Sun Lei, Zhou Fangfang, Xia Jing, et al. An improved dew point pressure model for condensate gas based on genetic algorithm[J]. Petroleum Reservoir Evaluation and Development, 2018, 8(3): 12-17.DOI:
By the experimental data of the forefathers and the dew point pressure of the gas condensate reservoirs derived from different parts of the domestic
we make an empirical correlation expression for the calculation of the dew point pressure based on the genetic algorithm(GA). This expression considers more factors than that of other existing models including the temperature
fluid compositions
molecular mass and density ratio of heavy constituent
gas-oil ratio. The calculation results are more closed to the experimental data than the previous test values. The average of the relative error
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s absolute value is 3.05 %. In order to further verify the new empirical expression
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s prediction ability
the experimental data of other 10 groups of dew point pressure are
compared with the results calculated by four models that is the N-K
Elsharkawy
Sun Zhidao
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s model and Wang Haiying
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s model. The results are relatively high in accuracy with the absolute value of 1.79 %. The absolute values of other four models are 49.53 %