Results 251 to 260 of about 19,558,547 (301)
Advanced Engineering Materials, EarlyView.Copper‐based composites enhanced with carbon feature convenient mechanical properties and favorable electric conductivity. Processing via deformation and thermomechanical treatments can introduce advantageous microstructures further enhancing their performance. Herein, copper–graphene powder‐based composites are directly consolidated via rotary swaging
Radim Kocich +3 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Mass density governs the protective behavior of oxide layers on nuclear fuel cladding. Ptychographic X‐ray computed tomography measures zirconium oxide grown on Zircaloy‐4 under reactor and autoclave conditions, revealing nearly identical bulk densities of 5.1 ± 0.80 g cm−3.
Okan Yetik +9 more
wiley +1 more source
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Journal of Petroleum Science and Engineering, 2020
The objective of oil reservoir production optimization is finding optimal scheme of each well to maximize the net present value (NPV) or the hydrocarbon production.
Kai Zhang, Xiaoming Xue, Hai Sun
exaly +2 more sources
The objective of oil reservoir production optimization is finding optimal scheme of each well to maximize the net present value (NPV) or the hydrocarbon production.
Kai Zhang, Xiaoming Xue, Hai Sun
exaly +2 more sources
Machine Learning based Digital Twin Framework for Production Optimization in Petrochemical Industry
International Journal of Information Management, 2019Digital twins, along with the internet of things (IoT), data mining, and machine learning technologies, offer great potential in the transformation of today’s manufacturing paradigm toward intelligent manufacturing.
Zhiyong Liu, Yangguang Lu, Qingfei Min
exaly +2 more sources
SPE Journal, 2023
Surrogate-assisted evolutionary algorithms (SAEAs) have become a popular approach for solving reservoir production optimization problems. The radial-basis-function network (RBFN) is a robust surrogate model technology suitable for reservoir development
Jialin Wang +12 more
semanticscholar +1 more source
Surrogate-assisted evolutionary algorithms (SAEAs) have become a popular approach for solving reservoir production optimization problems. The radial-basis-function network (RBFN) is a robust surrogate model technology suitable for reservoir development
Jialin Wang +12 more
semanticscholar +1 more source
Day 1 Tue, March 28, 2023, 2023
Life-cycle production optimization is a crucial component of closed-loop reservoir management, referring to optimizing a production-driven objective function via varying well controls during a reservoir's lifetime. When nonlinear-state constraints (e.g.
Q. Nguyen, M. Onur, F. Alpak
semanticscholar +1 more source
Life-cycle production optimization is a crucial component of closed-loop reservoir management, referring to optimizing a production-driven objective function via varying well controls during a reservoir's lifetime. When nonlinear-state constraints (e.g.
Q. Nguyen, M. Onur, F. Alpak
semanticscholar +1 more source
Day 2 Wed, January 25, 2023, 2023
In this study, we investigate the use of deep learning-based and kernel-based proxy models in nonlinearly constrained production optimization and compare their performances with directly using the high-fidelity simulators (HFS) for such optimization in
A. Atadeger +3 more
semanticscholar +1 more source
In this study, we investigate the use of deep learning-based and kernel-based proxy models in nonlinearly constrained production optimization and compare their performances with directly using the high-fidelity simulators (HFS) for such optimization in
A. Atadeger +3 more
semanticscholar +1 more source
Day 2 Tue, October 04, 2022, 2022
In this study, we present a framework for efficient estimation of the optimal CO2-WAG parameters for robust production-optimization problems by replacing a high-fidelity model with a least-squares support vector regression (LS-SVR) model.
A. Almasov, M. Onur
semanticscholar +1 more source
In this study, we present a framework for efficient estimation of the optimal CO2-WAG parameters for robust production-optimization problems by replacing a high-fidelity model with a least-squares support vector regression (LS-SVR) model.
A. Almasov, M. Onur
semanticscholar +1 more source
Multifidelity Genetic Transfer: An Efficient Framework for Production Optimization
, 2021Production optimization led by computing intelligence can greatly improve oilfield economic effectiveness. However, it is confronted with huge computational challenge because of the expensive black-box objective function and the high-dimensional design
Faliang Yin +7 more
semanticscholar +1 more source
, 2021
Complex systems and massive amounts of data present a huge challenge for modern chemical enterprises, but traditional data statistical analysis and data mining methods have certain limitations.
Zun Wang +4 more
semanticscholar +1 more source
Complex systems and massive amounts of data present a huge challenge for modern chemical enterprises, but traditional data statistical analysis and data mining methods have certain limitations.
Zun Wang +4 more
semanticscholar +1 more source