Prospects for application of integrated simulation for mature fields

Introduction. Integrated simulation is a modern approach to managing oil and gas assets, which allows combining various aspects of field development into a single model. This method becomes particularly relevant at the late stages of field development when it is necessary to optimize production and maximize the efficient use of the remaining reserves. The paper discusses prospects for applying integrated simulation for mature fields.
Aim. The research is aimed at studying the prospects for application of integrated simulation for mature oil and gas fields. The main goal is to present promising methods and technologies for the development of integrated simulation as a coherent system composed of individual components, as well as the use of integrated models to optimize production, manage infrastructure, and improve economic efficiency under significant uncertainty and complications.
Materials and methods. The paper analyzes modern approaches to simulation of the integrated system “reservoir-well-surface network.” Methods of automated development and history-matching of geologic and reservoir simulation models, as well as surface infras tructure models, are used. The paper presents typical applications of these methods to identify, localize, and address technical challenges aimed at improving production management quality.
Results. Integrated models provide to optimize well operation modes, manage liquid and gas inflows, improve surface infrastructure. Examples with successful implementation of both the integrated model itself and the automation and optimization methods described in the article confirm the high efficiency and relevance of this approach.
Conclusion. Integrated modeling allows to significantly increase the accuracy of forecasts and production efficiency, however, it leads to an increase in labor costs for its creation. In order to reduce labor costs, develop post-processing of calculation results, specialists of the Modeling Center have developed optimization algorithms. The algorithms allow to optimize the stages of creating models, calculating scenarios and processing results. The experience of other companies was considered in order to outline the vector of further development of their own developments in the part of IM.

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