ARTIFICIAL INTELLIGENCE-BASED ANALYSIS OF ROCK DESTRUCTION PROCESSES IN DRILLING OPERATIONS
Date Issued
2025
Author(s)
Dmytruk О. I.
Editor(s)
Pashchenko O. A.
Abstract
Drilling operations require an in-depth understanding of rock destruction mechanics to improve efficiency, reduce operational costs, and extend equipment lifespan. The fragmentation of rock is governed by interactions between the drilling bit, rock properties, and external forces such as weight on bit (WOB), rotational speed, and fluid pressure. Conventional methods for predicting rock fragmentation rely on empirical relationships, but these approaches often fail to adapt to real-time changes in drilling conditions.
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