Abstract

The production history matching process, by which the numerical model is calibrated in order to reproduce the observed field production, is normally carried out separately from the geological modeling. Generally, the construction of the geological model and the history matching process are performed by different teams, such is common uncoupling or a weak coupling between the two areas. This can lead, in the history matching step, inadequate changes in the geological model, resulting sometimes models geologically inconsistent. This work proposes integration between the geostatistical modeling and the history matching through the incorporation of geostatistical realizations into the assisted process. In this way, reservoir parameters such as rock-fluid interaction properties, as well as the images resulted from the realizations are considered in the history matching. In order to find the best parameters combination that adjusts the model to the observed data, an optimization routine based on genetic algorithm is used. The proposed methodology is applied to a synthetic realistic reservoir model. The history matching is carried out in the conventional manner and considering the geostatistical images as history parameters, such the two processes are posteriorly compared. The results show the feasibility and the advantages resulting of this process of integration between the history matching and geostatistical modeling.

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