Stuck-Pipe Prediction Method Uses Trigger Coefficients

_ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 222762, “Enhancing Real-Time Stuck-Pipe Prediction Using Trigger Coefficients: A New Approach for Real-Time Well Engineering,” by Robello Samuel, SPE, Yuan Zhang, and Abhishek Agrawal, Halliburton, et al. The paper has not been peer reviewed. _ The complete paper presents a novel methodology that merges principles of physics, data science, and uncertainty modeling to offer more-resilient and -precise solutions for managing real-time pipe-sticking occurrences. The methodology embraces diverse modes of pipe-sticking mechanisms, encompassing mechanical, geometrical, differential, key-seat, cuttings-packoff, and geomechanical factors. The independence of these parameters facilitates the prediction of mechanisms that contribute to pipe sticking. Stuck-Pipe Indicator: Methodology The scalable model for monitoring multiple rigs at the same time based on the proposed approach is shown in Fig. 1. The figure also shows different real-time insights, such as descriptive, predictive, diagnostic, and prescriptive, that can be extracted as the wells are monitored. It has the option of extracting offset-wells data and information from different data sources so that better prediction can be established. To predict stuck-pipe incidents during drilling operations, it is essential to analyze the hole state. This analysis provides valuable preventative corrective actions. The methodology offers a composite measure of the wellbore conditions that can be monitored while drilling. Every traditional approach for determining a wellbore’s trajectory involves assumptions. Typically, analysis is conducted before running the casing. The overall string runnability includes drillstring runnability for drilling, casing runnability for casing tripping, completion-string runnability for well completion, and wireline runnability for wireline-related operations. These factors are monitored throughout the drilling process. Stuck-Pipe-Prediction Methodology. Analyzing the wellbore state is crucial for predicting and preventing stuck-pipe incidents during drilling. This analysis enables the identification and implementation of preemptive corrective measures to mitigate the risk of stuck pipe. Composite Measure of Wellbore Conditions. The methodology provides a composite measure of wellbore conditions that are tracked during drilling operations. This includes the runnability of the drillstring, casing, completion string, and wireline. Real-Time Monitoring. The methodology offers a comprehensive approach for real-time monitoring during drilling operations. It considers factors beyond the friction factor alone to provide a more-accurate assessment of runnability. Four-Way Coupling. The methodology involves the coupling of physics and engineering principles to understand wellbore conditions. Adaptive Learning. The methodology incorporates adaptive learning with real-time data to improve the prediction model continuously. An uncertainty analysis accounts for potential variations and anomalies in wellbore conditions. Sequence of Calculations The Comprehensive Stuck-Pipe Index (CSI) is a dynamic metric recalculated continuously based on real-time input data, serving as a key indicator for the risk of stuck-pipe incidents. When the CSI falls below a specified threshold, typically set at 1, an alarm is triggered, signaling the need for immediate corrective actions. Conversely, if the index remains above the threshold, operations proceed uninterrupted.