Multiscale Methods Application to Solve the Challenges of Field Development Optimization and Reservoir History Matching Problems

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


Release:

2016, Vol. 2. №3

Title: 
Multiscale Methods Application to Solve the Challenges of Field Development Optimization and Reservoir History Matching Problems


About the authors:

Dmitry V. Zelenin, Senior Expert, Tyumen Petroleum Research Center; eLibrary AuthorID, ORCID, dvzelenin@tnnc.rosneft.ru

Vitaly P. Kosyakov, Cand. Sci. (Phys.-Math.), Senior Researcher, Tyumen Branch of the Khristianovich Institute of Theoretical and Applied Mechanics of the Siberian Branch of the Russian Academy of Sciences; eLibrary AuthorID, Web of Science ResearcherID, hammer-rav@mail.ru

Abstract:

In the design of the development of oil fields it is often necessary to solve problems that require a large number of hydrodynamic calculations on the simulator. These problems include the problem of choosing the optimal field development system, as well as the adaptation of hydrodynamic models on the development of the story. However, when there is a large number of cells in the simulation model, the calculation is time consuming. In this connection it is necessary to use the methods allowing to speed up the calculation of the simulator. One of these methods is the multiscale method to significantly reduce the time of calculation. This article provides examples of solving the challenges of field development optimization and solving the problem of reservoir history matching using multiscale method. The problem of optimizing the development of the system was considered a complete listing of all wells destination options. Adaptation problem is solved iteratively with regularization of absolute permeability by bisection of the segment. There was found a good agreement between the results of solving problems without using multiscale method with the results of solving problems with the use of multi-scale method. The article shows that the application of multiscale method allows to reduce the time of calculation in two times.

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