Research on the ‘Ensemble Smoother’ (ES) method for parameter estimation (history matching) and model conditioning.
Project tasks include:
Evaluation of ES for parameter estimation in a number of known test problems of varying complexity to evaluate ES performance with respect to other traditional methods
Evaluation, implementation and testing of recently proposed iterative smoother algorithms
Development, implementation and testing of new iterative smoother algorithms
Application and demonstration of smoother algorithms in agree field examples.
