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November 4, 2025

From Reactive to Proactive: Machine Learning-Powered Drilling Analytics for Operational Excellence

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Authors

HGHany GamalMOMohammed Omer

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Overview

Analysis demonstrates data-driven decision making reduces non-productive time in drilling, suggesting improved operational excellence in the industry.

Key Points

  • Operational excellence is achieved through the integration of machine learning and drilling analytics, enhancing efficiency.
  • Data-driven decision making is crucial in minimizing non-productive time during drilling operations in challenging formations.
  • Employing Gradient Boosting and Random Forest techniques illustrates the effectiveness of machine learning in predicting drilling risks.
  • The study emphasizes the importance of structured data management in optimizing drilling performance and operational efficiency.

Cite This Study

Gamal et al. (2025) studied this question.

synapsesocial.com/papers/6909452d8f2297dc13532bdbhttps://doi.org/10.2118/229231-ms
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