Fracture identification has great significance for carbonate reservoir development. The identification method based on conventional logging data is easily affected by working conditions and has low reliability, while the cost of imaging logging is high. In this paper, a comprehensive identification method of carbonate rock fractures based on conventional acoustic logging data is presented. A variety of fracture identification methods are used to calculate and analyze conventional acoustic logging data, and based on principal component analysis, the fracture identification results of different methods are comprehensively considered and dimensionless analyzed, so as to eliminate the deviation between different fracture identification methods and the influence of working conditions, and realize the reliable prediction of fractures. Based on the acoustic logging data of Ordovician carbonate rock strata in Shunbei area, the method is used to identify the fractures, and the identification results are in good agreement with the core conditions. It shows that the identification method of carbonate rock fractures based on principal component analysis is accurate and reliable, which can provide effective support for the safe and efficient drilling and development of carbonate rock reservoirs
曹继飞,邹德永,舒腾飞,等. 基于主成分分析的碳酸盐岩裂缝识别方法[J]. 科学技术与工程, 2021, 21(36): 15421-15428.
Cao Jifei, Zhou Deyong, Shu Tengfei, et al. Fracture identification in carbonate rocks based on principle component analysis[J]. Science Technology and Engineering,2021,21(36):15421-15428.