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Original Paper | Open Access

Acid-rock reaction kinetics in a two-scale model based on reaction order correction

Xue-Song Lia, Ning Qia,b( ), Ze-Hui Zhanga, Lian Liuc, Xia-Qing Lid, Xu-Hang Sua
School of Petroleum Engineering, China University of Petroleum (East China), Qingdao, 266580, Shandong, China
Key Lab of Unconventional Oil & Gas Development, Ministry of Education, China University of Petroleum (East China), Qingdao, 266580, Shandong, China
SINOPEC Northwest Oilfield Branch Company, Urumqi, 830011, Xinjiang, China
Petroleum Engineering Technology Research Institute, SINOPEC Shengli Oilfield Company, Dongying, 257000, Shandong, China

Edited by Jia-Jia Fei and Min Li

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Abstract

The reaction order plays a crucial role in evaluating the response rate of acid-rock. However, the conventional two-scale model typically assumes that the reaction order is constant as one, which can lead to significant deviations from reality. To address this issue, this study proposes a novel multi-order dynamic model for acid-rock reaction by combining rotating disk experimental data with theoretical derivation. Through numerical simulations, this model allows for the investigation of the impact of acidification conditions on different orders of reaction, thereby providing valuable insights for on-site construction. The analysis reveals that higher response orders require higher optimal acid liquid flow rates, and lower optimal H+diffusion coefficients, and demonstrate no significant correlation with acid concentration. Consequently, it is recommended to increase the displacement and use high-viscosity acid for reservoirs with high calcite content, while reducing the displacement and using low-viscosity acid for reservoirs with high dolomite content.

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Petroleum Science
Pages 2089-2101

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Cite this article:
Li X-S, Qi N, Zhang Z-H, et al. Acid-rock reaction kinetics in a two-scale model based on reaction order correction. Petroleum Science, 2024, 21(3): 2089-2101. https://doi.org/10.1016/j.petsci.2023.11.023

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Received: 16 March 2023
Revised: 18 July 2023
Accepted: 21 November 2023
Published: 25 November 2023
© 2024 The Authors.

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