Machine Learning Approaches for Compressibility Factor Prediction at High- and Low-Pressure Ranges
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-022-06905-3.pdf
Reference61 articles.
1. Elsharkawy, A.M.; Hashem, Y.S.K.S.; Alikhan, A.A.: Compressibility factor for gas condensates. Energy Fuels 15(4), 807–816 (2001). https://doi.org/10.1021/ef000216m
2. Gharbi, R.: Estimating the isothermal compressibility coefficient of undersaturated middle east crudes using neural networks. Energy Fuels 11(2), 372–378 (1997). https://doi.org/10.1021/ef960123y
3. Kimura, T.; Uematsu, M.; Watanabe, K.: Measurements of compressibility factor and vapor pressure for refrigerant 502. J. Chem. Eng. Data 26(2), 109–112 (1981). https://doi.org/10.1021/je00024a001
4. McCain, W. D. The Properties of Petroleum Fluids; Engineering, T. &, Ed.; PennWell Books, 1990.
5. Standing, M.B.; Katz, D.L.: Density of natural gases. Trans. AIME 146, 140–149 (1942)
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