Efficient AI-Physics hybrid model with productive capabilities to reduce the time of history matching and scenario assessment; a case study: Minagish oil field,Petroleum Science and Technology

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Efficient AI-Physics hybrid model with productive capabilities to reduce the time of history matching and scenario assessment; a case study: Minagish oil field
Petroleum Science and Technology ( IF 1.5 ) Pub Date : 2024-03-08 , DOI: 10.1080/10916466.2024.2324818
Ali Qubian ₁ , Mohammed Ahmad Zekraoui ₁ , Sina Mohajeri ₂ , Emad Mortezazadeh ₂ , Reza Eslahi ₂ , Maryam Bakhtiari ₂ , Abrar Al Dabbous ₁ , Asma Al Sagheer ₁ , Ali Alizadeh ₂ , Mostafa Zeinali ₂

Affiliation

This paper proposes a novel approach that combines physics-based numerical simulation with deep-learning neural networks to create an AI-Physics hybrid model for reservoir simulation. Our primary o...

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