Behzad Ghanbarian

Associate Professor

University of Kansas

United States

Research Interests

Explore related searches

Professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Dr. Behzad Ghanbarian is an Associate Professor at Kansas State University in the United States. His research focuses on geomechanics, percolation theory, and the application of machine learning in estimating oil recovery factors. Recent articles authored by Dr. Ghanbarian explore topics such as inter-well connectivity in underground reservoirs, biocrusts' impact on soil water fluxes, and variations in pore architecture of geological formations.

Articles (30)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Collaborators (3)

Nathaniel Parker

UNITED STATES

View details

Abouzar Mirzaei-Paiaman

Research Assistant Professor

University of Texas at Austin

UNITED STATES

View details

Bo Iversen

Aarhus University

DENMARK

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Behzad Ghanbarian

Research Interests

Explore related searches

Contact this professor

About

Articles (30)

Analysis of inter-well connectivity in underground geological reservoirs via percolation theory

Refined assessment of biocrusts-induced changes in dryland soil water and heat fluxes during evaporation

Applications of percolation-based effective-medium approximation to electrical conductivity in porous media with surface conduction

Geomechanical Deformation and Reactive Transport in Shale Rough-Walled Microfractures: Insights into Permeability Evolution from Simulations

Characterizing Pore-Throat Size Distributions in Mesaverde Tight Gas Sandstones Using Generalized Normal Distribution

Scale-dependent permeability in geologic formations: Renormalization group theory and finite-size scaling analysis

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

3D Image‐Based Pore‐Network Simulations to Analyse Soil Pore Architecture Variations due to Wetting and Drying Cycles

Relationship between wetting front position and time during horizontal infiltration: Scaling law from percolation theory

Modeling and Scaling Spontaneous Imbibition With Generalized Fractional Flow Theory and Non-Boltzmann Transformation

Non‐Linearity in Mean Annual Peak Flow Scaling With Upstream Basin Area: Insights From Percolation Theory

Biocrusts enhance soil structural stability during freeze-thaw cycles and improve soil erosion resistance in cold-winter drylands

Biocrusts intensify grassland evapotranspiration through increasing evaporation and reducing transpiration in a semi-arid ecosystem

Representative Sample Size for Estimating Saturated Hydraulic Conductivity via Machine Learning: A Proof‐Of‐Concept Study

A percolation model of unsaturated hydraulic conductivity using three-parameter Weibull distribution

Estimating the universal scaling of gas diffusion in coarse-textured soils

Increasing effect of biocrusts on evaporation is evidenced by simulating evaporation and diffusion experiments and water stable isotope analysis

Estimating geometric tortuosity of saturated rocks from micro-CT images using percolation theory

Fluid flow and solute transport simulations in tight geologic formations: Discrete fracture network and continuous time random walk analyses

Predicting Ecosystem Net Primary Productivity by Percolation Theory and Optimality Principle

Robust calibration and evaluation of a percolation-based effective‐medium approximation model for thermal conductivity of unsaturated soils

Validation of the percolation‐based effective‐medium approximation model to estimate soil thermal conductivity

Estimating scale dependence of saturated hydraulic conductivity in soils

Predicting Streamflow Elasticity Based on Percolation Theory and Ecological Optimality

Estimating Permeability and Its Scale Dependence at Pore Scale Using Renormalization Group Theory

On Design Challenges of Portable Nuclear Magnetic Resonance System

Effect of Pore‐Wall Roughness and Péclet Number on Conservative Solute Transport in Saturated Porous Media

A new method for characterizing dynamic reservoir quality: Implications for quality maps in reservoir simulation and rock type classification

Machine learning in vadose zone hydrology: A flashback

Soil water retention curve inflection point: Insight into soil structure from percolation theory

Collaborators (3)

Nathaniel Parker

Abouzar Mirzaei-Paiaman

Bo Iversen

Make your next move.