the origin nuclear magnetic resonance data.

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Advances in Geo-Energy Research
Pages 79-86

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Cite this article:
Jiao X, He W, Tian Z, et al. Characterization of water micro-distribution behavior in shale nanopores: A comparison between experiment and theoretical model. Advances in Geo-Energy Research, 2025, 15(1): 79-86. https://doi.org/10.46690/ager.2025.01.08

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Received: 26 October 2024
Revised: 21 November 2024
Accepted: 08 December 2024
Published: 13 December 2024
© The Author(s) 2024.

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.