Hybrid optimization approach using evolutionary neural network & genetic algorithm in a real-world waterflood development

Author:

Al-Aghbari MohammedORCID,Gujarathi Ashish M.ORCID

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference69 articles.

1. Multi-objective optimization of Brugge field for short-term and long-term waterflood management;Al-Aghbari;Arabian J. Sci. Eng.,2021

2. Hybrid multi-objective optimization approach in water flooding;Al-Aghbari;J. Energy Resour. Technol.,2021

3. Using artificial neural nets to identify the well-test interpretation model;Al-Kaabi;SPE Form. Eval.,1993

4. Evolutionary multi-criteria optimization aspects for sulfuric acid plant toward more economic, environmentally friendly and efficient process;Al Ani;Chem. Pap.,2021

5. The Development of an Artificial Neural Network as a Pressure Transient Analysis Tool for Applications in Double-Porosity Reservoirs;Alajmi,2007

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