1-4 of 4
Toby Burrough
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Enhanced Decision Making and Asset Optimization for Unconventional Resources with Type Wells (DCA), RTA-Based Numerical Modeling and Machine Learning

Alireza Haghighat, Toby Burrough
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044552-MS
https://doi.org/10.15530/urtec-2024-4044552
Add To Cart
View Paper titled, Enhanced Decision Making and Asset Optimization for Unconventional Resources with Type Wells (DCA), RTA-Based Numerical Modeling and Machine Learning
Open the PDF for Enhanced Decision Making and Asset Optimization for Unconventional Resources with Type Wells (DCA), RTA-Based Numerical Modeling and Machine Learning in another window
Add to Citation Manager
Journal Articles

A Machine Learning Approach to Benchmarking Operators Performance: A New Perspective Utilizing Factor Contribution Analysis

S. Hamed Tabatabaie, Toby Burrough, Camilo Rodriguez Cadena
Journal: SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. 27 (06): 3314–3327.
Paper Number: SPE-209814-PA
https://doi.org/10.2118/209814-PA
Published: 20 December 2022
Add To Cart
View article titled, A Machine Learning Approach to Benchmarking Operators Performance: A New Perspective Utilizing Factor Contribution Analysis
Open the PDF for A Machine Learning Approach to Benchmarking Operators Performance: A New Perspective Utilizing Factor Contribution Analysis in another window
Add to Citation Manager
Proceedings Papers

Seismic fault proximity to production

Jesse Lomask, Toby Burrough, Allison Gilmore, Michael Pyrcz
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3746974
https://doi.org/10.1190/image2022-3746974.1
Add To Cart
View Paper titled, Seismic fault proximity to production
Open the PDF for Seismic fault proximity to production in another window
Add to Citation Manager
Proceedings Papers

A Machine Learning Approach to Benchmarking: A New Perspective Utilizing Factor Contribution Analysis

Hamed Tabatabaie, Toby Burrough, Camilo Rodriguez Cadena
Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208309-MS
https://doi.org/10.15530/AP-URTEC-2021-208309
Add To Cart
View Paper titled, A Machine Learning Approach to Benchmarking: A New Perspective Utilizing Factor Contribution Analysis
Open the PDF for A Machine Learning Approach to Benchmarking: A New Perspective Utilizing Factor Contribution Analysis in another window
Add to Citation Manager

Product(s) added to cart

Go to Cart Continue Browsing
Close Modal