Saman Mirmarghabi - Ahwaz Faculty of Petroleum, Petroleum University of Technology (P.U.T), Kut-e-Abdollah, Ahwaz, ۶۱۹۸۱۴۴۴۷۱, Iran.
Masoud Bahrami Babaheidari - Ahwaz Faculty of Petroleum, Petroleum University of Technology (P.U.T), Kut-e-Abdollah, Ahwaz, ۶۱۹۸۱۴۴۴۷۱, Iran.
Pouya Hosseini far - Ahwaz Faculty of Petroleum, Petroleum University of Technology (P.U.T), Kut-e-Abdollah, Ahwaz, ۶۱۹۸۱۴۴۴۷۱, Iran.
Mohsen Mahmoudi - Ahwaz Faculty of Petroleum, Petroleum University of Technology (P.U.T), Kut-e-Abdollah, Ahwaz, ۶۱۹۸۱۴۴۴۷۱, Iran.
Seyed Mohammad-Amin Hosseini Moghaddam - Ahwaz Faculty of Petroleum, Petroleum University of Technology (P.U.T), Kut-e-Abdollah, Ahwaz, ۶۱۹۸۱۴۴۴۷۱, Iran.

In the production, transportation, and refining of crude oil, a significant challenge arises from theinstability and deposition of asphaltene. Currently, several indexes have been developed to forecast asphaltenestability in crude oil. Some of these proposed indexes are SCP, MJM, JM, and others. In the current study, thelaboratory data, the data under investigation, and the indexes for the SARA analysis of ۸۵ oil samples werecompared and analyzed. The accuracy of the indexes in distinguishing between stable and unstable oils wasindividually assessed. Based on the findings of this investigation, CSI demonstrated the most reliableperformance, whereas QQA exhibited the least effective performance.

Asphaltene; Stability of crude oil; SCP, MJM, JM, ANJIS, QQA, CII, CSI, SI, SP; SARA Analysis