An Improved Correlation of Compressibility Factor Prediction of Variable CO2-Content Condensate Gases

The injection of carbon dioxide (CO2) into gas reservoirs has become an important way to enhance recovery and reduce CO2 emissions. Large discrepancies are observed when predicting natural compressibility factors with high content by several well-known empirical correlations. An explicit correlation is proposed improve the prediction accuracy in estimation on condensate gases variable contents. analysis results carried out basis 202 experimental data from 9 various mixtures gases. show that relative deviations predicted conventional correlations increase mole fraction average error 8%. new method less than 4%. effect estimations dynamic reserves studied factor causes a 3% reduction estimation. fewer uncertainties more accurate other involve iterative process calculating