Comparative analysis of the properties of hydrocarbon components and fractions in PVT modeling

UDK: 519.868:622.276.1/.4
DOI: 10.24887/0028-2448-2020-5-64-67
Key words: hydrocarbon fractions, pure components, critical properties, correlations, reference data, data of software products
Authors: U.R. Ilyasov (RN-BashNIPIneft LLC, RF, Ufa), A.G. Lutfurakhmanov (RN-BashNIPIneft LLC, RF, Ufa), D.V. Efimov (RN-BashNIPIneft LLC, RF, Ufa), A.A. Pashali (Rosneft Oil Company, RF, Moscow)

Determining the phase state of hydrocarbon mixtures based on cubic equations of state is an integral part in modeling of technological processes that accompany oilfield development. When using these equations, it is necessary to determine critical properties of each component or fraction included in the mixture. The quality of the input data in the form of correctly specified values of critical properties affects the reliability of the simulation results. The critical properties of pure components such as methane, ethane, etc. are reference data, however, the libraries of the most well-known software systems have discrepancies in critical properties values both with reference data and with each other. The properties of fractions are calculated on the basis of the use of various correlation dependencies, while there are no universal correlations for determining the properties of fractions. In this regard, it becomes necessary to compare the values of properties calculated by correlations, reference data, and software product libraries.

The article presents the results of an analysis of the critical properties of individual substances given in the reference literature, the properties of fractions calculated by correlations, as well as the values used in commercial software, in order to determine the highest quality data set. Based on conducted analysis recommendations were made on the use of certain correlations which will allow to obtain reliable results in modeling phase equilibrium and calculation of PVT properties of fluids. The results can be used to develop tools for modeling technological processes, in particular, in the RN-SIMTEP corporate software package.

References

1. Mikhaylov V.G., Volkov M.G., Khalfin R.S., An algorithm of automatic history matching of a thermal flow model of hydrocarbon systems to the laboratory data of the oil composition of Western Siberian fields (In Russ.), Problemy sbora, podgotovki i transporta nefti i nefteproduktov, 2017, no. 4(110), pp. 100–110.

2.  Brusilovskiy A.I., Fazovye prevrashcheniya pri razrabotke mestorozhdeniy nefti i gaza (Phase transformations in the oil and gas field development), Moscow: Graal' Publ., 2002, 575 p.

3. Ahmed T., A equation of state and PVT analysis. Applications for improved reservoir modeling, Elsevier, 2016, 626 p.

4. Pedersen K.S., Christinsen P.L., Shaikh J.A., Phase behavior of petroleum reservoir fluids, CRC Press, 2015, 446 p.

5. Whitson C.H., Brule M.R., Phase behavior, SPE Monograph, V. 20, Rechardson, Texas, 2000.

6. Vargaftik N.B., Spravochnik po teplofizicheskim svoystvam gazov i zhidkostey (Handbook of thermophysical properties of gases and liquids), Moscow: Nauka Publ., 1972, 721 p.

7. Abrosimov V.F.  et al., Metody rascheta teplofizicheskikh svoystv gazov i zhidkostey (Methods for calculating the thermophysical properties of gases and liquids), Moscow: Khimiya Publ., 1974, 248 p.

8. Reid R.C., Prausnitz J.M., Sherwood T.K., The properties of gases and liquids, New York: McGraw-Hill, 1977.

9. Fateev D.G., Issledovanie fazovykh perekhodov gazokondensatnykh smesey v usloviyakh anomal'no vysokogo plastovogo davleniya (Investigation of phase transitions of gas condensate mixtures under conditions of abnormally high reservoir pressure): thesis of candidate of technical science,  Tyumen, 2015.

10. Aspen HYSYS simulation basis, Aspen Technology, Inc., 2017, 527 p.

11. https://www.pvtsimnova.com/uploads/Modules/Footerbrochure/pvtsim-technical-overview-2018.pdf

12. PVTi reference manual, Schlumberger, 2010, 428 p.

13. Katz D.L, Firoozabadi A., Predicting phase behavior of condensate/Crude-oil systems using methane interaction coefficients, J. Petrol. Technol., 1978, V. 30, pp. 1649–1655.

Determining the phase state of hydrocarbon mixtures based on cubic equations of state is an integral part in modeling of technological processes that accompany oilfield development. When using these equations, it is necessary to determine critical properties of each component or fraction included in the mixture. The quality of the input data in the form of correctly specified values of critical properties affects the reliability of the simulation results. The critical properties of pure components such as methane, ethane, etc. are reference data, however, the libraries of the most well-known software systems have discrepancies in critical properties values both with reference data and with each other. The properties of fractions are calculated on the basis of the use of various correlation dependencies, while there are no universal correlations for determining the properties of fractions. In this regard, it becomes necessary to compare the values of properties calculated by correlations, reference data, and software product libraries.

The article presents the results of an analysis of the critical properties of individual substances given in the reference literature, the properties of fractions calculated by correlations, as well as the values used in commercial software, in order to determine the highest quality data set. Based on conducted analysis recommendations were made on the use of certain correlations which will allow to obtain reliable results in modeling phase equilibrium and calculation of PVT properties of fluids. The results can be used to develop tools for modeling technological processes, in particular, in the RN-SIMTEP corporate software package.

References

1. Mikhaylov V.G., Volkov M.G., Khalfin R.S., An algorithm of automatic history matching of a thermal flow model of hydrocarbon systems to the laboratory data of the oil composition of Western Siberian fields (In Russ.), Problemy sbora, podgotovki i transporta nefti i nefteproduktov, 2017, no. 4(110), pp. 100–110.

2.  Brusilovskiy A.I., Fazovye prevrashcheniya pri razrabotke mestorozhdeniy nefti i gaza (Phase transformations in the oil and gas field development), Moscow: Graal' Publ., 2002, 575 p.

3. Ahmed T., A equation of state and PVT analysis. Applications for improved reservoir modeling, Elsevier, 2016, 626 p.

4. Pedersen K.S., Christinsen P.L., Shaikh J.A., Phase behavior of petroleum reservoir fluids, CRC Press, 2015, 446 p.

5. Whitson C.H., Brule M.R., Phase behavior, SPE Monograph, V. 20, Rechardson, Texas, 2000.

6. Vargaftik N.B., Spravochnik po teplofizicheskim svoystvam gazov i zhidkostey (Handbook of thermophysical properties of gases and liquids), Moscow: Nauka Publ., 1972, 721 p.

7. Abrosimov V.F.  et al., Metody rascheta teplofizicheskikh svoystv gazov i zhidkostey (Methods for calculating the thermophysical properties of gases and liquids), Moscow: Khimiya Publ., 1974, 248 p.

8. Reid R.C., Prausnitz J.M., Sherwood T.K., The properties of gases and liquids, New York: McGraw-Hill, 1977.

9. Fateev D.G., Issledovanie fazovykh perekhodov gazokondensatnykh smesey v usloviyakh anomal'no vysokogo plastovogo davleniya (Investigation of phase transitions of gas condensate mixtures under conditions of abnormally high reservoir pressure): thesis of candidate of technical science,  Tyumen, 2015.

10. Aspen HYSYS simulation basis, Aspen Technology, Inc., 2017, 527 p.

11. https://www.pvtsimnova.com/uploads/Modules/Footerbrochure/pvtsim-technical-overview-2018.pdf

12. PVTi reference manual, Schlumberger, 2010, 428 p.

13. Katz D.L, Firoozabadi A., Predicting phase behavior of condensate/Crude-oil systems using methane interaction coefficients, J. Petrol. Technol., 1978, V. 30, pp. 1649–1655.



Attention!
To buy the complete text of article (a format - PDF) or to read the material which is in open access only the authorized visitors of the website can. .