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Subsurface sedimentary structure identification using deep learning: A review
The reliable identification of subsurface sedimentary structures (ie, geologic heterogeneity)
is critical in various earth and environmental sciences, petroleum reservoir engineering, and …
is critical in various earth and environmental sciences, petroleum reservoir engineering, and …
A review and numerical assessment of the random walk particle tracking method
P Salamon, D Fernàndez-Garcia… - Journal of contaminant …, 2006 - Elsevier
We review the basic mathematical concepts of random walk particle tracking (RWPT) and its
advantages and limitations. Three different numerical approaches to overcome the local …
advantages and limitations. Three different numerical approaches to overcome the local …
Data‐worth analysis for heterogeneous subsurface structure identification with a stochastic deep learning framework
Reliable characterization of subsurface structures is essential for earth sciences and related
applications. Data assimilation‐based identification frameworks can reasonably estimate …
applications. Data assimilation‐based identification frameworks can reasonably estimate …
Modeling hydrologically mediated hot moments of transient anomalous diffusion in aquifers using an impulsive fractional‐derivative equation
Hydrologically mediated hot moments (HM‐HMs) of transient anomalous diffusion (TAD)
denote abrupt shifts in hydraulic conditions that can profoundly influence the dynamics of …
denote abrupt shifts in hydraulic conditions that can profoundly influence the dynamics of …
Uncertainty assessment and data worth in groundwater flow and mass transport modeling using a blocking Markov chain Monte Carlo method
Groundwater flow and mass transport predictions are always subject to uncertainty due to
the scarcity of data with which models are built. Only a few measurements of aquifer …
the scarcity of data with which models are built. Only a few measurements of aquifer …
Modeling mass transfer processes using random walk particle tracking
P Salamon, D Fernàndez‐Garcia… - Water Resources …, 2006 - Wiley Online Library
The complexity of mass transfer processes often complicates solute transport simulations.
We present a new approach for the implementation of the multirate mass transfer model into …
We present a new approach for the implementation of the multirate mass transfer model into …
Estimating the scale dependence of permeability at pore and core scales: Incorporating effects of porosity and finite size
B Ghanbarian - Advances in Water Resources, 2022 - Elsevier
Understanding the effect of sample size on hydraulic characteristics of porous media and
estimating their scale-dependent properties have been challenging in subsurface hydrology …
estimating their scale-dependent properties have been challenging in subsurface hydrology …
How landscape heterogeneity governs stream water concentration-discharge behavior in carbonate terrains (Konza Prairie, USA)
Mounting evidence suggests ecosystem changes that alter subsurface water fluxes and
carbon dioxide concentrations in carbonate terrains may drive measurable changes in …
carbon dioxide concentrations in carbonate terrains may drive measurable changes in …
Efficient random walk particle tracking algorithm for advective‐dispersive transport in media with discontinuous dispersion coefficients and water contents
Random walk particle tracking (RWPT) is a well established and efficient alternative to grid‐
based Eulerian approaches when simulating the advection‐dispersion transport problem in …
based Eulerian approaches when simulating the advection‐dispersion transport problem in …
Elimination of the reaction rate “scale effect”: Application of the Lagrangian reactive particle‐tracking method to simulate mixing‐limited, field‐scale biodegradation at …
Measured (or empirically fitted) reaction rates at groundwater remediation sites are typically
much lower than those found in the same material at the batch or laboratory scale. The …
much lower than those found in the same material at the batch or laboratory scale. The …