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Zeeshan Tariq

Research Scientist

King Abdullah University of Science and Technology

Saudi Arabia

Research Interests

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Articles (20)

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2027

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2026

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Collaborators (8)

Muhammad Ali

Research Scientist

King Abdullah University of Science and Technology

SAUDI ARABIA

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Bicheng Yan

Assistant Professor

King Abdullah University of Science and Technology

SAUDI ARABIA

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Mohamed Mahmoud

Professor

King Fahd University of Petroleum and Minerals

SAUDI ARABIA

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Arshad Raza

SAUDI ARABIA

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Hussein Hoteit

Professor

King Abdullah University of Science and Technology

SAUDI ARABIA

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Chen Zhu

Indiana University Bloomington

UNITED STATES

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Thomas Finkbeiner

Research Professor

King Abdullah University of Science and Technology

SAUDI ARABIA

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Shuyu Sun

Professor and Dean

SAUDI ARABIA

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Zeeshan Tariq

Research Interests

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Articles (20)

Impurity effects on CO2 trapping indices: A numerical study for geological storage

Numerical Investigation of Thermally Induced Fracturing via Endothermic Thermal Shock in Ultratight High-Temperature Gas Reservoirs

Experimental study and machine learning modeling of organic-nano-aged Saudi Arabian Basalt: An implication to gas geo-storage

Techno-economic assessment of field-scale storage for liquid organic hydrogen carriers: dual benefits of energy storage & incremental oil recovery

CoSwinNet: A conditional Swin Transformer multimodal surrogate model for subsurface multiphase flow

Comprehensive evaluation of the source rock potential of the Sembar Formation: a machine learning-aided approach in the Lower Indus Basin, Pakistan

From simulator to surrogate: GANs for spatiotemporal modeling of subsurface flow in porous media

Integrating Organic Hydrogen Carriers into Reservoir–Caprock Systems: A Promising Subsurface Hydrogen Storage Strategy

Minimum Miscibility Pressure Models for Impure CO2-EOR Systems

The Impact of CO<sub>2</sub> on Infrastructure Integrity: Pipelines and Storage Site Durability in CCUS Applications

Transformer-Based Surrogate Model for the Optimization of Geological Carbon Sequestration

A comparative study of deep learning-based simulation for geological CO2 sequestration

Accelerated Prediction of Clay-Bound Water in Complex Reservoirs using Sequential Learning Techniques

A novel robust optimization framework based on surrogate modeling for underground hydrogen storage in depleted natural gas reservoirs

A U-Net Enhanced Graph Neural Network to Simulate Geological Carbon Sequestration

Fast tracking of safe CO2 trapping indices using machine learning for smarter reservoir management

Towards Rapid Prediction of Nuclear Magnetic Resonance-Based Bimodal Porosities: An Example from the Middle Eastern Carbonate Reservoir

A Review of Data-Driven Machine Learning Applications in Reservoir Petrophysics

A hybrid CNN-transformer surrogate model for the multi-objective robust optimization of geological carbon sequestration

Data-Driven Prediction of Storage Column Height for H2-Brine Systems: Accelerating Underground Hydrogen Storage

Collaborators (8)

Muhammad Ali

Bicheng Yan

Mohamed Mahmoud

Arshad Raza

Hussein Hoteit

Chen Zhu

Thomas Finkbeiner

Shuyu Sun

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