Method of determination of thermodynamic and filtration parameters for hydrodynamic compositional models

Tyumen State University Herald. Physical and Mathematical Modeling. Oil, Gas, Energy


Release:

2022. Vol. 8. № 1 (29)

Title: 
Method of determination of thermodynamic and filtration parameters for hydrodynamic compositional models


For citation: Gilmanov A. Ya., Mikhaylin I. L., Shevelev A. P. 2022. “Method of determination of thermodynamic and filtration parameters for hydrodynamic compositional models”. Tyumen State University Herald. Physical and Mathematical Modeling. Oil, Gas, Energy, vol. 8, no. 1 (29), pp. 23-39. DOI: 10.21684/2411-7978-2022-8-1-23-39

About the authors:

Alexander Ya. Gilmanov, Cand. Sci. (Phys.-Math.), Senior Lecturer, Department of Modeling of Physical Processes and Systems, School of Natural Sciences, University of Tyumen, Tyumen, Russia; a.y.gilmanov@utmn.ru; ORCID: 0000-0002-7115-1629

Ivan L. Mikhaylin, Master Student, Department of Modeling of Physical Processes and Systems, Institute of Physics and Technology, University of Tyumen; rrrrr5678@list.ru

Alexander P. Shevelev, Cand. Sci. (Phys.-Math.), Associate Professor, Professor, Department of Modeling of Physical Processes and Systems, School of Natural Sciences, University of Tyumen, Tyumen, Russia; a.p.shevelev@utmn.ru; ORCID: 0000-0003-0017-4871

Abstract:

The calculation of phase behavior is important for choosing a rational mode of development of oil and gas fields. However, solving equations of state and material balance by traditional methods is associated with difficulties: Cardano’s formula allows finding only the roots of a cubic equation, the dichotomy method requires the selection of a segment on which there is only one root. Newton’s iterative method allows finding only one root under given conditions. Another important problem in hydrodynamic simulation is the uncertainty of the relative phase permeability of oil during three-phase filtration. It is proposed for the first time to use the algorithm of sequential division of Euclidean polynomials and Sturm’s theorem to calculate phase behavior. The aim of the work is to develop a methodology for calculating phase behavior and determining the area of increased uncertainty of relative phase permeability of oil. This area is defined as a set of phase saturation values at which relative phase permeabilities of oil according to Stone 1st and 2d models differ by more than 10%.

The proposed methodology makes it possible to predict areas of metastable states. The possibility of calculating the roots of material balance equations that do not have physical meaning is excluded.

For a model three-phase system, an area of increased uncertainty of relative phase permeability of oil is determined.

It is shown that it is possible to determine all real roots of the equations. The proposed metho­dology makes it possible to refine forecast calculations for gas condensate fields.

References:

  1. Abramov S. A. 1985. “The most famous algorithm”. Kvant, no. 11, pp. 44-46. [In Russian]

  2. Brusilovskiy A. I. 2002. Phase transformations in the development of oil and gas fields. Moscow: Graal. 575 p. [In Russian]

  3. Gimatudinov Sh. K., Shirkovskiy A. I. 1982. Physics of oil and gas reservoir: textbook. 3rd edition. Moscow: Nedra. 311 p. [In Russian]

  4. Gusak A. A., Gusak G. M., Brichikova Ye. A. 1999. Handbook of Higher Mathematics. Minsk: TetraSistems. 640 p. [In Russian]

  5. Korn G. A., Korn T. M. 1968. Mathematical handbook for scientists and engineers. Translated from English by I. G. Aramanovich. Moscow: Nauka. 832 p. [In Russian]

  6. Nenashev A. V. 2010. “Convergence of the method of successive approximations in modeling nonlinear radio engineering devices. Simple iteration method”. Electronics, measuring equipment, radio engineering and communication. Reports of Tomsk State University of Control Systems and Radioelectronics, no. 2 (22), part 1, pp. 244-248. [In Russian]

  7. Ried R. C, Prausnitz J. M., Sherwood T. K. 1977. Properties of gases and liquids. Translated from English by B. I. Sokolov. 3rd edition. Leningrad: Khimiya. 592 p. [In Russian]

  8. Sokolov V. S., Kiselev D. A., Smirnov A. Yu. 2017. “Modeling of the phase equilibrium of gas condensate systems for fields with a low degree of study”. Subsoil uses the 21st century, no. 4, pp. 52-57. [In Russian]

  9. Teryokhin M. T., Fulina E. M. 2015. “Stability conditions of undisturbed motion in one critical case”. Ryazan State University Herald named after S. A. Yesenin, no. 4 (49), pp. 188-204. [In Russian]

  10. Ter-Sarkisov R. M. 1999. Development of natural gas fields. Moscow: Nedra. 660 p. [In Russian]

  11. Shirkovskiy A. I. 1987. Development and operation of gas and gas condensate fields. Moscow: Nedra. 309 p. [In Russian]

  12. Aghabozorgi S., Sohrabi M., Facanha J. 2019. “Estimation of three-phase oil relative permeability in WAG experiments”. Offshore Technology Conference Brasil (29‑31 October 2019, Rio de Janeiro, Brazil). Paper OTC-29924-MS. DOI: 10.4043/29924-MS

  13. Arigbe O. D., Oyeneyin M. B., Arana I., Ghazi M. D. 2019. “Real-time relative permeability prediction using deep learning”. Journal of Petroleum Exploration and Production Technology, vol. 9, no 2, pp. 1271-1284. DOI: 10.1007/s13202-018-0578-5

  14. Grushnikov I. 2019. “Numerical simulation of hydrocarbon mixtures mass transfer processes and flow in a reservoir rock”. SPE Russian Petroleum Technology Conference (22‑24 October 2019, Moscow, Russia). Paper SPE-197005-MS. DOI: 10.2118/197005-MS

  15. Hosseininoosheri P., Mehrabi M., Hosseini S. A., Nunez-Lopez V., Lake L. W. 2019. “Impact of relative permeability uncertainty on CO2 trapping mechanisms in a CO2-EOR process: A case study in the U.S. Gulf Coast Cranfield”. SPE Western Regional Meeting (23-26 April 2019, San Jose, California, USA). 2019. Paper SPE-195351-MS. DOI: 10.2118/195351-MS

  16. Ranaee E., Inzoli F., Riva M., Cominelli A., Guadagnini A. 2018. “Propagation to reservoir simulation of uncertainty associated with three-phase relative permeability models with hysteresis”. SPE Europec featured at 80th EAGE Conference and Exhibition (11‑14 June 2018, Copenhagen, Denmark). Paper SPE-190825-MS. DOI: 10.2118/190825-MS