Recommended practices are given for the steamflood heat management process: data collection, data analysis and adjustments to steam injection. A generic monitoring data table is presented which can be tailored to an individual project. The various options for modeling steamfloods are contrasted. A set of metrics is proposed which allows monitoring progress toward optimal operation. Project teams are endorsed as a way of ensuring that the diverse disciplines required for effective heat management are properly focused. A case example is presented that illustrates the proposed methodology.

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