Synthesis of pressure control laws at wells to optimize gas condensate mining

Authors

  • Maxim V. Korovkin St. Petersburg State University, 199034, St. Petersburg, Russian Federation https://orcid.org/0000-0002-2950-4048
  • Margarita V. Sotnikova St. Petersburg State University, 199034, St. Petersburg, Russian Federation
  • Natalia A. Zhabko St. Petersburg State University, 199034, St. Petersburg, Russian Federation https://orcid.org/0000-0001-7035-5219
  • Timur A. Lepikhin St. Petersburg State University, 199034, St. Petersburg, Russian Federation https://orcid.org/0000-0001-5218-8250
  • Ruslan A. Sevostyanov St. Petersburg State University, 199034, St. Petersburg, Russian Federation https://orcid.org/0000-0001-5783-6931
  • Vladimir M. Babin Nedra Digital, 4, Uralskaya ul., St. Petersburg, 199178, Russian Federation https://orcid.org/0000-0002-6279-2328
  • Azat A. Gimazov Gazpromneft Science & Technology Centre, 75–79, nab. reki Moyki, St. Petersburg, 190000, Russian Federation

DOI:

https://doi.org/10.21638/11701/spbu10.2024.107

Abstract

 The paper is devoted to the problem of optimizing gas condensate mining in the process of developing a given number of wells in a field. The essence of the problem is such a distribution of control actions, which are wells pressures, at which, for a given fixed rate of gas mixture mining, maximum gas condensate extraction is ensured at a certain planning horizon. A formalized formulation of the problem is carried out and it is shown that it reduces to a nonlinear programming problem with essentially nonlinear objective function and constraints. Two different approaches to finding the optimal solution are proposed. The first of them is based on solving the original optimization problem, and the second one — on simplifying it in order to reduce the computational costs of finding a solution. A numerical example of gas condensate mining for five wells is presented and a comparison of the obtained modeling results for these two algorithms is performed.

Keywords:

digital control, optimization, gas condensate mining, nonlinear programming

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References

Литература

Sotnikova M. V., Sevostyanov R. A. Optimal control of output variables within a given range based on a predictive model // Communications in Computer and Information Science. 2022. Vol. 1661. P. 272–285.

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References

Sotnikova M. V., Sevostyanov R. A. Optimal control of output variables within a given range based on a predictive model. Communications in Computer and Information Science, 2022, vol. 1661, pp. 272––285.

Sotnikova M. V., Sevostyanov R. A. Tsifrovoye upravleniye kontroliruyemymi peremennymi v zadannom diapazone s uchetom zapazdyvaniya [Digital control of output variables in a given range considering delay]. Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes, 2021, vol. 17, iss. 4, pp. 449–463. https://doi.org/10.21638/11701/spbu10.2021.412 (In Russian)

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Published

2024-04-16

How to Cite

Korovkin, M. V., Sotnikova, M. V., Zhabko, N. A., Lepikhin, T. A., Sevostyanov, R. A., Babin, V. M., & Gimazov, A. A. (2024). Synthesis of pressure control laws at wells to optimize gas condensate mining. Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes, 20(1), 79–90. https://doi.org/10.21638/11701/spbu10.2024.107

Issue

Vol. 20 No. 1 (2024)

Section

Control Processes

License

Articles of "Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes" are open access distributed under the terms of the License Agreement with Saint Petersburg State University, which permits to the authors unrestricted distribution and self-archiving free of charge.