• M. Shahri, T. Wilson, Taylor Thetford, B. Nelson, M. Behounek, A. Ambrus, J. D’Angelo, P Ashok: “Implementation of a Fully Automated Real-Time Torque and Drag Model for Improving Drilling Performance: Case Study,” paper SPE-191426-MS, presented at the SPE Annual Technical Conference and Exhibition, 24-26 September, Dallas, Texas, 2018.

    The drilling industry has made significant progress on physics-based torque and drag (T&D) models that can run either offline (pre-job or post-job) or in real-time. Despite its numerous benefits, real-time T&D analysis is not prevalent since it requires merging real-time and contextual data of dissimilar frequency and quality, along with repeated calibration whose results are not easily accessible to the user. Our goal is to implement a rig-based T&D advisory system which overcomes these obstacles.