Efficient history matching for reduced reservoir models with PCE-based bootstrap filters, 2012
Advisors: Inga Berre, Sergey Oladyshkin
Short description of project:
Underground blow systems, such as oil or gas reservoirs and CO2 storage sites, are an important and challenging class of complex dynamic systems. Lacking information about distributed system properties (such as porosity, permeability, . . .) leads to model uncertainties up to a level where quantification of uncertainties may become the dominant question in application tasks. Calibrating models for underground reservoirs on past production data (called history matching) helps to reduce uncertainties and hence can improved the predictive power. We propose an advanced framework for model calibration and history matching based on the polynomial chaos expansion (PCE).
Link to thesis at BORA-UiB: Link