Improving Hydrocarbon Residue Feed Definition Through Validated Simulation Models

Rinzan Akhirjulima; IGBN Makertihartha; Tri Partono Adhi; Anggit Raksajati

doi:10.29017/SCOG.48.1.1650

Improving Hydrocarbon Residue Feed Definition Through Validated Simulation Models

Rinzan Akhirjulima, IGBN Makertihartha, Tri Partono Adhi, Anggit Raksajati

Abstract

The conventional development of deasphalting processes is significantly dependent on costly and time-consuming lab experiments. Therefore, this study aimed to introduce a more efficient method using simulation to tackle the challenges associated with deasphalting. The method was used to identify the composition of synthetic crude oil (SCO) feedstock, dividing into 4 key molecular groups, namely Saturates, Aromatics, Resins, and Asphaltenes (SARA). These groups were pseudo-components in the simulation, characterized by parameters such as boiling points and molecular weights. The simulated boiling points were compared with actual crude oil to ensure accuracy. The framework was applied to model hydrocarbon residue in Lube Oil production, testing adaptability across various feedstocks. The strategy to improve the simulation accuracy was adjusting molecular interactions for asphaltene separation and refining pseudo-components. The results showed a boiling point curve with an RMSD of 2.689, closely matching the actual residue curve. This method improved the precision of deasphalting while reducing dependence on resource-heavy lab work.

Keywords

deasphalting, SARA molecule, simulation-generated boiling points curve, molecular interaction

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DOI: https://doi.org/10.29017/SCOG.48.1.1650