Lithologic Reservoirs ›› 2014, Vol. 26 ›› Issue (2): 114-117.doi: 10.3969/j.issn.1673-8926.2014.02.018

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Application of ant colony algorithm to FMI logging segmentation

HE Feng1， LIU Ruilin2， BAI Yadong1， REN Shuangshuang3   

  1. 1. Ningxia Exploration Institute of Geophysics and Geochemistry， Yinchuan 750004， China； 2. College of Geophysics and Oil Resource， Yangtze University， Wuhan 430100， China；3. Research Institute of Petroleum Engineering Technology， Jiangsu Oilfield Company， Sinopec， Yangzhou 225000， Jiangsu， China
  • Online:2014-04-06 Published:2014-04-06

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Abstract:

This paper described the basic principles of OTSU algorithm, segmented the image that created by simulate function with iterative algorithm, OTSU algorithm, and fuzzy C-means clustering algorithm respectively, and analyzed the reasons. We introduced the basic principles of OTSU algorithm optimized by ant colony, and segmented the FMI logging image of a dissolved cavity reservoir. It is concluded that the OTSU algorithm optimized by ant colony can segment the sub-image of the fracture, emposieu and cave, and the efficiency is improved, which provides a very good foundation for the further quantitative calculation.

Key words:  reservoir characteristics, reservoir properties, main controlling factors, Chang 4+5 oil reservoir set, Ordos Basin

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