This paper describes a methodology to evaluate thermal performance in an immature giant heavy oil asset undergoing enhanced oil recovery through pattern wise steam flooding. The challenge was to predict the thermal production performance of the patterns as limited information was available on field level as the patterns were yet to show thermal decline. This methodology illustrates building and reconciling of type curve models based on the history match results of the pilot test area. These type curves are then used to predict the performance at the pattern and field level until a clear thermal decline is established. The resultant type curves are then periodically calibrated with the latest production data to ensure the validity of the methodology. This methodology is repeatable and can be adapted for use in other thermal heavy oil fields.

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