Naphtha characterization based on a molecular-type homologous series vector representation

MEI Hua; DU Yupeng; WANG Zhenlei; QIAN Feng

doi:10.16511/j.cnki.qhdxxb.2016.24.022

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Journal of Tsinghua University(Science and Technology) ›› 2016, Vol. 56 ›› Issue (7) : 723-727. DOI: 10.16511/j.cnki.qhdxxb.2016.24.022

CHEMISTRY AND CHEMICAL ENGINEERING

Naphtha characterization based on a molecular-type homologous series vector representation

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Abstract

A novel homologous series vector representation method was developed for naphtha in which each homologous molecule of naphtha is defined as a state variable and all these variables are then used to construct a high dimension vector space. Thus, any variation of naphtha as one point in this vector space can be blended linearly by a group of independent naphthas named Basis Oils. These basis oils are obtained using the non-negative matrix factorization (NMF) method with the components data matrix of a huge number of naphtha samples factorized into a characteristic matrix with a lower dimension and its coefficient matrix. In a case study, a naphtha model containing 21 groups of naphtha bases was extracted from 59 groups of naphtha samples with a maximum representation error of less than 2.5 percent of the original data.

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naphtha / detailed group components / molecular-type homologous series vector representation / non-negative matrix factorization (NMF)

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MEI Hua, DU Yupeng, WANG Zhenlei, QIAN Feng. Naphtha characterization based on a molecular-type homologous series vector representation[J]. Journal of Tsinghua University(Science and Technology). 2016, 56(7): 723-727 https://doi.org/10.16511/j.cnki.qhdxxb.2016.24.022

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