Risks of empirical correlations for pseudo-critical properties of natural gas


  • Yu. Zarubin




acentric factor, compressibility factor, material balance, Monte Carlo method.


There are given estimates of the influence of uncertainties when using empirical correlations for pseudocritical
characteristics of natural gas with its density on the results of estimates of gas reserves and bottomhole pressures.
Modeling on the examples of the calculation of the blowout pressure in a gas well and the creation of a material balance of
a gas deposit showed that their influence on the overall modeling error can be comparable to the contribution of instrumental
errors only with high-precision measurements of pressure and temperature. When determining the gas supercompressibility
coefficient based on the pseudocritical gas characteristics, about 70 % of the errors will be associated with the variation in the
calculation of the pseudocritical temperature.


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Zarubin, Yu, Hunda, M, Nikolaychuk, V & Mamus,

P 2020, ‘Adaptation of the material balance of a gas deposit’,

Journal of Hydrocarbon Power Engineering, vol. 7, iss. 2,

pp. 46–43.

Soave, G 1972, ‘Equilibrium constants from a

modified Redkh-Kwong equation of state’, Chemical

Engineering Science, vol. 27, pp. 1197–1203.

Standing, MB 1977, Volumetric and Phase Behavior

of Oil Field Hydrocarbon Systems, SPE 64284, Society of

Petroleum Engineers of AIME, Dallas, TX, 12 p.

Sutton, RR 1985, Compressibility factors for highmolecular

weight reservoir gases, SPE 14265, Annual

Technical Meeting and Exhibition, Las Vegas, 6 p.

Sutton, RP 2007, ‘Fundamental pVT calculations for

associated and gas/condensate natural gas systems’, SPE

Reservoir Eval. Eng, bol. 10, iss. 3, pp. 270–284.

Elsharkawy, AM & Elkamel, A 2000,

‘Compressibility Factor for Sour Gas Reservoirs’, SPE 64284

Asia Pacific Oil & Gas Conference and Exhibition (Brisbane,

Australia, 16–18 October), 13 p.

Instructions for a comprehensive study of gas and

gas condensate reservoirs and wells. Part 1. OJSC "Gazprom".

, LLC "Gazprom VNIIGAZ", Moscow, 244 p. [in


Twu, CH 1984, ‘An internally consistent correlation

for predicting the critical properties and molecular weights

of petroleum and coal-tar liquids’, Fluid Phase Equilibria,

vol. 16, pp. 137–150.

Kesler, MG & Lee, BI 1976, ‘Improve Prediction of

Enthalpy of Fractions’, Hydrocarbon Processing, March 1976,

pp. 153–158.

Riazi, MR 2005, ‘Characterization and Properties

of Petroleum Fractions’, ASTM manual series: MNl50, 425 p.

Riazi, MR & Al-Sahhaf, TA 1996, ‘Physical

Properties of Heavy Petroleum Fractions and Crude Oils’,

Fluid Phase Equilibria, Elsevier Science, 117 pp. 217–224.

Tarek, A 2006, Reservoir Engineering Handbook,

Third ed. Elsevier Inc. 1360 p.

Piper, LD, McCain, WD Jr. & Holditch, SA 1993,

‘Compressibility Factors for Naturally Occurring Petroleum

Gases’, SPE 26668, 66fh Annual Technical Conference and

Exhibition of the Society of Petroleum Engineers (Houston,

Texas, 3–6 October 1993), 9 p.

Zarubin, Yu, Hunda, M & Mamus, P 2020, ‘New

correlations for the pseudocritical parameters and the acentric

factor s of the hydrocarbon component of the dnieper-donets

petroleum basin’s natural gas’, Problems and prospects of the

oil and gas industry, vol. 4, pp. 56–90.

Zarubin, Yu, Gunda, M, Nikolaychuk, V &

Lastovetska, A 2017, ‘Risks of gas production forecasting,

using material balance equations’, Journal of Hydrocarbon

Power Engineering, vol. 4, iss. 1, pp. 8–17.




How to Cite

Zarubin, Y. . (2023). Risks of empirical correlations for pseudo-critical properties of natural gas . JOURNAL OF HYDROCARBON POWER ENGINEERING, 9(2), 27–35. https://doi.org/10.31471/2311-1399-2022-2(18)-27-35