Technology for optimizing reservoir pressure maintenance system based on hybrid modeling
https://doi.org/10.24887/2587-7399-2019-2-30-36
Abstract
The paper presents a comparative analysis of advanced numerical hybrid optimization algorithms for solving a specific problem of increasing the efficiency of the waterflooding in a mature field (Brownfield). Via multivariate iterative calculations produced by the optimization algorithm, on the basis of the reservoir simulation model the optimal waterflooding strategy (optimal combination of well modes) is determined. This strategy maximizes the economics of the field which is expressed in the value of net present value (NPV). The optimization process in most practically significant cases is complicated by the following factors: large dimension of the solution space, high complexity of the optimized function and high computational cost of each reservoir simulation. As a result, for the allocated project time the final solution can strongly depend on the chosen optimization algorithm. Comparison of the hybrid algorithms was based on the solution of the real Brownfield waterflooding optimization problem with more than 100 active wells. In addition, these optimization algorithms were compared with algorithms that do not use hybrid modeling.Relative improvements of the objective function, NPV, were compared with respect to the number of required reservoir simulations. As a result, the set of recommendations for choosing the most effective algorithm depending on the available project time was obtained. As a result, an analysis was made of the effectiveness of hybrid optimization methods as applied to a specific optimization problem, and a set of recommendations was obtained for choosing the most efficient algorithm depending on the available project time.
About the Authors
R. R. Yaubatyrov
Gazpromneft NTC LLC
Russian Federation
Russian Federation
Saint-Petersburg
V. S. Kotezhekov
Gazpromneft NTC LLC
Russian Federation
Russian Federation
Saint-Petersburg
V. M. Babin
Gazpromneft NTC LLC
Russian Federation
Russian Federation
Saint-Petersburg
E. E. Nuzhin
Skolkovo Institute of Science and Technology
Russian Federation
Russian Federation
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Review
For citations:
Yaubatyrov R.R., Kotezhekov V.S., Babin V.M., Nuzhin E.E. Technology for optimizing reservoir pressure maintenance system based on hybrid modeling. PROneft. Professionally about Oil. 2019;(2):30-36. (In Russ.) https://doi.org/10.24887/2587-7399-2019-2-30-36
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