Intelligent systems for decision making during operation of technological oil and gas equipment

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Scientific Conference on Applied Physics, Information Technologies and Engineering 2019, APITECH 2019

Год издания: 2019

Идентификатор DOI: 10.1088/1742-6596/1399/5/055096

Аннотация: The problem of intellectualization of decision support during the operation of oil and gas well equipment is considered in the paper. It is proposed to implement an intelligent approach in the form of a multicomponent information system. Combining the subsystems of such an information system requires detailed study to integrate modПоказать полностьюern methods and algorithms for intelligent data processing. Based on the results of testing the methods on data sets from real operating field objects, data were obtained that testify to the possibility of using the considered approaches and the relatively high efficiency of the artificial neural network method and collective intelligent approach. © Published under licence by IOP Publishing Ltd.

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Издание

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1399, Is. 5

Номера страниц: 55096

ISSN журнала: 17426588

Издатель: Institute of Physics Publishing

Авторы

  • Zhukov V.G. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation)
  • Bukhtoyarov V.V. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation)
  • Bashmur K.A. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Tynchenko V.S. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation)
  • Bukhtoyarova N.A. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Kukartsev V.V. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation)

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