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|Type:||Artigo de evento|
|Title:||Quantitative Integration Of Time-lapse Seismic Derived Information In A History Matching Procedure|
|Abstract:||The use of production data to increase the reliability of production forecasts of a field is limited, especially in early development, when there are fewer observed data and then a significant uncertainties raise. An alternative to improve the quality of the model is the use of saturation and pressure maps obtained from time-lapse seismic. The incorporation of this information has not been explored in reservoir engineering studies and has great potential for reducing uncertainties caused by lack of information and complexity of oil fields. Recent work indicates that the best way to use this information to calibrate reservoir numerical models is to convert it into saturation and pressure. Thus, this study aims to derive, from time-lapse seismic attributes, distributions of saturation and pressure in oil reservoirs. This paper presents a methodology to estimate saturation and pressure maps simultaneously through an inversion process constrained by engineering data. These maps information are then combined with production data in a global objective function aiming at improving an integrated history matching procedure. This methodology is applied in a modified model of the "Namorado Field" (Campos Basin, Brazil), that has geological faults and high permeability channels. It was also necessary to apply an empirical modeling of the rock bulk modules regarding pressure variations, which improved the reservoir acoustic sensitivity and allowed, together with the engineering data constraints, to derive these maps. It was possible to identify the main structures that can influence fluid flow trends in the reservoir and significantly reduce time consuming and increase the reservoir behavior predictions reliability. As major contributions of this study are the development of a methodology able to provide saturation and pressure trends regarding time-lapse information and engineering data constraints to the overall process and its quantitative application in an integrated history matching procedure. Copyright 2011, Society of Petroleum Engineers.|
|Editor:||Society of Petroleum Engineers|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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