1 Center for Energy Resources Engineering, Center, Technical University of Denmark2 Department of Applied Mathematics and Computer Science, Technical University of Denmark3 National Space Institute, Technical University of Denmark
This work focuses on the development of a new method for history matching problem that through a deterministic search finds a geologically feasible solution. Complex geology is taken into account evaluating multiple point statistics from earth model prototypes - training images. Further a function that measures similarity between statistics of a training image and statistics of any smooth model is introduced and its analytical gradient is computed. This allows us to apply any gradientbased method to history matching problem and guide a solution until it satisfies both production data and complexity of a prior model with desired accuracy. As a consequence of the approach, we sufficiently decrease the amount of forward simulations needed to resolve historical data and prior information.
Main Research Area:
EAGE Integrated Reservoir Modelling: Are we doing it right?, 2013