TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractIn reservoir characterization, the value of each piece of data does not lie in its isolated use, but rather in the value it adds to the analysis when integrated with other data. Earth scientists from different disciplines have made many efforts to better predict the spatial distribution of petrophysical properties. However, the interpretation of isolated piece of knowledge, without a real integration of disciplines, cannot lead to a quantitative answer in terms of reservoir characterization. In this paper we present a joint inversion scheme for estimating petrophysical properties by integrating both production and 4D seismic related data in geological modeling. Simultaneous history matching of production and 4D seismic related data leads to a better prediction of petrophysical reservoir properties and of production forecast.

A fundamental goal of oil and gas reservoir characterization is to enhance the reliability of dynamic fluid flow simulation studies through better description of geological heterogeneity. Ideally, the geological model should be updated in real time with all available data (especially information derived from seismic, production, well test and core studies) to achieve significant optimization of field management. Such an update can lead to much improved understanding of the dynamic reservoir production forecasting. To this end we propose an integrated technique for improved geological modelling and reservoir characterization, which is based on a non-linear optimization loop for quantitative use of 4D seismic data in combination with production data.

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