### Abstract

A well-known problem confronted with naturally occuring hydrocarbon systems is characterization of the high molecular weight fraction. The high molecular weight fraction must be split into an optimum number of pseudo-components each having a prescribed set of critical properties and interaction coefficients. Since procedures for doing this are largely empirical, typical equation of state packages must be tuned to available experimental data. In this paper, a methodology for achieving this task is described. First starting values of binary interaction parameters and critical properties are obtained. Then, a linear optimization technique (two-phase method) is adopted for non-linear applications. Tuned sets of binary interaction parameters and critical properties of pseudo-components for a cubic equation of state are generated by using experimental depletion curves.

Original language | English (US) |
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Title of host publication | Society of Petroleum Engineers of AIME, (Paper) SPE |

Publisher | Soc of Petroleum Engineers of AIME, USA SPE 16940 |

Pages | 71-80 |

Number of pages | 10 |

Volume | Pi |

State | Published - 1987 |

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### All Science Journal Classification (ASJC) codes

- Engineering(all)

### Cite this

*Society of Petroleum Engineers of AIME, (Paper) SPE*(Vol. Pi, pp. 71-80). Soc of Petroleum Engineers of AIME, USA SPE 16940.

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*Society of Petroleum Engineers of AIME, (Paper) SPE.*vol. Pi, Soc of Petroleum Engineers of AIME, USA SPE 16940, pp. 71-80.

**DETERMINATION OF INTERACTION COEFFICIENTS AND CRITICAL PROPERTIES OF HEAVY FRACTIONS FOR EQUATION OF STATE COMPUTATIONS : AN AUTOMATED ALGORITHMIC APPROACH.** / Obut, S. T.; Ertekin, T.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - DETERMINATION OF INTERACTION COEFFICIENTS AND CRITICAL PROPERTIES OF HEAVY FRACTIONS FOR EQUATION OF STATE COMPUTATIONS

T2 - AN AUTOMATED ALGORITHMIC APPROACH.

AU - Obut, S. T.

AU - Ertekin, T.

PY - 1987

Y1 - 1987

N2 - A well-known problem confronted with naturally occuring hydrocarbon systems is characterization of the high molecular weight fraction. The high molecular weight fraction must be split into an optimum number of pseudo-components each having a prescribed set of critical properties and interaction coefficients. Since procedures for doing this are largely empirical, typical equation of state packages must be tuned to available experimental data. In this paper, a methodology for achieving this task is described. First starting values of binary interaction parameters and critical properties are obtained. Then, a linear optimization technique (two-phase method) is adopted for non-linear applications. Tuned sets of binary interaction parameters and critical properties of pseudo-components for a cubic equation of state are generated by using experimental depletion curves.

AB - A well-known problem confronted with naturally occuring hydrocarbon systems is characterization of the high molecular weight fraction. The high molecular weight fraction must be split into an optimum number of pseudo-components each having a prescribed set of critical properties and interaction coefficients. Since procedures for doing this are largely empirical, typical equation of state packages must be tuned to available experimental data. In this paper, a methodology for achieving this task is described. First starting values of binary interaction parameters and critical properties are obtained. Then, a linear optimization technique (two-phase method) is adopted for non-linear applications. Tuned sets of binary interaction parameters and critical properties of pseudo-components for a cubic equation of state are generated by using experimental depletion curves.

UR - http://www.scopus.com/inward/record.url?scp=0023589607&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0023589607&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0023589607

VL - Pi

SP - 71

EP - 80

BT - Society of Petroleum Engineers of AIME, (Paper) SPE

PB - Soc of Petroleum Engineers of AIME, USA SPE 16940

ER -