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Detection of downhole incidents for complex geological drilling processes using amplitude change detection and dynamic time warping
Journal of Process Control ( IF 4.2 ) Pub Date : 2021-04-19 , DOI: 10.1016/j.jprocont.2021.04.002
Yupeng Li , Weihua Cao , Wenkai Hu , Min Wu

Geological drilling process is operating under complex geological conditions, which may lead to a high risk of downhole incidents and thus compromise the drilling efficiency. To achieve prompt detection of downhole incidents and prevent them from developing to serious drilling accidents, this paper proposes a new data-driven detection method for downhole incidents based on the amplitude change detection and dynamic time warping. Two major phases are involved: the change monitoring phase detects whether there is any significant change in the drilling signals and extracts variational trend features by linear fitting and amplitude change detection; the incident detection phase determines if the cause of a change is a normal switching or a downhole incident by similarity analysis based on the dynamic time warping and the density-based spatial clustering. Industrial case studies show that the proposed method achieves good performance in downhole incidents detection for geological drilling processes.



中文翻译:

使用幅度变化检测和动态时间扭曲来检测复杂地质钻井过程的井下事件

地质钻探过程在复杂的地质条件下进行,这可能导致井下事故的高风险,从而损害钻探效率。为了实现对井下事件的及时发现并防止其发展为严重的钻井事故,本文提出了一种基于幅度变化检测和动态时间规整的数据驱动的井下事件检测方法。涉及两个主要阶段:变化监视阶段检测钻井信号是否存在重大变化,并通过线性拟合和振幅变化检测来提取变化趋势特征;事件检测阶段通过基于动态时间扭曲和基于密度的空间聚类的相似性分析,确定变化的原因是正常转换还是井下事件。工业案例研究表明,该方法在地质钻探过程的井下事件检测中取得了良好的性能。

更新日期:2021-04-19
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