A new insight into compatibility changing rules for inferior vacuum residue’s thermal cracking and hydrocracking process

Li, Ji‐Guang; Hou, Huandi; Haiping, Shen

doi:10.1016/j.jaap.2022.105632

Cited by 3 publications

(1 citation statement)

References 45 publications

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“…Likewise, Guzmán et al [26] point out that the correlations reported in the literature are not adequate when they are used individually to establish limits on asphaltene stability in crude oils and that they have low effectiveness for stability prediction. Therefore, researchers continue their search in an attempt to find a suitable approach for predicting crude oil stability [50][51][52][53][54][55][56][57][58][59][60][61][62][63][64][65][66][67]. The viscosity of crude oil to be examined by the oil compatibility tests also needs to be taken into account [10,[68][69][70].…”

Section: Introductionmentioning

confidence: 99%

Application of Intercriteria and Regression Analyses and Artificial Neural Network to Investigate the Relation of Crude Oil Assay Data to Oil Compatibility

Shiskova,

Stratiev,

Tavlieva

et al. 2024

Processes

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The compatibility of constituents making up a petroleum fluid has been recognized as an important factor for trouble-free operations in the petroleum industry. The fouling of equipment and desalting efficiency deteriorations are the results of dealing with incompatible oils. A great number of studies dedicated to oil compatibility have appeared over the years to address this important issue. The full analysis of examined petroleum fluids has not been juxtaposed yet with the compatibility characteristics in published research that could provide an insight into the reasons for the different values of colloidal stability indices. That was the reason for us investigating 48 crude oil samples pertaining to extra light, light, medium, heavy, and extra heavy petroleum crudes, which were examined for their colloidal stability by measuring solvent power and critical solvent power utilizing the n-heptane dilution test performed by using centrifuge. The solubility power of the investigated crude oils varied between 12.5 and 74.7, while the critical solubility power fluctuated between 3.3 and 37.3. True boiling point (TBP) analysis, high-temperature simulation distillation, SARA analysis, viscosity, density and sulfur distribution of narrow petroleum fractions, and vacuum residue characterization (SARA, density, Conradson carbon, asphaltene density) of the investigated oils were performed. All the experimentally determined data in this research were evaluated by intercriteria and regression analyses. Regression and artificial neural network models were developed predicting the critical solubility power with correlation coefficients R of 0.80 and 0.799, respectively.

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