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

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

Advanced data acquisition and process modelling technology provide 'real-time'data and
decision support capacity for different aspects of the resource extraction process. Closed …

Data assimilation is an important discipline in geosciences that aims to combine the
information contents from both prior geophysical models and observational data …

Automatic history matching using production and seismic data is still challenging due to the
size of seismic datasets. The most severe problem, when applying ensemble-based …

Imaging-type monitoring techniques are used in monitoring dynamic processes in many
domains, including medicine, engineering, and geophysics. This paper aims to propose an …

The availability of multiple history matched models is essential for proper handling of
uncertainty in determining the optimal development of producing hydrocarbon fields. The …

Estimating observation error covariance matrix properly is a key step towards successful
seismic history matching. Typically, observation errors of seismic data are spatially …

Abstract Time-lapse (4D) seismic data provides spatial information about dynamic changes
in a reservoir. This information can be used in combination with production data from wells …

This paper reports the results of an investigation on the use of a deterministic analysis
scheme combined with the method ensemble smoother with multiple data assimilation (ES …