In this paper, we present a novel method of predicting the onset of a slide event in horizontal drilling operations. Horizontal drilling operations attempt to create a well through a subsurface as quickly as possible by rotating a drill through the subsurface. A slide event occurs when the drill begins to inefficiently rotate through the subsurface, resulting in a significantly reduced rate of penetration. Slide events can be prevented, or significantly reduced in their impact, when their onset is accurately predicted. We present a method of accurately predicting the onset of slide events with a time-series based predictive model that operates on real-time drilling data. We identify controllable features that allow drill operators to mitigate or prevent slide events.
Serna, Daniel J.; Vasquez, James; and Markley, Donald
"Achieving Optimal Horizontal Drill Operations,"
SMU Data Science Review: Vol. 2
, Article 2.
Available at: https://scholar.smu.edu/datasciencereview/vol2/iss3/2
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