The application discloses a method for identifying lithofacies of
carbonate rocks, and particularly relates to the technical field of rock analysis, and comprises the following steps: S1, digital
processing of rock slices; S2, analysis of diagenetic sequence characteristics; S3, spatial modeling of lithofacies characteristics; S4, optimization of dynamic determination rules; and S5, attribution of
carbonate rock lithofacies. According to the method, backscattering images are collected and subjected to digital
processing, the geometric morphology of rock fabric and the element ratio of cements are uniformly quantified, and multiple diagenetic indicators such as
pressure solution suture line curvature and top-bottom structure frequency are fused to construct a multi-dimensional
characteristic space defined by sedimentary fabric and diagenetic modification. According to the distribution of special phenomena such as bird
eye structure, the weight of key parameters and the determination critical value can be dynamically adjusted, and finally, the automatic attribution of lithofacies is realized, and the objectivity and accuracy of the identification of complex
carbonate rock lithofacies are effectively improved.