关键词: 关键词: 油钻井, 关联规则, 粗糙集, 时序关联规则

Abstract: Association rules are used to analyze causality of oil drilling accidents without considering time attributes. To resolve the issue, a timing association rule method is proposed. This method is based on rough sets, time series and association rules. First of all, filtering redundant attributes in the database on the basis of rough set to obtain core attributes; then, setting the length of time and the length of time, the length of time the length of time the quilt continuous divided into some equal time intervals; finally, the improved Apriori algorithm in the premise of support degree and confidence in the full generation of temporal association rules based on. The experimental results show that the timing association rules can accurately predict the trend of drilling accidents.

Key words: Keywords: petroleum drilling, association rule, rough set, temporal association rules