Agradecimentos: This work was carried out in association with the ongoing project registered as BG-07 ‘Reduction of uncertainties through the incorporation of 4D seismic data in the modeling of the reservoir’ (UNICAMP/BG Brazil/ANP) funded by BG E&P Brasil Ltda. (Shell Brasil Petróleo Ltda. Subsidiary) under the ANP R&D levy as ‘Investment Commitment to Research and Development’. The authors thank UNISIM, CEPETRO and UNICAMP for supporting this work and Schlumberger and CMG for software licenses. We also would like to thank Statoil (operator of the Norne field) and its license partners ENI and Petoro for the release of the Norne Field data. Further, the authors acknowledge the Center for Integrated Operations at NTNU for cooperation and coordination of the Norne Cases. The view expressed in this paper are the views of the authors and do not necessarily reflect the views of Statoil and the Norne license partners Ver menos

Currently, the goal of history-matching procedures is not only to provide a model matching any observed data but also to generate multiple matched models to properly handle uncertainties. One such approach is a probabilistic history-matching methodology based on the discrete Latin Hypercube sampling algorithm, proposed in previous works, which was particularly efficient for matching well data (production rates and pressure). 4D seismic (4DS) data have been increasingly included into history-matching procedures. A key issue in seismic history matching (SHM) is to transfer data into a common domain: impedance, amplitude or pressure, and saturation. In any case, seismic inversions and/or modeling are required, which can be time consuming. An alternative to avoid these procedures is using binary images in SHM as they allow the shape, rather than the physical values, of observed anomalies to be matched. This work presents the incorporation of binary images in SHM within the aforementioned probabilistic history matching. The application was performed with real data from a segment of the Norne benchmark case that presents strong 4D anomalies, including softening signals due to pressure build up. The binary images are used to match the pressurized zones observed in time-lapse data. Three history matchings were conducted using: only well data, well and 4DS data, and only 4DS. The methodology is very flexible and successfully utilized the addition of binary images for seismic objective functions. Results proved the good convergence of the method in few iterations for all three cases. The matched models of the first two cases provided the best results, with similar well matching quality. The second case provided models presenting pore pressure changes according to the expected dynamic behavior (pressurized zones) observed on 4DS data. The use of binary images in SHM is relatively new with few examples in the literature. This work enriches this discussion by presenting a new application to match pressure in a reservoir segment with complex pressure behavior Ver menos