Drilling Data Based Approach for Real-Time Rate of Penetration Prediction for Motorized Bottom Hole Assembly Using Artificial Intelligence
Amir Shokry Youssef,
Ahmed Gowida,
Salaheldin Elkatatny
et al.
Abstract:Predicting and optimizing the drilling rate of penetration (ROP) poses a significant challenge due to its dependence on various factors, prompting increased attention towards achieving precise ROP estimations given its direct influence on overall drilling expenses. Among the factors influencing ROP, the driving mechanism of the bottom hole assembly (BHA) plays a pivotal role. Motorized BHAs offer versatile applications beyond directional drilling, including optimization of ROP and mitigation of downhole vibrat… Show more
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