Development of intelligent system operational maintenance of the level of oil and gas production and waterflooding management

Neft və qaz hasilatı səviyyəsinin operativ saxlanılması üçün ağıllı sistemin hazırlanması və sulaşmanın idarə edilməsi
РАЗРАБОТКА ИНТЕЛЛЕКТУАЛЬНОЙ СИСТЕМЫ ОПЕРАТИВНОГО ПОДДЕРЖАНИЯ УРОВНЯ ДОБЫЧИ НЕФТИ И ГАЗА И УПРАВЛЕНИЕ ЗАВОДНЕНИЕМ
Shilanbayev B.A. Ishangaliyev S.V. Zhetruov Zh.T. Shayakhmet K.N. Koldei M.
2023 Oil Gas Scientific Research Project Institute

SOCAR Proceedings
2023 6 - 18 pp.

This article discusses the development of an intelligent System for the operational maintenance of the level of oil and gas production as part of the implementation of the Strategy for the development of information technologies for data management and the Program for the development of digitalization of fields of JSC «NC Kazmunaigas». The advantage of the system is multitasking and using almost all the data coming from production facilities in real time. The main task of the system is to manage a group of wells taking into account their mutual influence to maximize oil production and reduce the negative impact of uncoordinated well operation without damaging the rational system of field development. A significant feature of the developed system is the creation of complex algorithms for predicting the main development indicators using artificial neural networks based on a combination of CRM (capacity resistance model), FFNN (neural network with direct communication), MBM (material balance model) and BFGS (Broyden-Fletcher-Goldfarb-Shanno algorithm) methods. During the pilot test on 10 wells, the modes were adjusted according to the recommendations issued by the system and the system confirmed its operability and effectiveness of application.

labor productivity , machine learning , neural networks , rational development system , return distribution , virtual flow meter

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JV Kazgermunai LLP, Kyzylorda, Kazakhstan
LLP KMG Engineering, Astana, Kazakhstan

JV Kazgermunai LLP
LLP KMG Engineering

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