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Taylor Thetford
Observed names:
T. S. Thetford,
T. Thetford
Institution:
APA Corporation (United States)
Observed institution:
APA Corporation (United States)
OpenAlex ID:
A5001938428
Implementation of a Fully Automated Real-Time Torque and Drag Model for Improving Drilling Performance: Case Study
2018
·
Mojtaba Shahri
, Timothy Wilson
, et al.
·
SPE Annual Technical Conference and Exhibition
·
28
A Novel Probabilistic Rig Based Drilling Optimization Index to Improve Drilling Performance
2017
·
A. Ambrus
, P. Ashok
, et al.
·
SPE Offshore Europe Conference (Offshore Europe)
·
24
Self-Learning Probabilistic Detection and Alerting of Drillstring Washout and Pump Failure Incidents During Drilling Operations
2018
·
A. Ambrus
, P. Ashok
, et al.
·
SPE/IADC Drilling Conference
·
20
A Step by Step Approach to Improving Data Quality in Drilling Operations: Field Trials in North America
2016
·
Pradeepkumar Ashok
, Adrian Ambrus
, et al.
·
SPE Intelligent Energy Conference and Exhibition
·
17
Monitoring Wellbore Quality in Real-Time Using a Geometrically Derived Tortuosity Metric
2018
·
John D’Angelo
, Pradeepkumar Ashok
, et al.
·
Unconventional Resources Technology Conference (URTeC)
·
16
Taking a Different Approach to Drilling Data Aggregation to Improve Drilling Performance
2017
·
Michael Behounek
, Evan Hofer
, et al.
·
SPE/IADC Drilling Conference
·
16
Deployment of a Hybrid Machine Learning and Physics Based Drilling Advisory System at the Rig Site for ROP Optimization
2023
·
Michael Behounek
, Kirt McKenna
, et al.
·
SPE/IADC Drilling Conference
·
13
Time-Series Data Augmentation Techniques for Improving Automated Drilling Dysfunction Classifiers
2021
·
Michael Yi
, Dawson Ramos
, et al.
·
SPE/IADC Drilling Conference
·
13
Adopting Physical Models in Real-Time Drilling Application: Wellbore Hydraulics
2018
·
Mojtaba Shahri
, Bahri Kutlu
, et al.
·
SPE Liquids-Rich Basins Conference - North America
·
13
Applications of Large Language Models in Well Construction Planning and Real-Time Operation
2024
·
Michael Yi
, Kamil Ceglinski
, et al.
·
SPE/IADC Drilling Conference
·
11
Unplanned Tortuosity Index: Separating Directional Drilling Performance from Planned Well Geometry
2019
·
John D'Angelo
, Pradeepkumar Ashok
, et al.
·
SPE/IADC Drilling Conference
·
11
Field Testing of an Automated 3D Cuttings and Cavings Measurement Sensor
2023
·
Sebastian Prez
, Santiago Callerio
, et al.
·
SPE/IADC Drilling Conference
·
10
Natural Language Processing Applied to Reduction of False and Missed Alarms in Kick and Lost Circulation Detection
2021
·
Michael Yi
, Pradeepkumar Ashok
, et al.
·
SPE Annual Technical Conference and Exhibition
·
10
Change Management Challenges Deploying a Rig-Based Drilling Advisory System
2019
·
Michael Behounek
, Blake Millican
, et al.
·
SPE/IADC Drilling Conference
·
9
Human Factors Engineering in the Design and Deployment of a Novel Data Aggregation and Distribution System for Drilling Operations
2017
·
Michael Behounek
, Taylor Thetford
, et al.
·
SPE/IADC Drilling Conference
·
8
Prevention of Stuck Pipe Events and Robust Real-Time Identification of Root Cause Using Physics Based Models in Combination with Bayesian Network Models
2024
·
Michael Yi
, Pradeepkumar Ashok
, et al.
·
International Petroleum Technology Conference
·
6
Field Deployment of a Real-Time Bit Pull Advisory System
2023
·
M. Yi
, P. Ashok
, et al.
·
SPE/IADC Middle East Drilling Technology Conference and Exhibition
·
6
Automated Merging of Time Series and Textual Operations Data to Extract Technical Limiter Re-Design Recommendations
2022
·
Michael Yi
, Pradeepkumar Ashok
, et al.
·
SPE/IADC Drilling Conference
·
5
A Real-Time Probabilistic Slide Drilling Dysfunction Advisory to Assist Remote Directional Drilling Operations
2021
·
Dawson Ramos
, Pradeepkumar Ashok
, et al.
·
SPE Annual Technical Conference and Exhibition
·
5
A Probabilistic Belief System to Track the Cleanliness of a Hole in Real-Time
2021
·
Pradeepkumar Ashok
, John D' Angelo
, et al.
·
SPE/IADC Drilling Conference
·
5
Spider Bots: Database Enhancing and Indexing Scripts to Efficiently Convert Raw Well Data Into Valuable Knowledge
2018
·
Gurtej S. Saini
, Hong-Chih Chan
, et al.
·
Unconventional Resources Technology Conference (URTeC)
·
4
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Works count:
21
Citation count:
250
H-index:
11
I10-index:
13
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