1-8 of 8
Abdullah Alakeely
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

A Physics Informed Deep-Learning Architecture for Transforming NMR T 2 to MICP Pore Throats for Carbonate Rocks

Wei Shao, Songhua Chen, Shouxiang Mark Ma, Gabor Hursan, Abdullah Alakeely
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0087
https://doi.org/10.30632/SPWLA-2024-0087
Add To Cart
View Paper titled, A Physics Informed Deep-Learning Architecture for Transforming NMR T 2 to MICP Pore Throats for Carbonate Rocks
Open the PDF for A Physics Informed Deep-Learning Architecture for Transforming NMR T 2 to MICP Pore Throats for Carbonate Rocks in another window
Add to Citation Manager
Proceedings Papers

Innovative Method to Predict H 2 S Concentration from Advanced Mud Logs

Enter: Khalid Qubaisi, Yacine Meridji, Naif Rubaie, Abdullah AlAkeely
Paper presented at the International Petroleum Technology Conference, February 12, 2024
Paper Number: IPTC-23244-MS
https://doi.org/10.2523/IPTC-23244-MS
Add To Cart
View Paper titled, Innovative Method to Predict H 2 S Concentration from Advanced Mud Logs
Open the PDF for Innovative Method to Predict H 2 S Concentration from Advanced Mud Logs in another window
Add to Citation Manager
Journal Articles

Simulating Oil and Water Production in Reservoirs with Generative Deep Learning

Abdullah Alakeely, Roland Horne
Journal: SPE Reservoir Evaluation & Engineering
Publisher: Society of Petroleum Engineers (SPE)
SPE Res Eval & Eng 25 (04): 751–773.
Paper Number: SPE-206126-PA
https://doi.org/10.2118/206126-PA
Published: 16 November 2022
Add To Cart
View article titled, Simulating Oil and Water Production in Reservoirs with Generative Deep Learning
Open the PDF for Simulating Oil and Water Production in Reservoirs with Generative Deep Learning in another window
Add to Citation Manager
Journal Articles

Simulating the Behavior of Reservoirs with Convolutional and Recurrent Neural Networks

Abdullah Alakeely, Roland N. Horne
Journal: SPE Reservoir Evaluation & Engineering
Publisher: Society of Petroleum Engineers (SPE)
SPE Res Eval & Eng 23 (03): 0992–1005.
Paper Number: SPE-201193-PA
https://doi.org/10.2118/201193-PA
Published: 13 August 2020
Add To Cart
View article titled, Simulating the Behavior of Reservoirs with Convolutional and Recurrent Neural Networks
Open the PDF for Simulating the Behavior of Reservoirs with Convolutional and Recurrent Neural Networks in another window
Add to Citation Manager
Proceedings Papers

Simulating the Behavior of Reservoirs with Convolutional and Recurrent Neural Networks

Abdullah Alakeely, Roland N. Horne
Paper presented at the International Petroleum Technology Conference, January 13–15, 2020
Paper Number: IPTC-20191-MS
https://doi.org/10.2523/IPTC-20191-MS
Add To Cart
View Paper titled, Simulating the Behavior of Reservoirs with Convolutional and Recurrent Neural Networks
Open the PDF for Simulating the Behavior of Reservoirs with Convolutional and Recurrent Neural Networks in another window
Add to Citation Manager
Proceedings Papers

Application of Artificial Intelligence for Fluid Typing in an Exploration Environment Using Calibrated Compositional Data

Abdullah Alakeely, Yacine Meridji, Anas Almarzoug, Hussain Aljeshi, Maneesh Pisharat
Paper presented at the SPWLA 55th Annual Logging Symposium, May 18–22, 2014
Paper Number: SPWLA-2014-XXX
Add To Cart
View Paper titled, Application of Artificial Intelligence for Fluid Typing in an Exploration Environment Using Calibrated Compositional Data
Open the PDF for Application of Artificial Intelligence for Fluid Typing in an Exploration Environment Using Calibrated Compositional Data in another window
Add to Citation Manager
Proceedings Papers

Can Sourceless Density LWD Replace Wireline in Exploration Wells? Case Study from Saudi Arabia

Abdullah Alakeely, Yacine Meridji
Paper presented at the SPE Saudi Arabia Section Technical Symposium and Exhibition, April 21–24, 2014
Paper Number: SPE-172178-MS
https://doi.org/10.2118/172178-MS
Add To Cart
View Paper titled, Can Sourceless Density LWD Replace Wireline in Exploration Wells? Case Study from Saudi Arabia
Open the PDF for Can Sourceless Density LWD Replace Wireline in Exploration Wells? Case Study from Saudi Arabia in another window
Add to Citation Manager
Proceedings Papers

Calibrating Log Derived Stress Profiles In Anisotropic Shale Gas Formations- Incorporating Lab and Field

Anas Almarzooq, Hussain Aljeshi, Abdullah AlAkeely
Paper presented at the International Petroleum Technology Conference, January 19–22, 2014
Paper Number: IPTC-17246-MS
https://doi.org/10.2523/IPTC-17246-MS
Add To Cart
View Paper titled, Calibrating Log Derived Stress Profiles In Anisotropic Shale Gas Formations- Incorporating Lab and Field
Open the PDF for Calibrating Log Derived Stress Profiles In Anisotropic Shale Gas Formations- Incorporating Lab and Field in another window
Add to Citation Manager

Product(s) added to cart

Go to Cart Continue Browsing
Close Modal