Research and Application of Intelligent Drilling Advisory System
In the process of deep well exploration and development,the high-strength and highly abrasive forma-tion in the wellbore will lead to early bit wear of the drill,violent vibration of downhole drilling tools,insufficient hole cleaning,and other adverse factors,it seriously restricts the safe and rapid drilling of deep and ultra-deep wells.Aiming at the above problems,an intelligent drilling advisory system for drilling is proposed to optimize drilling parameters in real time and improve drilling performance.Based on rate of penetration and mechanical specific energy,the comprehensive evaluation index of drilling performance is defined.Combining geological and physical models such as in-situ stress,drilling tool vibration,frictional torque,wellbore cleaning and rock breaking energy efficiency,a real-time optimization process of drilling parameters including three modes of exploration,learning and application is proposed.The real-time optimization algorithm of drilling parameters is trained by in-tegrating support vector regression model and random forest regression model.The system has been applied in Well SDCK-1,the ROP increase ratio has reached 41.5％,and provides a new technical means for the optimiza-tion of deep and ultra-deep well drilling.
intelligent drillingmulti-objective coordination optimization systemrate of penetrationmechan-ical specific energymachine learningWell SDCK-1
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