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Research on calculation model of bottom of the well pressure based on machine learning
Future Generation Computer Systems ( IF 7.5 ) Pub Date : 2021-05-11 , DOI: 10.1016/j.future.2021.05.011
Haibo Liang , Gang Liu , Jialing Zou , Jing Bai , Yingjun Jiang

Based on the research on the calculation model of the bottom of the well pressure of the Managed Pressure Drilling, a set of accurate and effective monitoring methods for the bottom of the well pressure of the Managed Pressure Drilling is proposed.Through the analysis of the hydraulic model, the feasibility of the artificial intelligence algorithm in the bottom of the well pressure calculation and monitoring method is studied. Based on the analysis of the wellbore flow hydraulic model, the simulated annealing (SA) algorithm is combined with the support vector regression (SVR) machine to establish a set based on the simulated annealing algorithm to improving the supported vector regression machine (SA-SVR) is used to optimize the monitoring method of bottom of the well pressure of Managed Pressure Drilling (MPD).Combining the hydrostatic column pressure, Annulus pressure loss and surface back pressure data, Managed Pressure Drilling bottom of the well pressure monitoring model based machine learning is constructed to realize bottom of the well pressure data monitoring without PWD (Pressure While Drilling) instruments. The bottom of the well pressure monitoring model based on machine learning is used to calculate and analyze the bottom of the well pressure, provide theoretical support for Bottom of the well pressure monitoring of drilling operations, and guide safe drilling at the construction site.



中文翻译:

基于机器学习的井底压力计算模型研究

在对控压钻井井底压力计算模型研究的基础上,提出了一套准确有效的控压钻井井底压力监测方法。模型,研究了人工智能算法在井底压力计算和监测方法中的可行性。在分析井筒流动水力模型的基础上,将模拟退火(SA)算法与支持向量回归(SVR)机相结合,建立一套基于模拟退火算法的改进支持向量回归机(SA-SVR) ) 用于优化控压钻井 (MPD) 井底压力监测方法。结合静水柱压力、环空压力损失和地面背压数据,构建了基于机器学习的Managed Pressure Drilling井底压力监测模型,实现了无需PWD(Pressure While Drilling)仪器的井底压力数据监测。基于机器学习的井底压力监测模型用于井底压力计算和分析,为钻井作业井底压力监测提供理论支持,指导施工现场安全钻井。Managed Pressure Drilling 井底压力监测模型构建了基于机器学习的井底压力监测模型,实现了无需PWD(Pressure While Drilling)仪器的井底压力数据监测。基于机器学习的井底压力监测模型用于井底压力计算和分析,为钻井作业井底压力监测提供理论支持,指导施工现场安全钻井。Managed Pressure Drilling 井底压力监测模型构建了基于机器学习的井底压力监测模型,实现了无需PWD(Pressure While Drilling)仪器的井底压力数据监测。基于机器学习的井底压力监测模型用于井底压力计算和分析,为钻井作业井底压力监测提供理论支持,指导施工现场安全钻井。

更新日期:2021-05-31
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