This study reports on two strategies for accelerating posterior inference of a highly
parameterized and CPU‐demanding groundwater flow model. Our method builds on …

In this paper, we discuss the sensitivity analysis of model response when the uncertain
model inputs are not independent of one other. In this case, two different kinds of sensitivity …

Real world models of seawater intrusion (SWI) require high computational efforts. This
creates computational difficulties for the uncertainty propagation (UP) analysis of these …

Licensing the next-generation of nuclear reactor designs requires extensive use of Modeling
and Simulation (M&S) to investigate system response to many operational conditions …

The study makes use of polynomial chaos expansions to compute Sobol׳ indices within the
frame of a global sensitivity analysis of hydro-dispersive parameters in a simplified vertical …

In this study we use polynomial chaos expansion (PCE) to perform uncertainty analysis for
seawater intrusion (SWI) in fractured coastal aquifers (FCAs) which is simulated using the …

Successful acid fracturing operation could reduce formation damage and increase
production rate in a carbonate reservoir. Final fracture conductivity is a critical parameter that …

We propose new metrics to assist global sensitivity analysis, GSA, of hydrological and Earth
systems. Our approach allows assessing the impact of uncertain parameters on main …

We look at the behavior of structural systems under the occurrence of seismic events with
the aim of identifying the fragility curves. Artificial Neural Network (ANN) empirical …

Sensitivity analysis plays an important role in geoscientific computer experiments, whether
for forecasting, data assimilation or model calibration. In this paper we focus on an extension …