Smith Bits

Artificial Neural Network Drilling Parameter Optimization System Improves ROP by Predicting/Managing Bit Wear

Yashodhan Gidh, Arifin Purwanto, Smith Bits · SPE Intelligent Energy International · 2012 · 62 citations

Drilling Mechanics, Engineering, Machine Learning +14

Managing Downhole Vibrations for Hole-Enlargement-While-Drilling in Deepwater Environment: A Proven Approach Utilizing Drillstring Dynamics Model

Molly Compton, Fernando Verano, Gail Nelson et al. · SPE Latin American and Caribbean Petroleum Engineering Conference · 2010 · 52 citations

Engineering, Drilling Fluids, Advanced Dynamics Model +18

Conical Diamond Element Bit Sets New Performance Benchmarks Drilling Extremely Hard Carbonate/Chert Formations, Perm Region Russia

Vyacheslav German, Mikhail Pak, Michael Azar et al. · 2015 · 42 citations

FEA Modelled MSE/UCS Values Optimise PDC Design for Entire Hole Section

Cherif Hammoutene, Smith Bits · North Africa Technical Conference and Exhibition · 2012 · 30 citations

Numerical Analysis, Engineering, Entire Hole Section +23

Real-Time Drilling Parameter Optimization System Increases ROP by Predicting/Managing Bit Wear

Yashodhan Gidh, Hani Ibrahim, Arifin Purwanto et al. · SPE Digital Energy Conference and Exhibition · 2011 · 29 citations

Model Optimization, Engineering, Machine Learning +14