基于主成分分析的碳酸盐岩裂缝识别方法

裂缝识别对碳酸盐岩储层的勘探开发具有重要意义，现有的基于常规测井资料的裂缝识别方法易受工况影响、可靠性低，而成像测井成本较高。本文提出了一种基于声波测井资料的碳酸盐岩地层裂缝综合识别方法，具有低成本、高精度的特点。根据多种裂缝识别方法对常规声波测井资料进行计算分析，在此基础上基于主成分分析法对不同方法的裂缝识别结果进行综合考量、降维分析，消除不同裂缝识别方法之间存在的偏差以及工况的影响，实现地层裂缝的精准预测。采用该方法对顺北地区奥陶系碳酸盐岩地层进行了裂缝识别，识别结果与岩心情况吻合良好，表明基于主成分分析的碳酸盐岩地层裂缝识别方法准确可靠，能够为碳酸盐岩储层的安全高效钻探开发提供有效支撑。

Fracture identification in carbonate rocks based on principle component analysis

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