title: ÐÐ¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ð¾Ð½Ð½ÑÐµ Ð¼ÐµÑÐ¾Ð´Ñ Ð² Ð·Ð°Ð´Ð°ÑÐ°Ñ Ð¸Ð½ÑÐµÐ³ÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð³Ð¾ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¼ÐµÑÑÐ¾ÑÐ¾Ð¶Ð´ÐµÐ½Ð¸Ð¹
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Optimization Methods in Problems of Integrated Field Modeling
Creators: name: ÐÐ¾Ð±Ð¾Ð², ÐÐ¸ÑÐ°Ð¸Ð»
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2022
Subjects: ÐÐµÑÑÑÐ½ÑÐµ Ð¸ Ð³Ð°Ð·Ð¾Ð²ÑÐµ ÑÐºÐ²Ð°Ð¶Ð¸Ð½Ñ
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ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸ÑÐµÑÐºÐ¸Ð¼ ÑÐµÐ¶Ð¸Ð¼ ÑÐºÐ²Ð°Ð¶Ð¸Ð½
integrated fields modeling
group optimization of well operation modes
genetic algorithm
well technological mode

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description: The theme of the final qualification work: "Optimization Methods in Problems of Integrated Field Modeling". This work is devoted to the study of the concept of integrated reservoir modeling and the application of this approach to solving the problem of group optimization of well operation modes. Tasks that were solved in the course of the study: Study of the hierarchy of model nodes-components for an integrated field model, study of possible approaches to modeling a reservoir, well, oil gathering and treatment system.Identification of the most common approaches for solving problems of multiobjective optimization. Development of a genetic algorithm for group optimization of well operation modes in the Python programming language. The work was carried out on the basis of OOO Â«Gazpromneft STCÂ», where a significant part of the factual material was collected: technological modes of operation of wells in existing fields, physical and chemical parameters of formations and fluids. Calculations were carried out and methods were implemented that clearly show how the process of group optimization of well operation modes can be carried out. The development of the algorithm was carried out in the Python programming language. The result of the work done is the developed genetic algorithm that allows you to optimize the work of a permanent well stock, taking into account global and individual well restrictions, taking into account the influence of surface infrastructure. Trial calculations were carried out on real fields, as a result of which candidate wells were selected for carrying out geological and technical measures to change the frequencies of submersible equipment. During this approbation of the developed program, the efficiency of the algorithm was proved and the financial and economic effect was obtained.