Petroleum Classification Methods and Their Application to Crude Oil Selection for Refinery Operations: A Critical Review

Various petroleum classifications have been developed over the years using different crude oil characteristics, techniques, and approaches. A review of all these classifications made so far has not been published in recent decades and no relation to the crude oil selection process has been investigated yet. Crude oil selection is a very delicate process, requiring the right balance between crude oil purchase costs, which can account for up to 95% of total refining costs, and minimizing the risk of unplanned shutdowns, which can result from undesirable asphaltene precipitation, equipment fouling, accelerated corrosion, and disruptions in the operation of desalters and other process units. The current research conducts a review of the distinct petroleum classifications published in the literature and discusses their possible link to the expected performance of a modern high complexity petroleum refinery in terms of minimizing the risk of unplanned shutdowns. An intercriteria analysis approach is proposed as a tool to discriminate those crude oils from a database of comprehensive assays of 1390 crude oils, which may invoke a possible unplanned shutdown of the petroleum refinery under study based on a previous experience.

Authors

Institutions

Publication Details

Journal
Processes
Published
2026-07-02
DOI
https://doi.org/10.3390/pr14132159
Primary Topic
Petroleum Processing and Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Petroleum Classification Methods and Their Application to Crude Oil Selection for Refinery Operations: A Critical Review

Svetlin Vasilev, Ivelina Shishkova, Tania Pencheva, Veselina Bureva et al.
Processes
Petroleum Processing and Analysis
article

Petroleum Classification Methods and Their Application to Crude Oil Selection for Refinery Operations: A Critical Review

Svetlin Vasilev, Ivelina Shishkova, Tania Pencheva, Veselina Bureva, Dicho Stratiev, Krassimir Atanassov, Dobromir Yordanov, Radoslava Nikolova, Rosen Dinkov, Georgi Georgiev, Angel Nedelchev, Iliyan Kolev, Krasimir Zhekov
article en

Abstract

Various petroleum classifications have been developed over the years using different crude oil characteristics, techniques, and approaches. A review of all these classifications made so far has not been published in recent decades and no relation to the crude oil selection process has been investigated yet. Crude oil selection is a very delicate process, requiring the right balance between crude oil purchase costs, which can account for up to 95% of total refining costs, and minimizing the risk of unplanned shutdowns, which can result from undesirable asphaltene precipitation, equipment fouling, accelerated corrosion, and disruptions in the operation of desalters and other process units. The current research conducts a review of the distinct petroleum classifications published in the literature and discusses their possible link to the expected performance of a modern high complexity petroleum refinery in terms of minimizing the risk of unplanned shutdowns. An intercriteria analysis approach is proposed as a tool to discriminate those crude oils from a database of comprehensive assays of 1390 crude oils, which may invoke a possible unplanned shutdown of the petroleum refinery under study based on a previous experience.

ProcessesVol. 14(13)
Bulgarian Academy of Sciences (BG), Burgas Free University (BG), Institute of Biophysics and Biomedical Engineering (BG), Prof. Assen Zlatarov University (BG)
European Commission
Peace, Justice and strong institutions, Reduced inequalities
Openalex Percentile: Top 12%
Petroleum Processing and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.