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In the conditions of non-homogeneous environments, the measurement results, which serve as the basis for the subsequent prediction of the relationships between the parameters, cannot be brought into the regression equations. Therefore, it is necessary to use other methods. Thus, if the initial data are given in a fuzzy manner and the relationships among them also fuzzy, then fuzzy modeling based on fuzzy inference rules can be used. This article discusses the prediction of parameters of oil and gas fields based on the complex of geological-geophysical information under conditions of uncertainty using statistical and fuzzy modeling.

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Prediction of Parameters of Oil and Gas Fields Using Fuzzy Modeling

  • 会议论文

  • 发表日期：

    2025年

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  • S. I. Yusifov,
  • I. Y. Bayramov,
  • R. A. Mayilov,
  • A. M. Mehdiyeva,
  • Y. B. Sardarov,
  • A. A. Safarova

摘要

In the conditions of non-homogeneous environments, the measurement results, which serve as the basis for the subsequent prediction of the relationships between the parameters, cannot be brought into the regression equations. Therefore, it is necessary to use other methods. Thus, if the initial data are given in a fuzzy manner and the relationships among them also fuzzy, then fuzzy modeling based on fuzzy inference rules can be used. This article discusses the prediction of parameters of oil and gas fields based on the complex of geological-geophysical information under conditions of uncertainty using statistical and fuzzy modeling.