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Drilling parameters optimization using an innovative artificial intelligence model
Proper selection of the drilling parameters and dynamic behavior is a critical factor in
improving drilling performance and efficiency. Therefore, the development of an efficient …
improving drilling performance and efficiency. Therefore, the development of an efficient …
An experimental investigation of WAG injection in a carbonate reservoir and prediction of the recovery factor using genetic programming
M Wojnicki, J Lubaś, M Gawroński, S Szuflita… - Energies, 2022 - mdpi.com
Production from mature oil fields is gradually declining, and new discoveries are not
sufficient to meet the growing demand for oil products. Hence, enhanced oil recovery is …
sufficient to meet the growing demand for oil products. Hence, enhanced oil recovery is …
Optimization of drilling parameters using an innovative GA-PS artificial intelligence model
Proper selection of the drilling parameters and dynamic behavior is a critical factor in
improving drilling performance and efficiency. Real-time monitoring allows the driller to …
improving drilling performance and efficiency. Real-time monitoring allows the driller to …
Comparison of Three Machine Learning Approaches in Determining Total Organic Carbon (TOC): A Case Study from Marcellus Shale Formation, New York State
D Dimitrijevic, C Cranganu - Artificial Intelligent Approaches in Petroleum …, 2024 - Springer
Abstract Total Organic Carbon (TOC) contained by subsurface source rock units is an ideal
parameter for predicting the potential production of gas and oil shales because it primarily …
parameter for predicting the potential production of gas and oil shales because it primarily …
Modeling CO2 loading capacity of triethanolamine aqueous solutions using advanced white-box approaches: GMDH, GEP, and GP
F Hadavimoghaddam, B Amiri-Ramsheh… - Discover Applied …, 2024 - Springer
The equilibrium solubility of carbon dioxide (CO2) in the solvents is a key essential
characteristic that has to be evaluated for successful absorption-based CO2 capture …
characteristic that has to be evaluated for successful absorption-based CO2 capture …
[PDF][PDF] Prediction of tool wear after machining
F Shahini, N Grgurić - Ri-STEM-2021, 2021 - unirepository.svkri.uniri.hr
The purpose of this article is to regress and predict tool wear from predefined datasets.
Given datasets consists of six different parameters: experiment number, depth of cut (DOC …
Given datasets consists of six different parameters: experiment number, depth of cut (DOC …