Detection of downhole incidents for complex geological drilling processes using amplitude change detection and dynamic time warping. (June 2021)

• Record Type: Journal Article
• Authors: Li, Yupeng; Cao, Weihua; Hu, Wenkai; Wu, Min
• Is Part Of: Journal of process control. Volume 102(2021)
• Page Start: 44
• Page End: 53
• Publication Date: 2021-06
• Subjects: Geological drilling -- Incident detection -- Amplitude change detection -- Dynamic time warping; Process control -- Periodicals; Fabrication -- Contrôle -- Périodiques; Process control; Periodicals; Electronic journals; 660.281
• DOI: 10.1016/j.jprocont.2021.04.002
• Languages: English
• ISSNs: 0959-1524

Abstract

Abstract: 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. Highlights: This work proposes a new data-driven method to detect downhole incidents. A change monitoring approach is presented to detect signal amplitude changes. A similarity analysis technique is developed based on DTW and DBSCAN.