Parametric identification of the hydrodynamic model of the reservoir by the actual indicators of the event

Faktiki işlənilmə göstəricisinə əsasən layın hidrodinamik modelinin parametrik identifikasiyası
ПАРАМЕТРИЧЕСКАЯ ИДЕНТИФИКАЦИЯ ГИДРОДИНАМИЧЕСКОЙ МОДЕЛИ ПЛАСТА НА ФАКТИЧЕСКИЕ ПОКАЗАТЕЛИ РАЗРАБОТКИ
Dzhalalov G.I. Moldabayeva G.Zh. Kunayeva G.E.
2022 Oil Gas Scientific Research Project Institute

SOCAR Proceedings
2022 Issue 4 45 - 54 pp.

At the present stage of the development of the oil industry, mathematical modeling is widely used in the design and analysis of development during the entire cycle of field operation. The most laborious and difficult stage in the creation of geological and hydrodynamic models is their identification to the actual development data and resolution of uncertainties associated with the analysis of geological and physical parameters. Parametric identification is the most important procedure in the modeling process, because the degree of reliability of predictive indicators of object development depends on the quality of the results obtained at this stage. The paper presents the main methods and results of adapting the hydrodynamic model in the history of oil field development in order to use the model to calculate forecast options. When creating a geological and hydrodynamic simulation model for the selected block of the Kenkiyak deposit of Kazakhstan, geological and field data and research data on the determination of thermobaric parameters of fluids and rocks were used. To solve this problem, the Masket-Meres model of isothermal unsteady spatial filtration of reservoir fluids was adopted. The desired parameters are refined on the basis of gradient procedures using optimal control theory. The predictive problem of the feasibility of using horizontal wells to increase the oil recovery coefficient of the specified sector of the field has been solved.

Adaptation , Hydrodynamic model , Oil recovery , Oil reservoir , Phase permeability , Predictive task

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Institute of Oil and Gas Azerbaijan National Academy of Sciences, Baku, Azerbaijan
Satbayev University, Almaty, Kazakhstan
Sh. Yessenov of Caspian State University of Technologies and Engineering, Aktau, Kazakhstan

Institute of Oil and Gas Azerbaijan National Academy of Sciences
Satbayev University
Sh. Yessenov of Caspian State University of Technologies and Engineering

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