The world's average oil recovery factor is estimated to be 35%. Increased oil and gas recovery will depend on the availability and utilization of appropriate technology as well as efficient reservoir management and economic strategies. This creates the need for efficiently scanning and evaluating various field architectures during the field development phase, with respect to installed cost, operability and hydrocarbon recovery. A major step towards achieving this improvement is to couple the reservoir performance with the production network.
The objective of this paper is to describe an efficient methodology for coupling one or several dynamic reservoir models with the production network model. This enables effective comparison between different field development concepts including various applications of subsea processing.
To investigate this integrated approach, a real case study has been performed on the Alta and Gotha discoveries operated by Lundin in the Barents Sea.
