It is a common practice to use a limited number of components to describe hydrocarbon fluids in reservoir simulation, even though process engineering needs a richer set of components to model the top-side separation process. This requires delumping of the well streams from reservoir models to meet the detailed description needed by the process engineers. We have tackled this problem on the reservoir model of the Goliat field, located in the south-western part of Barents Sea. Economically producible hydrocarbons have been proven in the Realgrunnen and Kobbe formations. Production strategy consists of periferic water injection for pressure maintenance and gas injection in the gas cap for disposal purpose. The development plan includes the distillation of intermediate components from the separated gas phase. This can not be easily modelled within a black-oil reservoir simulator, because the process efficiency depends on gas volumes and gas molar composition that change along with the depletion of the reservoir. A possible solution is to build a reservoir-process model to provide corrected production profiles, and the efficiency of the solution relies on accurate and robust method to delump the black-oil streams. We modified a well-known delumping method to account for Goliat peculiarity. Detailed fluid composition is calculated at each well completion. Phase molar flow is characterized interpolating the composition measured in differential liberation test. Since the gas is expected to be partially produced from the gas cap, the original method has been modified to distinguish between dissolved and dry gas composition, following the latter in the simulation as a tracer carried by the gas phase. The application of this delumping algorithm offers several advantages. First, this method is cost-effective because it can be implemented efficiently by post-processing black-oil well streams, avoiding a much more time-consuming compositional simulation. Secondly, it increases the accuracy of forecast profiles since it takes into account the variation of the produced fluid composition with time. Finally, it provides sale-gas composition forecast according to the surface process facilities.
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