1. Molecular reconstruction: Recent progress toward composition modeling of petroleum fractions.
- Author
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Ren, Yu, Liao, Zuwei, Sun, Jingyuan, Jiang, Binbo, Wang, Jingdai, Yang, Yongrong, and Wu, Qing
- Subjects
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MOLECULAR recognition , *PETROLEUM refineries , *PETROLEUM , *STOCHASTIC resonance , *MATRIX method (Indexing) - Abstract
Highlights • Various methods are distinguished by the framework of molecular representation. • The method to determine molecular abundance is another distinction. • The deterministic models are relatively limited to the lighter fractions. • The stochastic models are more pertinent to the heavier fractions. • Analytical data is the foundation for the development of molecular reconstruction. Abstract Molecular reconstruction is popular in current oil refinery modeling. It aims to understand the refining process from the molecular level, to predict product properties accurately, to optimize the processes, and to increase the value of each molecule. Molecular reconstruction technique determines the detailed molecular composition of petroleum fractions through obtainable bulk properties and chemical details. In this paper, the existing molecular reconstruction models involving models with a set of predefined deterministic molecules, stochastic reconstruction method, structure-oriented lumping method, molecular type-homologous series matrix method, reconstruction by entropy maximization method, stochastic reconstruction-entropy maximization method and state space representation method are reviewed and compared. The credibility of the simulated composition and the drawbacks of molecular reconstruction technique are also discussed. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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