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A Novel Robust Optimization Framework for Underground Hydrogen Storage

In “A novel robust optimization framework based on surrogate modeling for underground hydroge

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Machine Learning-Based Estimation of Oil Recovery Factor Using XGBoost: Insights from Classification and Data-Driven Analyses

"Machine Learning-Based Estimation of Oil Recovery Factor Using XGBoost: Insights from Classi

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Enhancing Effective Thermal Conductivity Predictions in Digital Porous Media Using Transfer Learning

Understanding the thermal behavior of subsurface porous media is critical for technologies such a

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Anchored Physics-Informed Neural Network for Two-Phase Flow Simulation in Heterogeneous Porous Media

In "Anchored Physics-Informed Neural Network for Two-Phase Flow Simulation in Heterogeneous P

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A Hydro-Geomechanical Porous-Media Model to Study Effects of Engineered Carbonate Precipitation in Faults

“A Hydro-Geomechanical Porous-Media Model to Study Effects of Engineered Carbonate Precip

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Experimental Study of Microbial Hydrogen Consumption Rates by Oleidesulfovibrio Alaskensis in Porous Media

“Experimental Study of Microbial Hydrogen Consumption Rates by Oleidesulfovibrio Alaskens

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Experimental Investigation of Solubility Trapping in 3D Printed Micromodels

“Experimental Investigation of Solubility Trapping in 3D Printed Micromodels” 

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Regional-Scale Subsurface Modeling

“Regional-Scale Subsurface Modeling” by Inga Berre, Paola F.

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Wet and Dry Cup Test With Hygroscopic Materials: What Do We Really Measure?

Wet and Dry Cup Test With Hygroscopic Materials: What Do We Really Measure?

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