Novel Characterization Method of the Mesophase Optical Textures Based on In Situ Coking of Heavy Oil

This study introduces a novel method for rapid characterization of the mesophase optical textures based on in situ coking of heavy oil. The conventional methods of mesophase characterization often compromise the structural integrity of coke's texture and exhibit constraints in image processing, which may lead to misrepresentation of coke properties. In this research, a rapid characterization method for the mesophase was developed, in which the digital image processing technique and statistical methods were combined together. This method greatly reduces the damage to the optical textures of the coke by directly coking heavy oil on the test chip and capturing images of the coke formed on the chip. The influence of the following factors on the mesophase characterization results was investigated, including the test chip material, reactor shape, and the number of images in a single sample. In addition, the reliability and applicability of this characterization method were verified through characterization of the representative oil samples.

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Publication Details

Journal
ACS Omega
Published
2024-12-26
DOI
https://doi.org/10.1021/acsomega.4c09961
Citations
1
Primary Topic
Petroleum Processing and Analysis
Type
article
Field-Weighted Citation Impact
0.24

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article

Novel Characterization Method of the Mesophase Optical Textures Based on In Situ Coking of Heavy Oil

Xueqi Yang, Guian Fang, Shaolin Mao, Hao Shen et al.
1 citations
ACS Omega
Petroleum Processing and Analysis
0.24
article

Novel Characterization Method of the Mesophase Optical Textures Based on In Situ Coking of Heavy Oil

Xueqi Yang, Guian Fang, Shaolin Mao, Hao Shen, Gang Li, Junwei Yang
article en
1 citations

Abstract

This study introduces a novel method for rapid characterization of the mesophase optical textures based on in situ coking of heavy oil. The conventional methods of mesophase characterization often compromise the structural integrity of coke's texture and exhibit constraints in image processing, which may lead to misrepresentation of coke properties. In this research, a rapid characterization method for the mesophase was developed, in which the digital image processing technique and statistical methods were combined together. This method greatly reduces the damage to the optical textures of the coke by directly coking heavy oil on the test chip and capturing images of the coke formed on the chip. The influence of the following factors on the mesophase characterization results was investigated, including the test chip material, reactor shape, and the number of images in a single sample. In addition, the reliability and applicability of this characterization method were verified through characterization of the representative oil samples.

ACS OmegaVol. 10(1)
Institute of New Materials (CN), China University of Petroleum, East China (CN)
Key Technology Research and Development Program of Shandong
Openalex Percentile: Top 48%
Petroleum Processing and Analysis
0.24
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