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The paper considers problems analysis related to the data mining methods using for solving classification problem of oil-water-gas flow regimes of oil well production and approaches development to solve them. It is presented an ensemble method development based on a neural network that provides a solution to the classification problem, if the functional class separability property condition is met, using a voting system implemented on the basis of a convolutional network to justify the obtained decision.

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Data Mining Methods Developing for Classifying Complex Objects on Example of Oil Well Production Flow Regimes

  • 会议论文

  • 发表日期：

    2026年

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  • Ilya S. Mikhaylov,
  • Igor B. Fominykh,
  • Marina V. Fomina,
  • Kirill O. Sidorov

摘要

The paper considers problems analysis related to the data mining methods using for solving classification problem of oil-water-gas flow regimes of oil well production and approaches development to solve them. It is presented an ensemble method development based on a neural network that provides a solution to the classification problem, if the functional class separability property condition is met, using a voting system implemented on the basis of a convolutional network to justify the obtained decision.