Phase behavior of reservoir fluids III: Molecular lumping and characterization

Huang, S.H.; Radosz, Maciej

doi:10.1016/0378-3812(91)85044-u

Cited by 18 publications

(12 citation statements)

References 6 publications

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“…The mole distribution of plus fraction is calculated by the developed method, the critical properties calculated by Ahmed, and acentric factor calculated by Edimister . The Whitson's lumping scheme is used to lump the SCN, and the critical properties and acentric factor of each MCN are calculated by Hong's mixing rules . The petroleum fluids including tank oil and reservoirs oil are obtained from different areas.…”

Section: Resultsmentioning

confidence: 99%

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Improved characterization of the plus fraction for wax precipitation from petroleum fluids

Wang

Duan

Liu

et al. 2013

Asia-Pacific J Chem Eng

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Wax formation is a serious problem in the gas and oil industry because it can block oil production facilities and transportation pipelines. It is, therefore, of great importance to have a reliable tool to predict wax formation under various operational conditions. The hydrocarbon plus fractions that comprise a significant portion of naturally occurring hydrocarbon fluids create major problems when determining the thermodynamic properties and the volumetric behavior of these fluids by equations of state. In this work, an effort has been made to further improve the characterization of the plus fraction, splitting the plus fraction into a single carbon number (SCN) and generating the mole fraction, on the basis of the relationship between the three-parameter gamma distribution, experimental molar fraction, molecular weight, and SCN data obtained from literature and industrial contact. The three-parameter gamma distribution is used to fit the trend of the computational analysis. The method has been used to predict wax appearance temperatures (WATs) for a great number of systems and to compare with some methods generated previously. The average deviation of the calculated WAT is 1.47 K for the system with the experimental data. There are some correlations generated to calculate the physical-chemical properties as a function of SCN. Those correlations have been originally developed to work with light oil. The developed approach, along with some of the correlations, is tested for calculating WAT to identify the applicability in this work.

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Section: Resultsmentioning

confidence: 99%

“…Huang and Radosz proposed a characterization procedure for plus fractions. A Gaussian distribution function was used to split the plus fraction into SCN, considering that the no uniform lumping is more efficient.…”

Section: Introductionmentioning

confidence: 99%

Improved characterization of the plus fraction for wax precipitation from petroleum fluids

Wang

Duan

Liu

et al. 2013

Asia-Pacific J Chem Eng

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“…They proposed a marching technique to calculate the molar distribution of SCN groups employing two correlations for molecular weight and specific gravity of C n+ in terms of n . In another study conducted by Huang and Radosz, a Gaussian distribution function was proposed for splitting plus fractions into SCN groups. Whitson et al used a gamma distribution function to describe the relationship between the mole fraction and molecular weight of pseudo‐components of a plus fraction.…”

Section: Introductionmentioning

confidence: 99%

Optimal distribution function determination for plus fraction splitting

2019

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Reservoir fluid modelling is one of the most important steps in reservoir simulation and modelling of flow lines as well as surface facilities. One of the most uncertain parameters of the reservoir fluids is the plus fraction. An accurate and consistent splitting scheme can reduce this uncertainty and as a result, enhance the modelling of reservoir fluids. The existing schemes for splitting plus fractions are all based on assuming a specific mole fraction-molecular weight distribution with predefined constant values that may yield inaccurate and inconsistent results. In this study, an optimization-based algorithm was developed to determine the aforementioned controlling parameters of the plus fraction distribution function, enforcing the relationship between specific gravity and molecular weight of the single carbon numbers (SCNs). The introduced optimizationbased splitting technique was applied to different samples, covering a wide range of reservoir fluids, including gas condensates, volatile oils, black oils, and heavy oils. The results showed that the proposed technique yielded a more consistent molecular weight-mole fraction distribution concerning the experimental extended analysis of plus fractions, yielding an average relative error of 25.8 % compared to 76, 33.6, and 45.9 % for the Katz, Ahmed, and Whitson methods, respectively. It was also shown that the proposed method results in more accurate and more consistent phase behaviour predictions than the existing methods concerning the experimental data. Furthermore, the results showed that the introduced optimization-based method yields monotonic split samples regarding specific gravity and molecular weight, while the conventional techniques do not guarantee to preserve the monotonicity.

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“…The molar fraction distribution functions of continuous mixtures are usually described by wellknown distribution functions from the literature, such as gamma, beta or exponential distributions (Huang and Radosz, 1991;Whitson and Brule, 2000). Then, the parameters of these distributions are estimated in order to adjust the probability density distribution function to the mixture properties.…”

Section: Introductionmentioning

confidence: 99%