Enhanced history matching process by incorporation of saturation logs as model selection criteria

This paper proposes a methodology for an alternative history matching process enhanced by the incorporation of simplified binary interpretation reservoir saturation logs (RST) as objective function. Incorporating fluids during phase unlocks possibility to adjust or select models that better represent near wellbore waterfront movement, which is particularly important uncertainty mitigation future well interference assessments in water driven reservoirs. For purposes this study, semi-synthetic open-source model was used base case evaluate proposed methodology. The represents driven, highly heterogenous sandstone from Namorado field Brazil. To effectively compare against conventional methods, commercial simulator combination with state-of-the-art benchmarking workflow based on Big Loop™ approach. A well-known group metrics were evaluated be function, and Matthew correlation coefficient (MCC) has been proved offer best results when using data logs. History obtained allowed selection more reliable models, especially cases high heterogeneity. also offers additional information understanding sweep behaviour behind casing at specific production zones, thus revealing full potential define new wells development opportunities.