LAPSE:2023.6400
Published Article

LAPSE:2023.6400
An Improved Correlation of Compressibility Factor Prediction of Variable CO2-Content Condensate Gases
February 23, 2023
Abstract
The injection of carbon dioxide (CO2) into gas reservoirs has become an important way to enhance gas recovery and reduce CO2 emissions. Large discrepancies are observed when predicting natural gas compressibility factors with high CO2 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 CO2 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 CO2 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 CO2 contents.
The injection of carbon dioxide (CO2) into gas reservoirs has become an important way to enhance gas recovery and reduce CO2 emissions. Large discrepancies are observed when predicting natural gas compressibility factors with high CO2 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 CO2 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 CO2 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 CO2 contents.
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Keywords
Carbon Dioxide, compressibility factor, condensate gas
Subject
Suggested Citation
Wang C, Jia A, Guo Z, Huang S, Shi X, Cui F. An Improved Correlation of Compressibility Factor Prediction of Variable CO2-Content Condensate Gases. (2023). LAPSE:2023.6400
Author Affiliations
Wang C: Research Institute of Petroleum Exploration and Development, No. 20 Xueyuan Road, Haidian District, Beijing 100083, China [ORCID]
Jia A: Research Institute of Petroleum Exploration and Development, No. 20 Xueyuan Road, Haidian District, Beijing 100083, China
Guo Z: Research Institute of Petroleum Exploration and Development, No. 20 Xueyuan Road, Haidian District, Beijing 100083, China
Huang S: Research Institute of Petroleum Exploration and Development, No. 20 Xueyuan Road, Haidian District, Beijing 100083, China
Shi X: Research Institute of Petroleum Exploration and Development, No. 20 Xueyuan Road, Haidian District, Beijing 100083, China
Cui F: China Southern Petroleum Exploration & Development Corporation, No. 18 Jinlian Road, Longhua District, Haikou 570216, China
Jia A: Research Institute of Petroleum Exploration and Development, No. 20 Xueyuan Road, Haidian District, Beijing 100083, China
Guo Z: Research Institute of Petroleum Exploration and Development, No. 20 Xueyuan Road, Haidian District, Beijing 100083, China
Huang S: Research Institute of Petroleum Exploration and Development, No. 20 Xueyuan Road, Haidian District, Beijing 100083, China
Shi X: Research Institute of Petroleum Exploration and Development, No. 20 Xueyuan Road, Haidian District, Beijing 100083, China
Cui F: China Southern Petroleum Exploration & Development Corporation, No. 18 Jinlian Road, Longhua District, Haikou 570216, China
Journal Name
Energies
Volume
16
Issue
1
First Page
105
Year
2022
Publication Date
2022-12-22
ISSN
1996-1073
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Original Submission
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PII: en16010105, Publication Type: Journal Article
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LAPSE:2023.6400
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https://doi.org/10.3390/en16010105
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Feb 23, 2023
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