摘要
针对钻具失效影响因素比较复杂,失效诊断与预测比较困难的特点,提出了一种全新的基于范例推理的钻具失效诊断与预测方法。通过研究,力争建立一种适用性强、诊断与预测结果可靠的钻具失效诊断与预测方法。首先根据现场实际钻井资料,利用影响钻具失效因素的数据建立范例库,通过数据挖掘的技术获取相似范例,实现通过范例推理的方法诊断和预测可能发生的钻具失效。结合实际工况,最终达到降低井下事故,提高钻速的目的。
In view of the complex influence factor of drilling tools failure and difficult diagnosis and prediction of failure,a diagnosis and prediction method of case-based reasoning for drilling tools failure were put forward.The goal of the research is to establish a diagnosis and prediction method of drilling tools failure which has great applicability and accuracy.Based on the field drilling data and parameters of drilling tools failure,a case base was built up.Through the research on the data-base,the contingent drilling tools failure could be diagnosed and predicted based on case reasoning.Combined with field situation,the application of diagnosis and prediction method of drilling tools failure,could decrease drilling accident and improve drilling speed.
出处
《钻采工艺》
CAS
北大核心
2010年第3期22-25,共4页
Drilling & Production Technology
关键词
钻井
钻具失效
范例推理
人工智能
drilling,drilling tools failure,case reasoning,artificial inTelligence