Applied Digital Rig Automation

Tuesday, 17 March

1015 - 1155

Grand Ballroom C

Technical Session

Session Chairpersons

1015-1040 230671
Physics-based And Data-driven Models: Blending The Best Of Two Worlds To Enable Seamless Well Protection

P. Arevalo, Baker Hughes INTEQ; L. Katzmann, F. Schuberth, J. Macpherson, Baker Hughes; M. Lien, S. Hovda, Equinor ASA
1040-1105 230680
Large Scale Impacts And Key Insights From Implementing Pattern Recognition Algorithms To Automated Taring Process

M.E. Kaya, D. Dunbar, A. Groh, Patterson-UTI Drilling Company LLC
1105-1130 230679
Predictive Generator Management For Drilling Operations: A Deep Reinforcement Learning Framework

M. Zhang, A. Groh, J. Harrist, M. Snijder Van Wissenker, Patterson-UTI Drilling Company LLC
1130-1155 230672
Real-time Detection Of Mud Pump Failures Using Unsupervised Learning On High-frequency Rig Data

B. Reinoso, Nabors Industries
Alternate 230681
An Integrated Data-driven Workflow For Optimizing Drilling Design In Brazilian’S Offshore Wells

A.A. Ferro, E.A. Bezerra Silva, F.A. Binas Jr, L.P. Gouveia, A.S. Barboza, Federal University of Alagoas; A.F. Riente, Petrobras
Alternate 230683
Safer And More Efficient Managed Pressure Tripping Operations

S. Callerio, University of Texas At Austin; P. Ashok, E. van Oort, The University of Texas At Austin; M. Kvalo, Stasis Drilling Solutions

2026 Technical Program