Association Rule Mining of SAGD Database

Baijie Wang
Supervisors: Dr. Xin Wang, Dr. Zhangxing (John) Chen


There is a significantly different cumulative oil production among the wells in the same field. In the article, the author tries to acquire experience from the data set to prevent the poor performance. This project is to discover the implicit association rules inside the historical SAGD database. The discovered rules are useful in preventing poor production performance and decreasing field cost.  The main method is the association rule mining (ASM), and this is already successfully applied in different area. ASM is new in oil & gas industry and has promising applications.