While performing drilling operations there can be several adverse states observed. These states  negatively affect the integrity of rented equipment. Use the structured labeled data provided by the client to build a classification model for adverse drilling effects (e.g. forward whirl, backwards whirl, torsional resonance).


To battle this we have created a classification model for anomaly identification in drilling operations using labeled data from Cougar Drilling. The model explores time-domain, frequency-domain, and clustering techniques. Future plans include incorporating multi-label prediction, noise simulation, forecasting, and real-time data integration. The goal is to create a comprehensive solution for safe and efficient drilling operations.

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