An Improved Correlation of Compressibility Factor Prediction of Variable CO 2 -Content Condensate Gases

Chenhui Wang (), Ailin Jia, Zhi Guo, Suqi Huang, Xiaomin Shi and Feifei Cui
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Chenhui Wang: Research Institute of Petroleum Exploration and Development, No. 20 Xueyuan Road, Haidian District, Beijing 100083, China
Ailin Jia: Research Institute of Petroleum Exploration and Development, No. 20 Xueyuan Road, Haidian District, Beijing 100083, China
Zhi Guo: Research Institute of Petroleum Exploration and Development, No. 20 Xueyuan Road, Haidian District, Beijing 100083, China
Suqi Huang: Research Institute of Petroleum Exploration and Development, No. 20 Xueyuan Road, Haidian District, Beijing 100083, China
Xiaomin Shi: Research Institute of Petroleum Exploration and Development, No. 20 Xueyuan Road, Haidian District, Beijing 100083, China
Feifei Cui: China Southern Petroleum Exploration & Development Corporation, No. 18 Jinlian Road, Longhua District, Haikou 570216, China

Energies, 2022, vol. 16, issue 1, 1-14

Abstract: The injection of carbon dioxide ( CO 2 ) into gas reservoirs has become an important way to enhance gas recovery and reduce CO 2 emissions. Large discrepancies are observed when predicting natural gas compressibility factors with high CO 2 content by several well-known empirical correlations. An explicit correlation is proposed to improve the prediction accuracy in the estimation of compressibility factors on condensate gases with variable CO 2 contents. The analysis of the results is carried out on the basis of 202 experimental data from 9 various mixtures of natural gases. The results show that relative deviations of compressibility factors predicted by conventional empirical correlations increase with the increase in CO 2 mole fraction with an average error of 8%. The average error of the new method is less than 4%. The effect of compressibility factors on the estimations of dynamic reserves is studied and the compressibility factor causes a 3% reduction in dynamic reserves estimation. The proposed correlation has fewer uncertainties and more accurate results than other correlations that involve the iterative process in calculating compressibility factors of natural gases with variable CO 2 contents.

Keywords: CO 2; compressibility factor; condensate gas (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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