Мethodology for calculation of phase behavior of a natural hydrocarbon system with account of formation water mineralization
https://doi.org/10.37493/2308-4758.2025.1.5
Abstract
The development of gas condensate fields requires the prediction of phase behavior. The existing models do not consider the presence of several roots of material balance equation and water mineralization. Therefore, the aim of the work is to develop the methodology for calculation of phase state of a gas condensate mixture, considering the determination of all the roots of the material balance equation and mineralization of reservoir water. For the first time, the number of roots of the material balance equation is determined using Sturm’s theorem. The object of the study is a reservoir containing a gas condensate mixture. The paper develops the methodology for calculation of phase behavior of a multicomponent hydrocarbon system. Unlike the traditional algorithm, this methodology involves the Sechenov equation. The molar fraction of the gas phase is found using Sturm’s theorem and the algorithm of sequential division of Euclidean polynomials. The calculation results for the model object indicate that the molar fraction of the gas phase is more than 32 %. The distribution of the components over the phases is obtained. The effect of temperature, pressure, and salinity of water on the molar fraction of the gas phase has been researched. Based on calculations for the model object, it was found that the region of the two-phase state corresponds to a narrow range of reservoir pressures. As the pressure increases, the molar fraction of the gas phase decreases due to the transition of the system to a liquid state.
About the Authors
L. T. Abdrazakova
University of Tyumen
Russian Federation
Russian Federation
Leisan T. Abdrazakova – Bachelor Student of the School of Natural Sciences
Researcher ID: LXU-4539-2024
6, Volodarskogo St., Tyumen, 625003
A. Gilmanov
University of Tyumen
Russian Federation
Russian Federation
Aleksandr Ya. Gilmanov – Cand. Sci. (Phys.-Math.), Associate Professor of the Department of Modeling of Physical Processes and Systems
Scopus ID: 57205429154, Researcher ID: LXU-4884-2024
6, Volodarskogo St., Tyumen, 625003
A. P. Shevelev
University of Tyumen
Russian Federation
Russian Federation
Aleksandr P. Shevelev – Cand. Sci. (Phys.-Math.), Professor of the Department of Modeling of Physical Processes and Systems
Scopus ID: 37013734300, Researcher ID: LXU-4897-2024
6, Volodarskogo St., Tyumen, 625003
References
1. Ishmuratov TA, Khamidullina AI, Islamov RR, Khisamov AA, Abdulmyanov AR, Senina AA, Andreev AE, Opritov IG, Abdullin AF, Logashin AM. Improvement of approaches for calculating PVT properties of reservoir fluids of oil and gas, oil-gas-condensate and gas-condensate deposits on the territory of activity of RN-Purneftegaz LLC. Neftyanoe khozyay-stvo = Oil Industry. 2021;(12):92-96. (In Russ.). https://doi.org/10.24887/0028-2448-2021-12-92-96
2. Varlamov DI, Grishchenko EN, Baranova SV, Baranov AA. Case record of dual completion deployment in Vietsovpetro wells. Neftyanoe khozyaystvo = Oil Industry. 2023;(7):58-64. (In Russ.). https://doi.org/10.24887/0028-2448-2023-7-58-64
3. Petrenko NN, Bondarenko MA, Petrenko VI. Estimation of the scales of retrograde condensation in a giant gas-condensate field. Science. Innovations. Technologies. 2013;(2):99-106. (In Russ.).
4. Eikeland KM, Hansen H. Dry gas reinjection in a strong wa-terdrive gas/condensate field increases condensate recovery -case study: the Sleipner 0st Ty field, South Viking Graben, Norwegian North Sea. SPE Reservoir Evaluation and Engineering. 2009;12(2):281 -296. https://doi.org/10.2118/110309-PA
5. Brusilovsky AI. Phase transformations in the development of oil and gas fields. Moscow: Graal; 2002. 575 p. (In Russ.).
6. Dong M, Huang S, Hutchence K. Methane pressure-cycling process with horizontal wells for thin heavy-oil reservoirs. SPE Reservoir Evaluation and Engineering. 2006;9(2):154-164. https://doi.org/10.2118/88500-PA
7. Reitblat EA, Rozhina EV, Komyagin AI, Glumov DN, Oparin IA, Budko AI. Modeling properties of hydrocarbons in a reservoir with significant differentiation of oil density and viscosity. Neftyanoe khozyaystvo = Oil Industry. 2022;(8):82-85. (In Russ.). https://doi.org/10.24887/0028-2448-2022-8-82-85
8. Varavva AI, Apasov RT, Apasov GT, Vinogradov DV, Polkovnikov FI, Platonov DV, Samolovov DA. Experience in creating and maintaining well lift models of subgas zones of oil rims using the example of Novoportovskoye OGCF and Tazovskoye OGCF. In Society of Petroleum Engineers Conference paper SPE-201962-RU, Moscow, October 26-29, 2020;1-13. (In Russ.).
9. Ogbeiwi P, Stephen KD. Optimizing the value of a CO2 water-alternating-gas injection project under geological and economic uncertainties. SPE Journal. 2024;29(6):3348-3368. https://doi.org/10.2118/219458-PA
10. Fedorov K, Pospelova T, Kobyashev A, Guzhikov P, Vasiliev A, Shevelev A, Dmitriev I. Water-gas stimulation design: ways to achieve miscibility, tools and methods of analysis, efficiency assessment. In Society of Petroleum Engineers Conference paper SPE-196758-RU, Moscow, October 15-17, 2020;1-16. (In Russ.).
11. Caldas P. F. B., Kirkman G., Ungar F., Yang T. Evaluation of PVT comparisons and GOR prediction based on advanced mud gas data: a case study from Snorre field. Petrophysics. 2024;65(4):532-547. https://doi.org/10.30632/PJV65N4-2024a8
12. Yushchenko TS, Brusilovsky AI. Modeling PVT properties of natural gas condensate mixtures taking into account the presence of residual water in the reservoir. In Society of Petroleum Engineers Conference paper SPE-176728-RU, Moscow, October 26-28, 2020;1-20. (In Russ.).
13. Whitson KH, Brule MR. Phase behavior. Richardson: Society of Petroleum Engineers; 2000. 233 p.
14. Luo S, Chen F, Zhou D, Nasrabadi H. Multiscale pressure/ volume/temperature simulation of decreasing condensate/gas ratio at greater than dewpoint pressure in shale gas-condensate reservoirs. SPE Journal. 2021;26(6):4174-4186. https://doi.org/10.2118/203905-PA
15. Shirkovsky AI. Development and operation of gas and gas condensate fields. Moscow: Nedra; 1987. 309 p. (In Russ.).
16. Sutton RP. Fundamental PVT calculations for associated and gas/condensate natural-gas systems. SPE Reservoir Evaluation and Engineering. 2007;10(3):270-284. https://doi.org/10.2118/97099-PA
17. Kiselev DA, Shevelev AP, Gil'manov AYa. Adaptation of the algorithm for calculating the phase equilibrium of a multicomponent system as applied to fields with uncertainty in the initial data. Tyumen State University Herald. Physical and Mathematical Modeling. Oil, Gas, Energy. 2019;5(2):89-104. (In Russ.). https://doi.org/10.21684/2411-7978-2019-5-2-89-104
18. Hamdi H, Behmanesh H, Clarkson CR. A semianalytical approach for analysis of wells exhibiting multiphase transient linear flow: application to field data. SPE Journal. 2020;25(6):3265-3279. https://doi.org/10.2118/196164-PA
19. Potsch K, Toplack P, Gumpenberger T. A review and extension of existing consistency tests for PVT data from a laboratory. SPE Reservoir Evaluation and Engineering. 2017;20(2):269-284. https://doi.org/10.2118/183640-PA
20. Kim W, Matroshilov NO, Pechko KA, Afanasyev AA, Simonov MV. Methodology for selecting analogs of reservoir fluid PVT models and rapid estimation of PVT parameters for new assets. Neftyanoe khozyaystvo = Oil Industry. 2023;(12):36-39. (In Russ.). https://doi.org/10.24887/0028-2448-2023-12-36-39
21. Ilyasov UR, Lutfurakhmanov AG, Efimov DV, Pashali AA. Comparative analysis of the properties of hydrocarbon components and fractions in PVT modeling. Neftyanoe khozyaystvo = Oil Industry. 2020;(5):64-67. (In Russ.). https://doi.org/10.24887/0028-2448-2020-5-64-67
22. Pan H, Chen Y, Sheffield J, Chang Y-B, Zhou D. Phase-behavior modeling and flow simulation for low-temperature CO2 injection. SPE Reservoir Evaluation and Engineering. 2015;18(2):250-263. https://doi.org/10.2118/170903-PA
23. Gritsenko AI. Study of the influence of water on phase transformations of gas condensate mixtures. Gazovoe delo = Gas Business. 1964;(4):3-5. (In Russ.).
Review
For citations:
Abdrazakova L.T., Gilmanov A., Shevelev A.P. Мethodology for calculation of phase behavior of a natural hydrocarbon system with account of formation water mineralization. Science. Innovations. Technologies. 2025;(1):117-136. (In Russ.) https://doi.org/10.37493/2308-4758.2025.1.5
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