Article
Environmental Sciences
Aronne Dell'Oca, Marco Dentz
Summary: In this study, we focus on the upscaling and prediction of ensemble dispersion in two-dimensional heterogeneous porous media, specifically transverse dispersion. We investigate the stochastic dynamics of advective particles in the heterogeneous flow field and find that transverse dispersion exhibits ultraslow diffusion due to the solenoidal character of the flow field. By analyzing particle velocities and orientations through equidistant sampling along particle trajectories obtained from direct numerical simulations, we derive a stochastic model that combines correlated Gaussian noise for transverse motion and a spatial Markov model for particle speeds. We compare the model results with detailed numerical simulations in different heterogeneous porous media.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
Nicholas B. Engdahl
Summary: The article discusses how the mathematical concepts used in modeling quantum systems can be applied to subsurface water resources problems, proposing a probability amplitude-based model for describing transport in porous media. This complex model introduces different dispersion coefficients, affecting the system's behavior even when the dispersion coefficients are identical.
WATER RESOURCES RESEARCH
(2021)
Article
Multidisciplinary Sciences
Stefanie Van Offenwert, Veerle Cnudde, Marijn Boone, Tom Bultreys
Summary: The study found that pore-scale heterogeneity influences solute transport processes. Using X-ray micro-computed tomography, experiments were conducted to investigate the effect of heterogeneity on different porous materials.
Article
Thermodynamics
Rishav Roy, Justin A. Weibel, Suresh Garimella
Summary: This study investigates the efflorescence patterns on sintered copper particle wicks with different particle sizes. It is found that smaller particles lead to earlier and wider spread of efflorescence due to their lower porosity, while larger particles limit efflorescence to certain areas. A scaling analysis explains the observed patterns by considering the nonuniform porosity and permeability induced by particle size, which reduces the advective flux and results in an exclusion distance where efflorescence does not occur.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Article
Thermodynamics
Rishav Roy, Justin A. Weibel, Suresh Garimella
Summary: Understanding the dynamics of precipitation and crystallization as salt solutions evaporate from porous media is important for the preservation of historical monuments, understanding soil nutrient content, and designing porous evaporators. The study uses transient advection-diffusion equations to predict the solute mass fraction profile and formation of crystallized salt crust in porous media. The model is validated through crystallization experiments with a NaCl solution.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2022)
Article
Mechanics
Chunwei Zhang, Kazuki Kaito, Yingxue Hu, Anindityo Patmonoaji, Shintaro Matsushita, Tetsuya Suekane
Summary: Solute transport in porous media is sensitive to heterogeneity at all scales, with pore-scale behavior affecting larger scales. Using a lattice Boltzmann method, simulations show that more heterogeneous media exhibit larger dispersion coefficients, with distinctive time regimes and power-law scaling observed for different types of rocks. The significance of mass transfer rate on mechanical dispersion is evaluated using the Damhohler number.
Article
Geosciences, Multidisciplinary
Joachim Mathiesen, Gaute Linga, Marek Misztal, Francois Renard, Tanguy Le Borgne
Summary: Solute transport in multiphase flow through porous media plays a crucial role in natural systems and geoengineering applications. This study investigates dispersion in multiphase flows using highly resolved numerical simulations of immiscible two-phase flow. The results show that the activation and deactivation of different flow pathways under capillary forces accelerate solute spreading compared to single phase flow. The study establishes transport laws under dynamic multiphase flows and identifies the controlling factors for solute dispersion in porous media.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Engineering, Chemical
Hamidreza Erfani, Nikolaos Karadimitriou, Alon Nissan, Monika S. Walczak, Senyou An, Brian Berkowitz, Vahid Niasar
Summary: High-resolution optical imaging was used to study solute transport under single-phase flow conditions in porous micromodels. It was found that the transport time scale during unloading is larger than that under loading, with the difference between dispersion values decreasing with an increase in flow rate. Patterned heterogeneity micromodels increased the difference between transport time scales during loading and unloading processes.
TRANSPORT IN POROUS MEDIA
(2021)
Article
Environmental Sciences
Zhengkun Zhou, Liangsheng Shi, Yuanyuan Zha, Shuixian Wang, Baokun Xu, Lei Tian, Lanhui Zhang, Jie Tian, Ruiting Yang
Summary: In this paper, a new method for identifying preferential channels (PC) using deep learning model is proposed, training the model to improve the identification of PC locations, and demonstrating the effectiveness and stronger generalizability of the method under high heterogeneity conditions.
WATER RESOURCES RESEARCH
(2022)
Article
Engineering, Chemical
Guy Metcalfe, Daniel Lester, Michael Trefry
Summary: This article introduces a method based on dynamical systems theory to analyze and understand complex flow phenomena in porous media flow and transport. By studying the motion of fluid particle trajectories, the characteristics of flow and mixing can be revealed, which have significant impacts on solute transport. The latest experimental methods allow for visualizing these flow phenomena, providing new tools and techniques for the study of porous media flow.
TRANSPORT IN POROUS MEDIA
(2023)
Article
Geochemistry & Geophysics
Bohyun Hwang, Deepansh J. Srivastava, Hang Deng, Philip J. Grandinetti, David R. Cole
Summary: Sodium can be used as a tracer for brine in reservoir formations, and this study investigates the diffusion behavior of sodium in both bulk solution and porous media using nuclear magnetic resonance (NMR) techniques. The results show that the diffusion rate of sodium decreases with increasing counter-ion size, with a greater effect observed at higher ionic strengths and in porous media. By combining numerical simulation and experimental methods, effective diffusion coefficients and matrix properties can be estimated.
GEOCHIMICA ET COSMOCHIMICA ACTA
(2022)
Article
Mechanics
Mojdeh Rasoulzadeh
Summary: This study investigates the transport of nonreactive tracers in a binary porous medium with randomly packed ellipse fluid-filled cavities. Anomalous transport behaviors, including early arrival time and long tailing, are observed due to the high contrast in medium properties and complex fluid velocity structure. The researchers quantify the transport features using a particle tracking method and propose a continuous time random walk (CTRW) framework to represent an upscaled model. Several key parameters, including cavity aspect ratio, porous background permeability, and the Peclet (Pe) number, are found to have significant effects on the anomalous transport process.
Article
Water Resources
Zijing Li, Chunwei Zhang, Kazuki Kaito, Yingxue Hu, Tetsuya Suekane
Summary: This study investigates the dispersion behavior of contaminants under shear flow using an innovative experimental apparatus and X-ray technique. The results reveal that shear flow enhances the dispersion effect, and the dependence on shear rates and Pe is larger compared to uniform flow.
ADVANCES IN WATER RESOURCES
(2022)
Article
Engineering, Civil
Huaxiang Yan, Haijian Xie, Petr Nikolaev, Hao Ding, Yanghui Shi, Yun Chen
Summary: The study focuses on developing alternative formulations of steady-state analytical modelling for thermally induced solute diffusion in fractured porous media. The findings suggest that the thermal-diffusion process is a non-negligible part for investigating solute transport in non-isothermal fractured porous media. The study also identifies the effects of Peclet number, temperature difference, and fracture aperture and matrix thickness on solute transport.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Multidisciplinary
Jinwei Qiu, Xunlong Chen, Jun Tong
Summary: In this study, a series of analytical solutions were proposed for coupled consolidation and solute transport in 1D saturated deformable porous media. The proposed solutions were successfully validated against experimental results and verified against a numerical model. The results showed that consolidation had a significant impact on solute transport, primarily through advection and sorption, while dispersion and degradation had a limited effect.
APPLIED MATHEMATICAL MODELLING
(2022)
Article
Water Resources
Jyrki Savolainen, Daniele Pedretti, Mikael Collan
MINE WATER AND THE ENVIRONMENT
(2019)
Article
Geosciences, Multidisciplinary
Daniele Pedretti, Samrit Luoma, Timo Ruskeeniemi, Birgitta Backman
GEOSCIENCE FRONTIERS
(2019)
Article
Environmental Sciences
C. Brunetti, M. Bianchi, G. Pirot, N. Linde
WATER RESOURCES RESEARCH
(2019)
Article
Engineering, Environmental
Daniele Pedretti, K. Ulrich Mayer, Roger D. Beckie
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2020)
Article
Geosciences, Multidisciplinary
Sarah L. Collins, Marco Bianchi
Article
Geosciences, Multidisciplinary
Giovanna De Filippis, Stefania Stevenazzi, Corrado Camera, Daniele Pedretti, Marco Masetti
HYDROGEOLOGY JOURNAL
(2020)
Review
Engineering, Environmental
Muhammad Muniruzzaman, Daniele Pedretti
Summary: This article discusses the potential harm of polluted drainage from sulfide-rich waste rock deposits to waterways and biodiversity near mining sites, introduces the application of mechanistic models in predicting the quantity and quality of waste rock drainage, and emphasizes the impact of heterogeneity on model predictions. It reviews the evaluation of physical, geochemical, and thermal heterogeneities, and emphasizes the importance of stochastic modeling as a fundamental approach to embed uncertainty in long-term model-based decisions.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2021)
Article
Environmental Sciences
Nico Dalla Libera, Daniele Pedretti, Fabio Tateo, Leonardo Mason, Leonardo Piccinini, Paolo Fabbri
WATER RESOURCES RESEARCH
(2020)
Article
Environmental Sciences
Marco Bianchi, Alan M. MacDonald, David M. J. Macdonald, Enoch B. Asare
WATER RESOURCES RESEARCH
(2020)
Article
Environmental Sciences
Nico Dalla Libera, Daniele Pedretti, Giulia Casiraghi, Abel Marko, Leonardo Piccinini, Paolo Fabbri
Summary: Stochastic multicomponent reactive transport modeling is a useful tool for quantifying the probability of arsenic concentrations exceeding critical thresholds in groundwater. The study in a shallow alluvial aquifer near Venice revealed that initial geochemical conditions are a major source of uncertainty in arsenic concentrations. The simulation results showed a decrease in the fraction of aquifer volume with high arsenic concentrations over time, as well as an increase in PNE with different target thresholds.
Article
Environmental Sciences
Giulia Casiraghi, Daniele Pedretti, Giovanni P. Beretta, Martina Bertolini, Gerardo Bozzetto, Lucia Cavalca, Laura Ferrari, Marco Masetti, Jacopo Terrenghi
Summary: This study reports and analyzes the results obtained from the multiscale characterization activities for the construction of Italy's largest sequential ISB system. The study provides a useful example for the construction of new sequential ISBs. The results show that the sequential ISB system can effectively remove petroleum hydrocarbons and chlorinated aliphatic hydrocarbons from contaminated aquifers.
WATER AIR AND SOIL POLLUTION
(2022)
Article
Mathematics, Interdisciplinary Applications
Eugenio Pescimoro, Matteo Icardi, Giovanni Porta, Marco Bianchi
Summary: In this study, numerical simulations were used to investigate advective-diffusive scalar transport in three-dimensional high-contrast discontinuous permeability fields. Various parameters were tested to assess their impact on transport behavior, and the permeability contrast was found to be the main controlling factor.
GEM-INTERNATIONAL JOURNAL ON GEOMATHEMATICS
(2022)
Article
Geosciences, Multidisciplinary
Marco Bianchi, Romesh N. Palamakumbura, Alan M. MacDonald, David M. J. Macdonald
Summary: A data-driven modelling approach was used to assess the potential groundwater yield from crystalline basement aquifers in West Africa. The study identified seven major geological domains based on lithological, stratigraphic, and structural characteristics. By calibrating the numerical simulations to match measured yields, the researchers found that about 50% of well-sited boreholes could sustain yields exceeding 0.5 L/s, and 25% could sustain the yield required for small irrigation systems (> 1.0 L/s). The study also highlighted regional differences in productivity ranges and the importance of water table depth and aquifer extent.
HYDROGEOLOGY JOURNAL
(2023)
Article
Geosciences, Multidisciplinary
Daniele Pedretti, Marco Bianchi
Summary: This study introduces a toolbox called GEOENT for calculating geological entropy metrics, and updates the definition of geological entropy metrics to consider anisotropy in heterogeneous systems. The study also presents examples of the toolbox's applications in different datasets.
Article
Mathematics, Interdisciplinary Applications
Daniele Pedretti
GEM-INTERNATIONAL JOURNAL ON GEOMATHEMATICS
(2020)