Taylor Thetford

Implementation of a Fully Automated Real-Time Torque and Drag Model for Improving Drilling Performance: Case Study

Mojtaba P. Shahri, Timothy Wilson, Taylor Thetford et al. · SPE Annual Technical Conference and Exhibition · 2018 · 22 citations

Real-time Monitoring, Engineering, Drilling Fluids +21

A Novel Probabilistic Rig Based Drilling Optimization Index to Improve Drilling Performance

Adrian Ambrus, Pradeepkumar Ashok, A.. Chintapalli et al. · 2017 · 20 citations

Large-scale Global Optimization, Engineering, Machine Learning +22

A Step by Step Approach to Improving Data Quality in Drilling Operations: Field Trials in North America

Pradeepkumar Ashok, Adrian Ambrus, Dawson Ramos et al. · 2016 · 17 citations

Engineering, Measurement, Root Cause +23

Self-Learning Probabilistic Detection and Alerting of Drillstring Washout and Pump Failure Incidents During Drilling Operations

Adrian Ambrus, Pradeepkumar Ashok, Dawson Ramos et al. · IADC/SPE Drilling Conference and Exhibition · 2018 · 17 citations

Artificial Intelligence, Engineering, Machine Learning +25

Taking a Different Approach to Drilling Data Aggregation to Improve Drilling Performance

Michael Behounek, Evan Hofer, Taylor Thetford et al. · 2017 · 16 citations