Digital oilfield

Stuck-Pipe Prediction With Automated Real-Time Modeling and Data Analysis

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.

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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.

Data Types and Frequency

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.

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