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Forecasting Oil and Gas Reservoirs Properties Using of Fuzzy-Logic Based Methods

  • R. Y. Aliyarov
  • A. B. HasanovEmail author
  • M. S. Ibrahimli
  • Z. E. Ismayilova
  • A. J. Jabiyeva
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 896)

Abstract

As is known, the recognition of productive horizons within of oil and gas deposits is based on assessments of reservoir’s filtration-capacitance properties, the values of which determine the nature of pore space and fluid saturation. Usually variability of reservoir’s filtration-capacitance properties visualize by 2D and 3D petrophysical models which reflect results of well logging and core lab investigations. At the same time, considering that natural reservoirs are characterized by a multitude of parameters, such as tortuosity and the shape of the cross section of pore channels, the thickness of the layer of bound water, etc., which can not be strictly determined thru laboratory experiments so, petrophysical models based only on core researching can not be accepted as flawless. Another major problem in petrophysical modeling is the effect of scattering of experimental data in the phase space of parameters, which inexplicable as errors of calculations or measurements. As a try to avoid the above problems, should be considered fuzzy petrophysical models which is the most optimal, from the point of view of the representation of the polygons scattering experimental data and phase space parameters.

Keywords

Deep-lying sediments Petrophysical models Productive reservoirs Fuzzy values Predicting the reliability Fuzzy logic-based method 

References

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • R. Y. Aliyarov
    • 1
  • A. B. Hasanov
    • 1
    Email author
  • M. S. Ibrahimli
    • 1
  • Z. E. Ismayilova
    • 1
  • A. J. Jabiyeva
    • 1
  1. 1.Azerbaijan State Oil and Industry UniversityBakuAzerbaijan

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