91 citations · 420 across the 25 of their papers we have counts for
25 papers
Quantum-Enhanced Vision Transformer for Flood Detection using Remote Sensing Imagery
Soumyajit Maity, Behzad Ghanbarian
Reliable flood detection is critical for disaster management, yet classical deep learning models often struggle with the high-dimensional, nonlinear complexities inherent in remote…
Regional-Scale Estimation of Soil Hydraulic Conductivity Using the Kansas Mesonet
Behzad Ghanbarian, Andres Patrignani
In soil physics, saturated hydraulic conductivity, K_sat, is among the most important hydraulic properties with broad applications to modeling flow and transport under saturated co…
Boundary-Induced Biases in Climate Networks of Extreme Precipitation and Temperature
Behzad Ghanbarian, Victor Oladoja, Kehinde Bosikun +2
To address spatial boundary effects in climate networks, two surrogate-based correction methods, (1) subtraction and (2) division, have been widely applied in the literature. In th…
Modeling and scaling spontaneous imbibition with generalized fractional flow theory and non-Boltzmann transformation
Shaluka Senevirathna, Anna Zemlyanova, Shaina A. Kelly +3
Spontaneous imbibition (SI) is a process by which liquid is drawn into partially saturated porous media by capillary forces, relevant for subsurface processes like underground flui…
Numerical Simulations of Geomechanical Deformation, Fluid Flow and Reactive Transport in Shale Rough-Walled Microfractures
Morteza Heydari, Feng Liang, Hui-Hai Liu +1
Improving hydrocarbon production with hydraulic fracturing from unconventional reservoirs requires investigating transport phenomena at the single fracture level. In this study, we…
Scaling mean annual peak flow scaling with upstream basin area
Behzad Ghanbarian
Understanding how annual peak flow, , relates to upstream basin area, , and their scaling have been one of the challenges in surface hydrology. Although a power-law scaling…
Estimating oil recovery factor using machine learning: Applications of XGBoost classification
Alireza Roustazadeh, Behzad Ghanbarian, Frank Male +3
In petroleum engineering, it is essential to determine the ultimate recovery factor, RF, particularly before exploitation and exploration. However, accurately estimating requires d…
Estimating oil and gas recovery factors via machine learning: Database-dependent accuracy and reliability
Alireza Roustazadeh, Behzad Ghanbarian, Mohammad B. Shadmand +2
With recent advances in artificial intelligence, machine learning (ML) approaches have become an attractive tool in petroleum engineering, particularly for reservoir characterizati…
Effects of particle shape and size distribution on hydraulic properties of grain packs: An experimental study
Elnaz Rezaei, Kamran Zeinalzadeh, Behzad Ghanbarian
Uniform and multi-dispersed grain packs have been frequently used to conceptually study flow in porous media. Numerical simulations were previously used to address the effect of pa…
Determining effective permeability at reservoir scale: Numerical simulations and theoretical modeling
Barnabas Adeyemi, Behzad Ghanbarian, C. L. Winter +1
Determining the effective permeability (keff) of geological formations has broad applications to site remediation, aquifer discharge or recharge, hydrocarbon production, and enhanc…
Incorporating effects of surface roughness and probing molecule size for estimation of soil specific surface area
Behzad Ghanbarian, Allen G. Hunt, Marco Bittelli +2
The pore-solid interface and its characteristics play a key role in chemical interactions between minerals in the solid soil matrix and the liquid in pore space and, consequently,…
Scale-dependent permeability and formation factor in porous media: Applications from percolation theory
Misagh Esmaeilpour, Behzad Ghanbarian, Feng Liang +1
Understanding porous media properties and their scale dependence have been an active subject of research in the past several decades in hydrology, geosciences and petroleum enginee…
Gas relative permeability in unconventional reservoir rocks
Behzad Ghanbarian, Feng Liang, Hui-Hai Liu
Accurate modeling of gas relative permeability has practical applications in oil and gas exploration, production and recovery of unconventional reservoirs. In this study, we apply…
Modeling single-phase permeability in uniform grain packs
Behzad Ghanbarian
Accurate estimation of single-phase permeability (k) has broad application in numerous areas, particularly modeling flow and transport in porous materials. Various techniques have…
Modeling water relative permeability in uniform grain packs
Behzad Ghanbarian
Accurate estimation of water relative permeability has been of great interest in various research areas because of its broad applications in soil physics and hydrology as well as o…
Surface fractal dimension and its theoretical relationship with adsorbed water content
Behzad Ghanbarian
Surface fractal dimension Ds is a quantity describing the roughness of pore-solid interface where all interactions between solid matrix and fluid in the pore space occur. Ds also q…
Wetting-phase relative permeability in porous media with bi-modal pore size distributions
Behzad Ghanbarian
Modeling fluid flow in dual-porosity media with bi-modal pore size distributions has practical applications to understanding transport in multi-scale systems such as natural soils.…
Gas transport in partially-saturated sand packs
Behzad Ghanbarian, Shoichiro Hamamoto, Ken Kawamoto +4
Understanding gas transport in porous media and its mechanism has broad applications in various research areas, such as carbon sequestration in deep saline aquifers and gas explora…
Application of effective medium theory to estimate gas permeability in tight-gas sandstones
Behzad Ghanbarian, Carlos Torres-Verdin, Larry W. Lake +1
Upscaling Klinkenberg-corrected gas permeability, k, in unconventional tight sandstones has numerous practical applications, particularly in gas exploration and production. In this…
A geometrical aperture-width relationship for rock fractures
Behzad Ghanbarian, Edmund Perfect, Hui-Hai Liu
The relationship between fracture aperture (maximum opening; dmax) and fracture width (w) has been the subject of debate over the past several decades. An empirical power law has b…
Theoretical bounds for the exponent in the empirical power-law advance-time curve for surface flow
Behzad Ghanbarian, Hamed Ebrahimian, Allen G. Hunt +1
A fundamental and widely applied concept used to study surface flow processes is the advance-time curve characterized by an empirical power law with an exponent r and a numerical p…
Hysteretic behavior of electrical conductivity in packings of particles
Behzad Ghanbarian, Muhammad Sahimi
We address the problem of predicting saturation-dependent electrical conductivity σ in packings of spheres during drainage and imbibition. The effective-medium approximation (EMA)…
Scale-Dependent Pedotransfer Functions Reliability for Estimating Saturated Hydraulic Conductivity
Behzad Ghanbarian, Vahid Taslimitehrani, Yakov A. Pachepsky
Saturated hydraulic conductivity Ksat is a fundamental characteristic in modeling flow and contaminant transport in soils and sediments. Therefore, many models have been developed…
Measurement Scale Effect on Prediction of Soil Water Retention Curve and Saturated Hydraulic Conductivity
Behzad Ghanbarian, Vahid Taslimitehrani, Guozhu Dong +1
Soil water retention curve (SWRC) and saturated hydraulic conductivity (SHC) are key hydraulic properties for unsaturated zone hydrology and groundwater. In particular, SWRC provid…