Application of ant colony algorithm to FMI logging segmentation

  • L I Panpan ,
  • ZHU Xiaomin ,
  • ZHU Shifa ,
  • L IANG Xiaowei ,
  • NIU Xiaobing ,
  • ZHENG Qinghua
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  • 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 published: 2014-04-06

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.

Cite this article

L I Panpan , ZHU Xiaomin , ZHU Shifa , L IANG Xiaowei , NIU Xiaobing , ZHENG Qinghua . Application of ant colony algorithm to FMI logging segmentation[J]. Lithologic Reservoirs, 2014 , 26(2) : 114 -117 . DOI: 10.3969/j.issn.1673-8926.2014.02.018

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