Digital twin can be defined as a virtual representation of a physical asset enabled through
data and simulators for real-time prediction, optimization, monitoring, controlling, and …

Groundwater salinization is considered to be one of the most severe and complex
phenomena affecting coastal regions worldwide, occurring when high concentrations of …

We define model-data interaction (MDI) as a two way process between models and data, in
which on one hand data can serve the modeling purpose by supporting model …

A digital twin can be defined as an adaptive model of a complex physical system. Recent
advances in computational pipelines, multiphysics solvers, artificial intelligence, big data …

An open-source, scalable and model-independent (non-intrusive) implementation of an
iterative ensemble smoother has been developed to alleviate the computational burden …

Detecting where and when a contaminant entered an aquifer from observations
downgradient of the source is a difficult task; this identification becomes more challenging …

Predicting the thermal performance of an enhanced geothermal system (EGS) requires a
comprehensive characterization of the underlying fracture flow patterns from practically …

Understanding a contaminant source may help in a better management and risk assessment
of a polluted aquifer. However, contaminant source information may not be available when a …

Accurate characterization of subsurface hydraulic conductivity is vital for modeling of
subsurface flow and transport. The iterative ensemble smoother (IES) has been proposed to …

Ensemble smoother (ES) has been widely used in inverse modeling of hydrologic systems.
However, for problems where the distribution of model parameters is multimodal, using ES …