An In-Depth Review of Stuck Pipe Prediction at the 2024 ATCE

July, 2024.

Join me at the 2024 ATCE conference in New Orleans for an in-depth exploration of stuck pipe prediction—an issue that remains one of the most significant challenges in well construction operations. In this talk, I will present a comprehensive review of current prediction models and early-warning systems, highlighting both their strengths and shortcomings. We will dive into five critical aspects of these models, from data frequency and spatial bias to the interpretability of the outputs. This analysis will be coupled with insights from anomaly detection in other domains, offering a fresh perspective on how we can refine and improve real-time stuck pipe prediction.

This presentation is particularly timely as the industry intensifies its focus on drilling automation and predictive modeling. Despite the sophistication of some existing approaches, significant gaps remain, such as the lack of standardized methods for model assessment and the issue of data leakage during model construction. By addressing these challenges and providing practical guidelines for future improvements, this talk aims to advance the development of more universally applicable, robust, and interpretable stuck pipe prediction models. Whether you’re involved in oil and gas recovery, geothermal energy, or carbon storage, the insights shared in this session will be invaluable for enhancing your predictive capabilities and reducing non-productive time in drilling operations.

Register now here: 2024 ATCE