Automated method for optimizing adjustment factors of flow models

Abstract

The present invention consists of a method of automatic adjustment of multiphase flow models using the principle of least squares in the correction of the systematic error of simulated pressure drop and temperature drop values. This has been implemented and automated in the form of a computational algorithm and applied in the case study of an actual Production System using Marlim II simulator. For all four multiphase flow correlation sets considered, the adjustments followed each other stably, converging after a few iterations. At the end of the activity, the four sets were found to perform better than the best unadjusted set of correlations. In addition, the method provides consistent results, which is an advantage over the manual adjustment method. Accordingly, the present invention has drastically reduced the time required for optimizing the adjustment factors of flow models and has improved quality of the adjusted model as compared to the final model obtained with manual adjustment. By better quality of the model is meant that the simulated results are closer to the measured results, that is, the model is more capable of representing the flow dynamics verified in the field. In cases with a high number of operating spots in the real system, reduction in the time required by the activity is even more significant.

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