Alberto Guadagnini

ORCID: 0000-0003-3959-9690
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About
Contact & Profiles
Research Areas
  • Groundwater flow and contamination studies
  • Reservoir Engineering and Simulation Methods
  • Hydraulic Fracturing and Reservoir Analysis
  • Soil and Unsaturated Flow
  • Soil Geostatistics and Mapping
  • Enhanced Oil Recovery Techniques
  • Probabilistic and Robust Engineering Design
  • Geophysical and Geoelectrical Methods
  • Geochemistry and Geologic Mapping
  • Hydrocarbon exploration and reservoir analysis
  • Groundwater and Isotope Geochemistry
  • CO2 Sequestration and Geologic Interactions
  • Advanced Mathematical Modeling in Engineering
  • Hydrology and Watershed Management Studies
  • Mineral Processing and Grinding
  • NMR spectroscopy and applications
  • Seismic Imaging and Inversion Techniques
  • Water resources management and optimization
  • Hydrology and Drought Analysis
  • Complex Systems and Time Series Analysis
  • Water Systems and Optimization
  • Drilling and Well Engineering
  • Hydrological Forecasting Using AI
  • Model Reduction and Neural Networks
  • Mine drainage and remediation techniques

Politecnico di Milano
2016-2025

Viterbo University
2024-2025

University of Southern California
2025

University of Arizona
2015-2024

Charles River Laboratories (Netherlands)
2024

Rogers (United States)
2021

John Wiley & Sons (United States)
2016-2020

Dipartimento della Protezione Civile
2017

Instituto Politécnico Nacional
2013

Heterogeneity is the single most salient feature of hydrogeology. An enormous amount work has been devoted during last 30 years to addressing this issue. Our objective synthesize and offer a critical appraisal results related problem finding representative hydraulic conductivities. By conductivity we mean parameter controlling average behavior groundwater flow within an aquifer at given scale. Three concepts are defined: effective conductivity, which relates ensemble averages flux head...

10.1029/2005rg000169 article EN Reviews of Geophysics 2006-09-01

Abstract Global Sensitivity Analysis (GSA) is key to assisting appraisal of the behavior hydrological systems through model diagnosis considering multiple sources uncertainty. Uncertainty typically comprise incomplete knowledge in (a) conceptual and mathematical formulation models (b) parameters embedded models. In this context, there need for detailed investigations aimed at a robust quantification importance parameter uncertainties rigorous multi‐model context. This study aims evaluating...

10.1029/2023wr036096 article EN cc-by-nc-nd Water Resources Research 2024-02-01

Modeling transport of reactive solutes is a challenging problem, necessary for understanding the fate pollutants and geochemical processes occurring in aquifers, rivers, estuaries, oceans. Geochemical involving multiple species are generally analyzed using advanced numerical codes. The resulting complexity has inhibited development analytical solutions multicomponent heterogeneous reactions such as precipitation/dissolution. We present procedure to solve groundwater case homogeneous...

10.1029/2005wr004056 article EN Water Resources Research 2005-11-01

Numerical Monte Carlo simulation is considered to be one of the main tools used in groundwater hydrology (1) quantify uncertainty flow predictions due imperfect knowledge aquifer architecture, hydraulic parameters, and forcing terms or (2) assess reliability approximated moment‐based equations for and/or transport. While framework conceptually straightforward very flexible, it recognized as lacking well‐established convergence criteria. Here we propose a methodology analysis simulations...

10.1029/2003wr002876 article EN Water Resources Research 2004-04-01

Anomalous (or "non-Fickian") transport is ubiquitous in the context of tracer migration geological formations. We quantitatively identify origin anomalous a representative model heterogeneous porous medium under uniform (in mean) flow conditions; we focus on which arises complex patterns lognormally distributed hydraulic conductivity (K) fields, with several decades K values. Transport domains determined by particle tracking technique and characterized breakthrough curves (BTCs). The BTC...

10.1002/2013wr015111 article EN Water Resources Research 2014-02-01

Multiphase flow in porous media is strongly influenced by the wettability of system, which affects arrangement interfaces different phases residing pores. We present a method for estimating effective contact angle, quantifies and controls local capillary pressure within complex pore space natural rock samples, based on physical constraint constant curvature interface between two fluids. This algorithm able to extract large number measurements from single core, resulting characteristic...

10.1016/j.jcis.2017.02.005 article EN cc-by-nc-nd Journal of Colloid and Interface Science 2017-02-08

Abstract We document results of a set laboratory experiments aimed at exploring impacts injection rate and bacterial density on biomineralization across water‐saturated porous media. The study relies Low‐Field Nuclear Magnetic Resonance technology the ensuing transverse spin‐spin relaxation time distributions. latter is documented to provide robust quantification temporal histories pore size distributions during biomineralization. As such, our work explores quantifies pore‐size dependent...

10.1029/2024wr037674 article EN cc-by-nc-nd Water Resources Research 2025-01-01

We consider the effect of measuring randomly varying hydraulic conductivities K ( x ) on one's ability to predict numerically, without resorting either Monte Carlo simulation or upscaling, steady state flow in bounded domains driven by random source and boundary terms. Our aim is allow optimum unbiased prediction heads h fluxes q(x means their ensemble moments, 〈 )〉 c , respectively, conditioned measurements ). These predictors have been shown Neuman Orr [1993a] satisfy exactly an...

10.1029/1999wr900160 article EN Water Resources Research 1999-10-01

In this work, we show how the use of global sensitivity analysis (GSA) in conjunction with polynomial chaos expansion (PCE) methodology can provide relevant information for interpretation transport experiments laboratory‐scale heterogeneous porous media. We perform GSA by calculating Sobol indices, which a variance‐based importance measure effects uncertain parameters on output chosen interpretive model. The choice PCE has following two benefits: (1) it provides indices straightforward...

10.1029/2010wr009639 article EN Water Resources Research 2011-02-01

We provide a quantitative interpretation of the column experiment reported by Gramling et al. (2002). The involves advection‐dominated transport in porous media three dissolved species, i.e., two reactants undergoing fast irreversible reaction and resulting product. authors found that their observations could not be properly fitted with model based on an advection‐dispersion‐reaction equation (ADRE) assuming was instantaneous, actual measured total product being lower than predictions for...

10.1029/2010wr009539 article EN Water Resources Research 2010-12-01

Abstract. We propose new metrics to assist global sensitivity analysis, GSA, of hydrological and Earth systems. Our approach allows assessing the impact uncertain parameters on main features probability density function, pdf, a target model output, y. These include expected value y, spread around mean degree symmetry tailedness pdf Since reliable assessment higher-order statistical moments can be computationally demanding, we couple our GSA with surrogate model, approximating full response...

10.5194/hess-21-6219-2017 article EN cc-by Hydrology and earth system sciences 2017-12-08

We perform a set of detailed numerical simulations single-phase, fully saturated flow in stochastically generated, three-dimensional pore structures with diverse porosities (\ensuremath{\phi}) and degrees connectivity, analyze the probability density functions (PDFs) sizes, $S$, vertical velocity components, $w$, which are aligned mean direction. Both PDFs markedly skewed pronounced positive tails. This feature PDF is dictated by structure determines shortest travel times, one key transport...

10.1103/physreve.89.013018 article EN Physical Review E 2014-01-23

In paper 1 [ Guadagnini and Neuman , this issue] of two‐part series we presented exact nonlocal equations for first second conditional ensemble moments hydraulic head flux under steady state groundwater flow in bounded, randomly nonuniform domains the presence uncertain source boundary terms. We derived recursive approximations these based on expansion powers a small parameter σ Y which represents standard estimation error log conductivity; developed two‐dimensional finite element scheme...

10.1029/1999wr900159 article EN Water Resources Research 1999-10-01

The properties of heterogeneous media vary spatially in a manner that can seldom be described with certainty. It may, however, possible to describe the spatial variability these terms geostatistical parameters such as mean, integral (spatial correlation) scale, and variance. Neuman et al. (2004) proposed graphical method estimate (natural) log transmissivity on basis quasi–steady state head data when randomly confined aquifer is pumped at constant rate from fully penetrating well. They...

10.1029/2007wr005871 article EN public-domain Water Resources Research 2007-10-01

10.1016/j.jfluidstructs.2007.04.002 article EN Journal of Fluids and Structures 2007-06-19
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