Structural and parametric identification of an aquifer model for an oil reservoir.

*(English)*Zbl 1450.86001Summary: During the development modeling process of an oil reservoir, one of the most important steps is to solve the inverse problem, the solution of which, as a rule, is to select the model parameters for the best matching to the development history. However, the purpose of modeling is not only to repeat development indicators on the historical period, but also to obtain a reliable forecast of the behavior of the simulated object in the future. Therefore, from the point of view of the long-term forecast characteristics of the model, it is necessary to perform not only parameter, but also structure identification of the model. In this paper, an example of solving the problem of structure and parameter identification of an aquifer model for modeling the development of an oil reservoir is a study of predicted characteristics. It is shown that, as a result of structure and parameter identification of the model, its predictive properties can be significantly improved compared with the case of conventional parameter identification.

##### MSC:

86-08 | Computational methods for problems pertaining to geophysics |

86A22 | Inverse problems in geophysics |

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\textit{V. P. Kosyakov}, Lobachevskii J. Math. 41, No. 7, 1242--1247 (2020; Zbl 1450.86001)

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##### References:

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[2] | V. P. Kosyakov and D. Y. Legostaev, ‘‘Computational technology for solution of the reverse problem of filtration theory for oil fields with an aquifer,’’ AIP Conf. Proc.2125, 030112 (2019). |

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