📞 +91-7667918914 | ✉️ iarjset@gmail.com
International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
ISSN Online 2393-8021ISSN Print 2394-1588Since 2014
IARJSET aligns to the suggestive parameters by the latest University Grants Commission (UGC) for peer-reviewed journals, committed to promoting research excellence, ethical publishing practices, and a global scholarly impact.
← Back to VOLUME 9, ISSUE 3, MARCH 2022

Evaluation and Improvement of Bubble Point Pressure Correlations for Yemeni Crude Oils

Mazen A. Muherei*, Amer B. BinMerdhah, Salem OS. Baarimah

👁 1 view📥 0 downloads
Share: 𝕏 f in

Abstract: One of the most important PVT properties is the bubble point pressure. Ideally, in the laboratory the bubble point pressure is determined experimentally. Empirical PVT correlations becomes the best alternative when laboratory PVT analysis is not readily. This study evaluates and improves the most frequently used bubble point pressure empirical correlations for Yemeni crude oils using both Microsoft Excel and MATLAB. To validate and compare the performance and accuracy of the improved bubble point pressure correlations, an average absolute percent relative error (AAPRE) was applied. A total of 138 data sets of different crude oils from Yemeni reservoirs were used. The results showed that Levitan and Murtha modified correlation outperforms the most common published empirical correlations with least an average absolute percent relative error (AAPRE) followed by Labedi and Hassan correlations for predicting the bubble point pressure for Yemeni crude oils.

Keywords: Bubble point pressure, PVT correlations, Yemeni crude oil

How to Cite:

[1] Mazen A. Muherei*, Amer B. BinMerdhah, Salem OS. Baarimah, “Evaluation and Improvement of Bubble Point Pressure Correlations for Yemeni Crude Oils,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2022.9315

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.