A real-time method is presented to predict impending stuck pipe with sufficient warning to prevent it. The new method uses automated analysis of real-time modeling coupled with real-time-data analysis. It can be applied to all well types for any well operation. The new method combines two types of analysis: (1) deviation of real-time data from real-time model predictions by use of hydraulics and torque-and-drag software, and (2) trend analysis of real-time data.
The approach taken was to first study real-time data sets from wells in which stuck-pipe incidents occurred and determine the root cause of each. The majority of these wells were drilled between 2009 and 2013 in the Eagle Ford shale. Specific patterns in the data were then identified as potential leading indicators of stuck pipe.
One of the first issues identified was that the type, frequency, and quality of data available are not consistent from well to well. To ensure that the alerting system was configured to work on different well types with a high degree of functionality, the decision was made that it would be designed to monitor a well and provide alerts even if only “critical” data streams are available.
Stuck-Pipe Prediction With Automated Real-Time Modeling and Data Analysis
14 May 2016