Abbas Zeinijahromi

Associate Professor

University of Adelaide

Australia

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About

Dr. Abbas Zeinijahromi is an Associate Professor at The University of Adelaide in Australia. His research areas focus on advanced modeling of CO2 storage, deep learning applications in sustainable energy systems, and the investigation of geological formations related to CO2 geo-sequestration. Recent publications include studies on CO2-dissolved brine density, hydrogen solubility, and the effects of salinity on permeability in subsurface formations.

Articles (18)

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2025

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2025

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2024

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2024

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2024

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2024

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2024

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2024

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2023

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2022

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2022

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2021

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2021

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2021

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2021

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2021

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2020

Collaborators (6)

Amin Shokrollahi

University of Adelaide

AUSTRALIA

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Manouchehr Haghighi

University of Adelaide

AUSTRALIA

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Noune Melkoumian

Senior Lecturer Level C

University of Adelaide

AUSTRALIA

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Rouhi Farajzadeh

Delft University of Technology

NETHERLANDS

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Alireza Salmachi

Assistant professor

University of Adelaide

AUSTRALIA

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sara borazjani

University of Adelaide

AUSTRALIA

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Abbas Zeinijahromi

Research Interests

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About

Articles (18)

Explainable Advanced Modelling of CO2-Dissolved Brine Density: Applications for Geological CO2 Storage in Aquifers

Experiments on image data augmentation techniques for geological rock type classification with convolutional neural networks

Hydrogen solubility in different chemicals: A modelling approach and review of literature data

CO2 Storage in Subsurface Formations: Impact of Formation Damage

Advancing CO<sub>2</sub> Solubility Prediction in Brine Solutions with Explainable Artificial Intelligence for Sustainable Subsurface Storage

Deep Learning for Predicting Hydrogen Solubility in n-Alkanes: Enhancing Sustainable Energy Systems

Experimental investigation of alterations in coal fracture network induced by thermal treatment: Implications for CO2 geo-sequestration

Permeability Evolution of Shale during High-Ionic-Strength Water Sequential Imbibition

Evaluation of phase equilibrium conditions of clathrate hydrates in natural gas binary mixtures: Machine learning approach

Effects of salinity alternation on relative permeability and capillary pressure as determined from steady-state-transient test

Hydrogen solubility in n-alkanes: Data mining and modelling with machine learning approach

3D effects in two-phase steady-state tests

Determining water-oil relative permeability and capillary pressure from steady-state coreflood tests

Experimental Study of the Effect of Clay and Oil Polarity on Oil Recovery by Low Salinity Water Flooding Using Glass Micromodel

Fines migration in aquifers: Production history treatment and well behaviour prediction

Simultaneous determination of gas–water relative permeability and capillary pressure from steady-state corefloods

Uncertainties associated with laboratory-based predictions of well index and formation damage

Admissible Parameters for Two-Phase Coreflood and Welge–JBN Method

Collaborators (6)

Amin Shokrollahi

Manouchehr Haghighi

Noune Melkoumian

Rouhi Farajzadeh

Alireza Salmachi

sara borazjani

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