... of data to be analyzed, with hundreds of simulation models and 4D seismic data from a large number of seismic surveys, required a series of automated analysis steps. An important domain challenge was to capture the essence of simulation models, production data and 4D seismic data in a set of reasonable...

... (e.g., permeability, and porosity) in a history matching process. Among the different types of field data, production data (e.g., bottom hole pressure, oil and water rates) are often assimilated into reservoir models because of its acquisition convenience and relatively cheap cost. The acquisition...

... been carried out in some recent work, e.g., Chen and Oliver (2014 ); Evensen and Eikrem (2018 ); Lorentzen et al. (2020 ); Lu and Chen (2020 ); Luo et al. (2019 ). Especially, Lu and Chen (2020 ) considered to account for potential model errors through assimilating production data. In the current...

... arising in conventional distance-based localization. To demonstrate the efficacy of correlation-based adaptive localization, we apply it to history-match the real production data of the full Norne field model using an iterative ensemble smoother (iES), and compare the history matching results to those...

... production data (e.g., bottom hole pressures, oil production rates, water cuts etc.) into reservoir models. Production data are often frequent in time, but have relatively sparse coverage in space. Complementary to production data, 4D (or time-lapse) seismic data are usually denser in space, and thus provide...

... it is not possible to re-shoot seismic. A synthetic reservoir model is used in a history matching study designed better estimate porosity and permeability distributions and improve the quality of the model to predict future field performance. This study is divided in three parts: First, the use of production data...