Machine-Learning-Based Early-Warning System Maintains Stable Production

摘要

After long-term waterflooding,a number of mature oil fields in China have entered the high-water-cut stage,and abnormal production decline has become the primary problem for stable production.This paper describes an accurate,three-step,machine-learning-based early warning system(EWS)that has been used to monitor production and guide strategy in the Shengli field.Adding artificial samples to the training process improved the system's prediction accuracy greatly(Fig.l).