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Probabilistic Real-Time Trajectory Control and Drilling Uncertainty

We are presenting a probabilistic approach to proactively adjust drilling parameters (which can be uncertain) in real time to help ensure the actual drilling path overlaps the target drilling path to the maximum extent. The planned well path is initially adjusted by a probabilistic formation earth model (EM) for maximum production potential and then adjusted to help improve well path smoothness to allow the passage of tubular strings. Drilling parameters and EM data can be updated in real time during drilling operations. Statistical methods are applied to quantify the uncertainty of the predicted actual well path.

Considering the uncertainty associated with petrophysical properties and drilling parameters, the overlap probability between actual and target well paths was computed and used as feedback for drilling parameter adjustments. This closed-loop feedback process enables proactive control of the actual well path. The drilling path simulation indicates that the trajectory resulting from using this new control method provides better reservoir access and maintains dogleg severity (DLS) at an acceptable level.

Dr. Robello Samuel

Technology Fellow, Halliburton

Concurrent adjunct faculty position at University of Houston and University of Southern California

SPE: International Drilling Engineering award, Gulf Coast Section Drilling Engineering award, Distinguished Lecturer, Distinguished member, SPE JPT Editorial Committee

Education: BS, MS (Mechanical engineering), MS & PhD (Petroleum Engineering)

Publications: more than 270 technical publications and 13 books

Dr. Zhengchun (Michael) Liu

Senior Technologist, Halliburton

Dr. Liu works for Halliburton as a Senior Technologist in the Drilling, Production, and Economics group based out of Houston, Texas. He has a M.S. degree in Petroleum Engineering from the University of Houston and a Ph.D. degree in Engineering from Louisiana Tech University. His research interests include down-hole drilling automation, drilling simulation and optimization, and wellbore thermal flow simulation of drilling, completion, and production operations. He also holds a B. Engr. Degree in Materials Science from North University of China.

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Webinar
06/13/2018 at 9:30 AM (EDT)   |  90 minutes
06/13/2018 at 9:30 AM (EDT)   |  90 minutes
Certificate
0.15 CEU/1.5 PDH credits  |  Certificate available
0.15 CEU/1.5 PDH credits  |  Certificate available