This paper describes an advanced method to predict downhole temperatures during operations. Examples are presented that represent actual field cases and demonstrate the advantages of using the advanced method compared to conventional methods of estimating downhole temperatures.

Two specific field cases are investigated in detail: Tubing movement during stimulation and well deliverability. In the stimulation case, comparison of the conventional and advanced methods indicates that 35% fewer packer seals are needed in the specific well studied, and the thermal loads magnify the casing stresses by 25-35%. The well deliverability predictions show that a smaller tubing size increases gas production for a constant surface pressure.

The paper also presents the key engineering and computing features needed to aid engineers in evaluating and interpreting results predicted with the advanced method. Key variables are identified for the different applications. With the model, variables can be controlled to optimize performance of well components and well operations.

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