An accurate empirical correlation for predicting natural gas compressibility factors

Sanjari, Ehsan; Lay, Ebrahim Nemati

doi:10.1016/s1003-9953(11)60352-6

Cited by 47 publications

(31 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…14 and 16 (and by extension Eq. 17) are better at predicting the values of the z-factor than those of Sanjari and Lay (2012) and Azizi et al (2010). Since these functions have no point of discontinuity, they can be used in applications where the derivative of the z-factor with respect to its independent variables is required.…”

Section: Linearized Z-factor Isothermsmentioning

confidence: 99%

“…9). While Sanjari and Lay (2012) and Azizi et al (2010) show marked deviations from the unit line, Heidaryan et al (2010) and Eqs. 14 and 16 fall on the unit line.…”

Section: Linearized Z-factor Isothermsmentioning

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%

“…Using 5844 data points, Sanjari and Lay (2012) developed an explicit correlation for the z-factor. 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).…”

Section: Sanjari and Nemati's Correlationmentioning

confidence: 99%

“…Plots of the z-factors generated using the three most recent explicit correlations (Sanjari and Lay 2012;Heidaryan et al 2010;Azizi et al 2010) were compared with those generated using Eqs. 14 and 16 (Fig.…”

Section: Linearized Z-factor Isothermsmentioning

confidence: 99%

See 4 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

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.

show abstract

Section: Linearized Z-factor Isothermsmentioning

confidence: 99%

“…9). While Sanjari and Lay (2012) and Azizi et al (2010) show marked deviations from the unit line, Heidaryan et al (2010) and Eqs. 14 and 16 fall on the unit line.…”

Section: Linearized Z-factor Isothermsmentioning

confidence: 99%

Section: Explicit Correlationsmentioning

confidence: 99%

Section: Sanjari and Nemati's Correlationmentioning

confidence: 99%

Section: Linearized Z-factor Isothermsmentioning

confidence: 99%

See 3 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

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

View full text Add to dashboard Cite

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.

show abstract

The Fitness Function of Gas Allocation Optimization

Khamehchi

Mahdiani

2017

SpringerBriefs in Petroleum Geoscience &Amp; Engineering

View full text Add to dashboard Cite

An accurate empirical correlation for predicting natural gas compressibility factors

Cited by 47 publications

References 30 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 model for estimating the gas compressibility factor using Group Method of Data Handling algorithm (case study)

The Fitness Function of Gas Allocation Optimization

Contact Info

Product

Resources

About