To predict and manage petroleum production there are two challenges: (i) to generate and utilise tremendous detail in our reservoir description (ii) to recognise that the majority of this detail is uncertain. Techniques, therefore, are necessary to assess uncertainty while making predictions of oil, water, and gas production. We demonstrate that by using a mixture of old and new techniques (streamlines and fine grid simulation) that we obtain the speed of the first while retaining the rigor and accuracy of the second. The method is applied to the rapid evaluation of the impact of reservoir heterogeneity on miscible gas injection.

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