Abstract: During the evaluation of complex reservoir, optimal correcting chart and interpretation equation are selected automatically for target horizons with different property characteristics. It is not only quite necessary, but also a challenging issue for intelligent processing of logging curves. Based on logging curve characteristics, the knowledge of logging data processing and interpretation can be divided into basic information, rules and strategies. In combination with logging data such as interpretation parameters, models and charts, a knowledge base of logging processing and interpretation was established, which can update automatically using associated rules in data mining and item set weighting increment algorithm. On this basis, a relevant subsystem was created to preliminarily realize the whole process of logging data processing and interpretation for complex reservoirs, i.e., from knowledge acquisition to the intelligent optimization of parameters and models. Through integrated running on National Science and Technology Major Project Integration Software Platform (CIFLog), this processing and algorithm were proved to be scientific and effective.