Petroleum Reservoir Evaluation and Development >

2024 , Vol. 14 >Issue 1: 35 - 41

DOI: https://doi.org/10.13809/j.cnki.cn32-1825/te.2024.01.005

Methodological Theory

Optimal prediction method for CO2 solubility in saline aquifers

  • Lifei DONG ,
  • Wenzhuo DONG ,
  • Qi ZHANG ,
  • Pinzhi ZHONG ,
  • Miao WANG ,
  • Bo YU ,
  • Haiyu WEI ,
  • Chao YANG
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  • 1. Chongqing Three Gorges University, Chongqing 404120, China
    2. Key Laboratory of Geological Hazards on Three Gorges Reservoir Area（China Three Gorges University）, Ministry of Education, Yichang, Hubei 443002, China

Received date: 2023-04-03

  Online published: 2024-03-05

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Abstract

CO2 solubility in saline aquifer is an important parameter for estimating the volume of CO2 that can be dissolved and stored underground. To rapidly and economically evaluate and analyze the solubility of CO2 in saline aquifers, a study was conducted using grey GM（1,1） modeling based on existing data of CO2 solubility in water under various temperatures, pressures, and salinities. By using Markov theory, the state interval was divided, the state transition probability matrix was constructed, and the prediction results were revised. A prediction model of CO2 solubility in saline aquifer based on grey Markov theory was proposed. The results showed that the average relative errors between the predicted values of the grey Markov theory and the measured values were 1.52%、17.73%、0.21% and 3.97%, respectively. The average relative errors between the prediction results of the gray GM（1,1） model were 2.37%、19.29%、3.62% and 3.94%, respectively. The predicted values of the grey Markov model were more consistent with the measured data, and the prediction performance of the model was better, so as to provide a new method for predicting the solubility of CO2 in underground salt water.

Key words： CO2 solubility; saline aquifers; dissolution; Markov theory; grey GM（1,1） model; forecast method

Cite this article

Lifei DONG , Wenzhuo DONG , Qi ZHANG , Pinzhi ZHONG , Miao WANG , Bo YU , Haiyu WEI , Chao YANG . Optimal prediction method for CO2 solubility in saline aquifers[J]. Petroleum Reservoir Evaluation and Development, 2024 , 14(1) : 35 -41 . DOI: 10.13809/j.cnki.cn32-1825/te.2024.01.005

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