重砂异常的评价,是区域调查的重要组成部分,以往多根据异常强度、地质条件、矿物对找矿的指示意义、伴生矿物以及与其他异常的相互关系,将异常定性地分成几个级别.这种定性评价异常的方法,往往带有主观因素.本次在进行戴家汇幅1∶5万重砂测量中,为找寻铜矿,试用逻辑信息法对重砂异常进行评价,取得了较好的效果. 逻辑信息法是苏联学者康斯坦丁诺夫等近年提出的,在苏联已成功地运用于预测矿床产出的可能规模.该方法的具体步骤为:①建立标志总体;②建立研究对象的原始数据表;③建立地质对象的变异序列;④ The evaluation of heavy sand anomalies is an important part of the regional survey. In the past, based on the strength of anomalies, geological conditions, the indication of mineralization for prospecting, the associated minerals and their interrelation with other anomalies, the anomalous nature was divided into several levels in the past. This method of qualitative evaluation of abnormalities, often with subjective factors .Dengjiahui amplitude of 1: 50000 heavy sand measurement, in order to find copper, try logical information method to evaluate the abnormal sand, obtained more than Good effect.The logical information method is proposed by the Soviet scholar Constantinov in recent years and so on, and has been successfully used in the Soviet Union to predict the possible scale of the ore deposit output.The specific steps of the method are as follows: (1) establishing the overall mark; (2) establishing a research Object of the original data sheet; ③ establish geological objects mutation sequence; ④