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Relative permeability and capillary pressure estimation via physics-informed machine learning and reinforcement learning

Ramanzani Kalule Hamid Ait Abderrahmane Shehzad Ahmed Waleed Alameri Emad Walid Al-Shalabi

Petroleum2026，Vol.12Issue(3)：P.430-443,14.

Petroleum2026，Vol.12Issue(3)：P.430-443,14.DOI:10.1016/j.petlm.2026.04.005

Relative permeability and capillary pressure estimation via physics-informed machine learning and reinforcement learning

Ramanzani Kalule ¹Hamid Ait Abderrahmane ²Shehzad Ahmed ¹Waleed Alameri ³Emad Walid Al-Shalabi³

作者信息

1. Chemical and Petroleum Engineering Department,Khalifa University of Science and Technology,Abu Dhabi,United Arab Emirates
2. Department of Mechanical and Nuclear Engineering,Khalifa University of Science and Technology,Abu Dhabi,United Arab Emirates
3. Chemical and Petroleum Engineering Department,Khalifa University of Science and Technology,Abu Dhabi,United Arab Emirates Research and Innovation Center on CO2 and Hydrogen(RICH),Khalifa University of Science and Technology,Abu Dhabi,United Arab Emirates
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摘要

关键词

Relative permeability/Capillary pressure/Reinforcement learning/Physics-informed machine learning/Waterflooding

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Ramanzani Kalule,Hamid Ait Abderrahmane,Shehzad Ahmed,Waleed Alameri,Emad Walid Al-Shalabi..Relative permeability and capillary pressure estimation via physics-informed machine learning and reinforcement learning[J].Petroleum,2026,12(3):P.430-443,14.

基金项目

supported by the Research and Innovation Center on CO₂and Hydrogen,Khalifa University of Science and Technology(KU-RICH)。（KU-RICH）

Petroleum

ISSN：2405-6561

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