Dynamic Modelling of Process Equipment in Regularity Analysis
Regularity analyses are currently being used extensively in several stages during offshore oil/gas field developments. As regularity may be translated to profitability, it is vital to predict the regularity as accurately as possible. In gas processing systems, process equipment are often characterised by dynamic behaviour, i.e. there is a non-linearity in the production flow of parallel equipment stages. This paper evaluates solutions of dynamic modelling as a contrast to linear modelling, showing large potential by increasing the accuracy of regularity modelling. Thereby there will also be an increase in the confidence of the decision basis upon which important project decisions may be made.
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