This paper describes the results of a two-year EC-sponsored project which uses new
information provided by repeated seismic acquisitions (4D seismic data) jointly with …

For large-scale history-matching problems, optimization algorithms which require only the
gradient of the objective function and avoid explicit computation of the Hessian appear to be …

The theory of multiobjective optimization indicates that the Pareto-optimal front lies on the
boundary of the subset Z of where Z is the image of the feasible region of the design space …

It is extremely challenging to design effective assisted-history-matching (AHM) methods for
complex geological models with discrete-facies types. One of the difficulties is the irregular …

The use of time-lapse data, or 4D seismic, in conjunction with production data in computer
aided history matching of reservoir models requires that the various types of data are …

The Bayesian framework allows one to integrate production data and static data into a
posteriori probability density function for reservoir variables (model parameters). The …

Abstract 4D seismic or time-lapse seismic is the process of repeating 3D seismic surveys
over a producing reservoir to monitor changes in saturation and pressure. Repetition of …

Evolutionary Algorithms and local optimization methods are applied to the problem of history
matching in reservoir engineering. Application of global optimization methods to history …

Automatic history matching of both production data and time-lapse seismic data to achieve
reservoir characterization with reduced uncertainty has been extensively studied in recent …

We consider the inverse problem of permeability estimation for two-phase flow in porous
media. In the parameter estimation process we utilize both data from the wells (production …