Reservoir simulation models are used to forecast future reservoir behavior and to optimally
manage reservoir production. These models require specification of hundreds of thousands …

An efficient reservoir surveillance and monitoring technique should be able to monitor
changes in the reservoir fluid and provide a better understanding of the spatial movement …

Seismic reservoir characterization aims to build 3-dimensional models of rock and fluid
properties, including elastic and petrophysical variables, to describe and monitor the state of …

Abstract The ensemble Kalman filter (EnKF) has become a popular method for history
matching production and seismic data in petroleum reservoir models. However, it is known …

A method based on the ensemble Kalman filter (EnKF) for continuous model updating with
respect to the combination of production data and 4D seismic data is presented. When the …

In this work, we propose an ensemble 4D-seismic history-matching framework for reservoir
characterization. Compared with similar existing frameworks in the reservoir-engineering …

The accuracy and robustness of numerical models of geologic CO 2 sequestration are
almost never quantified with respect to direct observations that provide a ground truth. Here …

We have developed a time-lapse seismic history matching framework to assimilate
production data and time-lapse seismic data for the prediction of static reservoir models. An …

We consider calculation of the Bayesian model evidence, which is an essential component
in realistic uncertainty quantification. The main motivation is large-scale porous-media-flow …

The study in this paper proposed a new framework for history matching of frequently
acquired 4D seismic data. To achieve this goal, the large volumes of seismic data from the …