History matching is a type of inverse problem in which observed reservoir behavior is used
to estimate reservoir model variables that caused the behavior. Obtaining even a single …

There has been great progress in data assimilation within atmospheric and oceanographic
sciences during the last couple of decades. In data assimilation, one aims at merging the …

The reliable identification of subsurface sedimentary structures (ie, geologic heterogeneity)
is critical in various earth and environmental sciences, petroleum reservoir engineering, and …

Closed-loop reservoir management is a combination of model-based optimization and data
assimilation (computer-assisted history matching), also referred to as 'real-time reservoir …

Ensemble-based methods have been applied with remarkable success for data assimilation
in geosciences. However, they sometimes fail to preserve the geological realism of the …

Ensemble smoothers are among the most successful and efficient techniques currently
available for history matching. However, because these methods rely on Gaussian …

High exploration costs resulting in sparse datasets and complicated geological structures in
deepwater depositional systems make the reservoir characterization extremely difficult. To …

The process of conditioning the geological or the static model to production data is typically
known as history matching (HM). The economic viability of a petroleum recovery project is …

With the long-standing efforts of green transition in our society, underground hydrogen
storage (UHS) has emerged as a viable solution to buffering seasonal fluctuations of …

Reservoir history matching represents a crucial stage in the reservoir development process
and purposes to match model predictions with various observed field data, including …