The optimization problem in model-reduced gradient-based history matching

We present preliminary results of a performance evaluation study of several gradient-based state-of-the-art optimization methods for solving the nonlinear minimization problem arising in model-reduced gradient-based history matching. The issues discussed also apply to other areas, such as production optimization in closed-loop reservoir management.