A5034165194- Advanced Numerical Methods in Computational Mathematics
- Matrix Theory and Algorithms
- Numerical methods in engineering
- Seismic Imaging and Inversion Techniques
- Hydraulic Fracturing and Reservoir Analysis
- Landslides and related hazards
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Electromagnetic Scattering and Analysis
- Rock Mechanics and Modeling
- Reservoir Engineering and Simulation Methods
- Geophysical Methods and Applications
- Drilling and Well Engineering
- Elasticity and Material Modeling
- Groundwater flow and contamination studies
- CO2 Sequestration and Geologic Interactions
- Model Reduction and Neural Networks
- Methane Hydrates and Related Phenomena
- Numerical methods for differential equations
- Cryospheric studies and observations
- Computational Fluid Dynamics and Aerodynamics
- Coastal and Marine Dynamics
- Contact Mechanics and Variational Inequalities
- Geotechnical Engineering and Underground Structures
- earthquake and tectonic studies
- Dam Engineering and Safety
University of Padua
2015-2024
Stanford University
2017
Capital Normal University
2017
Weatherford College
2004
The Emilia‐Romagna coastland south of the Po River delta, Italy, has experienced a dramatic land settlement mainly due to large groundwater withdrawal related local economic and tourist development started in early 1950s. Although use surface water reduced rate over last three decades, anthropogenic subsidence still continues few kilometer wide coastal strip at larger than natural one. occurrence is reconstructed since 1946 with aid advanced finite element flow poromechanical models...
Underground gas storage (UGS) in depleted hydrocarbon reservoirs is a strategic practice to cope with the growing energy demand and occurs many places Europe North America. In response summer injection winter withdrawal reservoir expands contracts essentially elastically as major consequence of fluid (gas water) pore pressure fluctuations. Depending on number factors, including burial depth, difference between largest smallest pressure, geomechanical properties injected formation overburden,...
The paper presents a constitutive model for the one-dimensional vertical compressibility, m v , of northern Adriatic sedimentary basin based on in-situ deformation measurements by radioactive marker technique. Gas reservoir compaction and expansion occurring during field production life after its abandonment have been measured in three deep boreholes FSMT (formation subsidence monitoring tool) CMI (compaction instrument) developed Schlumberger Western Atlas respectively. compressibility...
Uncoupling between the flow field and stress in pumped aquifers is basis of classical groundwater hydrology. Recently, some authors have disputed assumption uncoupling with regard to both fluid dynamics porous medium deformation. The issue very important as it could undermine traditional approach simulate subsurface flow, analyze pumping tests, predict land subsidence caused by withdrawal. present paper addresses problem coupling versus Po river plain, a normally consolidated pressurized...
Abstract The stress variation induced by gas/oil production may activate pre‐existing regional faults. This enhance the expected land subsidence due to generation of mechanically weak points close producing field. A class elasto‐plastic interface elements (IE), specifically designed address mechanical behaviour faults over a scale, is integrated into finite element (FE) geomechanical model and used investigate role exerted active in anthropogenic subsidence. importance depends on variety...
An adaptive algorithm is presented to generate automatically the nonzero pattern of block factored sparse approximate inverse (BFSAI) preconditioner. It demonstrated that in symmetric positive definite (SPD) problems BFSAI minimizes an upper bound Kaporin number preconditioned matrix. The mathematical structure this suggests efficient and easily parallelizable strategy for improving given BFSAI, thus providing a novel (ABF) Numerical experiments performed on large sized finite element show...
The Factorized Sparse Approximate Inverse (FSAI) is an efficient technique for preconditioning parallel solvers of symmetric positive definite sparse linear systems. key factor controlling FSAI efficiency the identification appropriate nonzero pattern. Currently, several strategies have been proposed building such a pattern, using both static and dynamic techniques. This article describes fresh software package, called FSAIPACK, which we developed shared memory machines. It collects all...
Abstract The hydrogeologic systems of alluvial fan are characterized by a heterogeneous distribution various lithological units/facies. structure (integral scale and volumetric proportion) the hydrofacies values hydrogeomechanical parameters each facies can play major role on system response to groundwater withdrawal in term land subsidence. We propose novel approach where stochastically simulated distributions coupled with 3‐D finite element flow geomechanical simulations characterize...
Iterative methods are currently the solvers of choice for large sparse linear systems equations. However, it is well known that key factor accelerating, or even allowing for, convergence preconditioner. The research on preconditioning techniques has characterized last two decades. Nowadays, there a number different options to be considered when choosing most appropriate preconditioner specific problem at hand. present work provides an overview popular algorithms available today, emphasizing...
The efficient simulation of fault and fracture mechanics is a key issue in several applications attracting growing interest by the scientific community. Using formulation based on Lagrange multipliers, Jacobian matrix resulting from Finite Element discretization governing equations has non-symmetric generalized saddle-point structure. In this work, we propose family block preconditioners to accelerate convergence Krylov methods for such problems. We critically review possible advantages...
Compartmental models provide simple and efficient tools to analyze the relevant transmission processes during an outbreak, produce short-term forecasts or scenarios, assess impact of vaccination campaigns. However, their calibration is not straightforward, since many factors contribute rapid change dynamics. For example, there might be changes in individual awareness, imposition non-pharmacological interventions emergence new variants. As a consequence, model parameters such as rate are...
Summary Geomechanical models are often used to predict the impact on land surface of fluid withdrawal from deep reservoirs, as well investigating measures for mitigation. The ability accurately simulate displacements, however, is impaired by limited information geomechanical parameters characterizing geological formations interest. In this study, we employ an ensemble smoother, a data assimilation algorithm, provide improved estimates reservoir through measurements both horizontal and...
Abstract Although the beginning of reservoir geomechanics dates back to late 1960s, only recently stochastical geomechanical modelling has been introduced into general framework operational planning. In this study, ensemble smoother (ES) algorithm, i.e., an ensemble‐based data assimilation method, is employed reduce uncertainty constitutive parameters characterizing model underground gas storage (UGS) field situated in upper Adriatic sedimentary basin (Italy), Lombardia UGS. The based on a...