关键词: 碳酸盐岩, 成像测井, 裂缝识别测井, 统计分析, 灰色系统, 模型

Abstract: Contrast with the core analysis and the material of imaging logging carefully, the identification for fracture was set up in the imaging logging field.The response parameters,which have good relation with fracture,were taken as the part of identification for fracture samples.Applying Q cluster method, primary samples can be clustered by using the obverse figure of distant factor as class statistic amount,to form 28 samples vectors of fracture identification. When primal coordinate of two-dimensional space is given and non-fracture vectors will be sure in two-dimensional space.After identifying and analyzing, fracture and non-fracture identification expressions have got,which have 90 coincidence rate about non-fracture dot,while 100 coincidence rate to fracture dot.Based on the gray static model,fracture density expression are worked out,and the calculated conclusion have higher precision.

Key words: carbonate rock, imaging logging, fracture identification logging, statistic analytic, gray system, model