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• W1445588842 abstract "Abstract The severe worldwide oil and gas demand is causing the petroleum exploration and production industry to search for challenging energy resources. Moreover, the increasing interest in natural gas has provided an opportunity for the development, research and advancement of technology to access unconventional reservoirs such as sour gas. Although many natural gases containing CO2 and H2S have been discovered, reliable experimental data on the thermodynamic properties of these gases are very rare. There is practically no data existing on sour gas containing H2S because of its toxicity. This lack of information obviously affects estimations of transport properties such as viscosity. This study focuses on the estimation of sour gas properties such as gas compressibility and viscosity and evaluates the impact of viscosity, particularly on reservoir inflow performance and production forecasting. The well-known and industry-standard methods such as the Peng–Robinson (PR) and Soave-Redlich-Kwong (SRK) equations of state, the Dranchuk-Abu Kassem correlation with the Wichert-Aziz correction for non-hydrocarbons, and the GERG-2008 (Gas European Gas Research Group) equation of state were tested for compressibility estimation. For gas viscosity, several other methods, such as the model developed by the National Institute of Standards and Technology (NIST) and methods developed by Lohrenz, Bray and Clark; Pedersen et al.; Carr, Kobayashi and Burrows; Lee, Gonzalez and Eakin; Dean and Stiel; and Lucas, have been tested for gas viscosity estimation. Evaluations using these methods have been achieved with several compositions of gas samples at different pressures and temperatures. The results indicate that all of the methods provide acceptable estimations of gas density. However, all of the viscosity methods revealed deviations for all gases, particularly at high pressures and temperatures (HPHT). The margin of error was even greater for sour gases containing significant amounts of H2S. The results of the inflow performance relationship based on various methods of viscosity estimation show that the uncertainty in the estimated gas viscosities has a major effect on reservoir performance and production forecasting." @default.
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• W1445588842 date "2015-09-01" @default.
• W1445588842 modified "2023-09-26" @default.
• W1445588842 title "Uncertainty in sour gas viscosity estimation and its impact on inflow performance and production forecasting" @default.
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• W1445588842 doi "https://doi.org/10.1016/j.jngse.2015.07.041" @default.
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