A machine learning approach for modelling and optimization of complex systems: Application to condensate stabilizer plants
Mohammed Alkatheri,
Farzad Hourfar,
Ladan Khoshnevisan
et al.
Abstract:Recent advancements in supervised machine learning tools have demonstrated their ability to achieve accurate and efficient prediction results. In this paper, we leverage these tools as alternative approaches to model a specific application in the gas industry, based on operating data. The chosen application is a natural gas condensate stabilization process, in which light end components are removed to reduce condensate vapour pressure, meeting storage and transportation specifications. Here, we develop and eva… Show more
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