A novel correlation approach for prediction of natural gas compressibility factor

Heidaryan, Ehsan; Salarabadi, Amir; Moghadasi, Jamshid

doi:10.1016/s1003-9953(09)60050-5

Cited by 85 publications

(52 citation statements)

References 6 publications

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“…This correlation, as with Heidaryan et al (2010) correlation, has different constants for the values of P pr below and above 3, but a total of 16 constants ( Table 2). The procedure for calculating the z-factor is as follows: Fig.…”

Section: Sanjari and Nemati's Correlationmentioning

confidence: 99%

“…One of the best explicit correlations for evaluation of the z-factor was given by Beggs and Brills (1973). More recent ones are Heidaryan et al (2010), Azizi et al (2010) and Sanjari and Lay (2012) correlations. A short description of some of the explicit correlations is presented in the following subsections.…”

Section: Explicit Correlationsmentioning

confidence: 99%

“…A function that is discontinuous at a certain point is not differentiable at that point (O'Neil 2012). Therefore, the explicit correlation developed by Heidaryan et al (2010) cannot be used to evaluate the derivative of the zfactor with respect to the pseudo-reduced pressure at P pr ¼ 3 (Fig. 3).…”

Section: Explicit Correlationsmentioning

confidence: 99%

“…For generalization, the z-factor is expressed as a function of pseudo-reduced temperature and pressure (Trube 1957;Dranchuk et al 1971;Abou-kassem and Dranchuk 1975;Sutton 1985;Heidaryan et al 2010). Dranchuk et al (1971) defined pseudo-reduced temperature and pressure as the ratio of temperature and pressure to the pseudo-critical temperature and pressure of natural gas, respectively:…”

Section: Introductionmentioning

confidence: 99%

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New explicit correlation for the compressibility factor of natural gas: linearized z-factor isotherms

Kareem

Iwalewa

Al-Marhoun³

2015

J Petrol Explor Prod Technol

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The compressibility factor (z-factor) of gases is a thermodynamic property used to account for the deviation of real gas behavior from that of an ideal gas. Correlations based on the equation of state are often implicit, because they require iteration and are computationally expensive. A number of explicit correlations have been derived to enhance simplicity; however, no single explicit correlation has been developed for the full range of pseudoreduced temperatures 1:05 T pr 3 À Á and pseudo-reduced pressures 0:2 P pr 15 À Á , which represents a significant research gap. This work presents a new z-factor correlation that can be expressed in linear form. On the basis of Hall and Yarborough's implicit correlation, we developed the new correlation from 5346 experimental data points extracted from 5940 data points published in the SPE natural gas reservoir engineering textbook and created a linear z-factor chart for a full range of pseudo-reduced temperatures ð1:15 T pr 3Þ and pseudo-reduced pressures ð0:2 P pr 15Þ.

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Section: Sanjari and Nemati's Correlationmentioning

confidence: 99%

Section: Explicit Correlationsmentioning

confidence: 99%

Section: Explicit Correlationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

New explicit correlation for the compressibility factor of natural gas: linearized z-factor isotherms

Kareem

Iwalewa

Al-Marhoun³

2015

J Petrol Explor Prod Technol

View full text Add to dashboard Cite

show abstract

“…For instance, when the gas mixture compositions are known, any of the equation of states (EOSs) such as van der Waals (vdW), Soave-Redlich-Kwong (SRK), Peng-Robinson (PR) can be used for the determination of Z factor and its variations. When the compositions of gas mixture are unknown, the empirical Z factor correlations such as Beggs and Brill (1973), Bahadori et al (2007) correlation, Heidaryan et al (2010) correlation, Hall andYarborough (1973) correlation andDranchuk andAbou-Kassem (1975) are widely used as routine industry practice for the determination of Z factor.…”

Section: Introductionmentioning

confidence: 99%

A new practical method to evaluate the Joule–Thomson coefficient for natural gases

Tarom

Hossain

Rohi

2017

J Petrol Explor Prod Technol

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The Joule-Thomson (JT) phenomenon, the study of fluid temperature changes for a given pressure change at constant enthalpy, has great technological and scientific importance for designing, maintenance and prediction of hydrocarbon production. The phenomenon serves vital role in many facets of hydrocarbon production, especially associated with reservoir management such as interpretation of temperature logs of production and injection well, identification of water and gas entry locations in multilayer production scenarios, modelling of thermal response of hydrocarbon reservoirs and prediction of wellbore flowing temperature profile. The purpose of this study is to develop a new method for the evaluation of JT coefficient, as an essential parameter required to account the Joule-Thomson effects while predicting the flowing temperature profile for gas production wells. To do this, a new correction factor, C NM , has been developed through numerical analysis and proposed a practical method to predict C NM which can simplify the prediction of flowing temperature for gas production wells while accounting the Joule-Thomson effect. The developed correlation and methodology were validated through an exhaustive survey which has been conducted with 20 different gas mixture samples. For each sample, the model has been run for a wide range of temperature and pressure conditions, and the model was rigorously verified by comparison of the results estimated throughout the study with the results obtained from HYSYS and Peng-Robinson equation of state. It is observed that model is very simple and robust yet can accurately predict the Joule-Thomson effect.

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A new model for estimating the gas compressibility factor using Group Method of Data Handling algorithm (case study)

Shariaty

Movaghar

Vatandoost

2019

Asia-Pacific J Chem Eng

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It is crucial to accurately determine the gas compressibility factor (z factor) in chemical and petroleum engineering calculations. Empirical correlations are one of the most rapid and convenient methods of determining the gas compressibility factor. Most of correlations have been developed based on data from Standing–Katz chart, where for high‐pressure conditions (P > 3,000 Psia), solely the data of pure methane was adopted and finally plotted. Therefore, the performance of these correlations would deteriorate for pressurized gas reservoirs. This study intends to use the adopted data of Iranian gas reservoirs (as the second largest source) to develop an empirical correlation concerning with pressurized gas reservoirs. To this end, the correlation was presented based on corresponding states model through the robust group method of data handling algorithm. In comparison with foregone studies, results suggested improvements in prediction of gas compressibility factor with the proposed correlation by up to 9% of average absolute percentage relative error, yielding the error of 1.46% against real data.

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A novel correlation approach for prediction of natural gas compressibility factor

Cited by 85 publications

References 6 publications

New explicit correlation for the compressibility factor of natural gas: linearized z-factor isotherms

New explicit correlation for the compressibility factor of natural gas: linearized z-factor isotherms

A new practical method to evaluate the Joule–Thomson coefficient for natural gases

A new model for estimating the gas compressibility factor using Group Method of Data Handling algorithm (case study)

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