June 2017

Special Focus: Process/Plant Optimization

Use of neural networks for naphtha feed characterization in a cracker plant

Olefins are major building blocks for petrochemicals. Due to their reactivity and versatility, there has been tremendous growth in the demand for olefins, especially for light olefins such as ethylene, propylene, butenes and 1,3-butadiene, etc.

Padmavathi, G., Jasra, R. V., Modi, M., Parmar, K. K., Reliance Industries Ltd.; Dash, S. K., Pandit Deendayal Petroleum University

Olefins are major building blocks for petrochemicals. Due to their reactivity and versatility, there has been tremendous growth in the demand for olefins, especially for light olefins such as ethylene, propylene, butenes and 1,3-butadiene, etc. Olefins are produced by the thermal cracking of gas feeds (ethane, propane, butane and LPG) and liquid feeds (light and heavy naphtha, gasoil and vacuum gasoils). Ethylene is the basic building block for many petrochemicals. Naphtha is one of the feedstocks that can be used for the production of ethylene. The product yields of the naphtha cracking process depend on the naphtha feed composition. Naphtha is categorized as light or heavy depending upon

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