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《Natural Gas Industry》 2006-09
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A METHOD STUDY ON QUANTITATIVELY EVALUATING SIDEWALL IMAGING WELL LOGGING DATA

Ke Shizhen1, Xu Shuxia2 ( 1 China University of Petroleum Beijing; 2 Chengdu University of Technology)  
In order to make full use of sidewall imaging well logging data and quantitatively evaluate fractures and cavities in reservoirs, and in view of the characteristics of logging methods studies are performed in the following aspects: preprocessing of logging data, such as elimination of bad electrode, depth matching, voltage correction, standardization, acceleration correction and azimuth correction, quantitative evaluation methods, such as grey level transformation, grey interpolation, image enhancing and displaying, separation of target with background, extraction of target hinge line, tracing of fracture course and quantitative calculation of fracture parameters. A flow chart of automatic quantitative evaluation of sidewall imaging well logging data is presented. Several optimum algorithms are selected, such as Akima cubic interpolation for grey interpolation, square medium filtering for image filtering, histogram standardization for image enhancing, Deutch refining for extraction of target hinge line, and HOUGH transformation for tracing fracture course. Quantitative evaluation software is programmed with C-language under WINDOWS and is applied in data processing. Test with real data shows that this method is practical.
【CateGory Index】: P631.84
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