Different modeling approaches for predicting bubble point pressure of Yemeni crude oil

Other Title(s)

طرق نمذجة مختلفة لتقدير ضغط نقطة الفقاعات للنفط الخام اليمني

Author

al-Khudafi, Abbas Muhammad

Source

Hadhramout University Journal of Natural and Applied Sciences

Issue

Vol. 11, Issue 2 (31 Dec. 2014), pp.133-147, 15 p.

Publisher

Hadhramout University Deanship of Postgraduate Studies and Scientific Research

Publication Date

2014-12-31

Country of Publication

Yemen

No. of Pages

15

Main Subjects

Earth Science , Water and Environment
Materials Science , Minerals

Abstract EN

Pressure-Volume-Temperature (PVT) properties are important reservoir parameters.

Two common approaches are available to obtain PVT properties empirical correlations and laboratory experiment.

Correlations are used whenever experimental PVT data are not available.

No universal PVT correlation is available and data from local regions are expected to give better approximation to estimated PVT values.

Available PVT data from 35 oil fields from different regions of Yemen were used to obtain different models for calculating bubble point pressure.

These models include artificial neural networks (ANNs), neuro-fuzzy model, neuro-genetic model and empirical correlation equation for bubble point pressure.

Statistical error tools were used to evaluate the performance and the accuracy of empirical correlations and different models.

It was found that standard artificial neural networks outperform when genetically optimized or used with hybrid neural fuzzy inference system.

New developed empirical correlation shows good agreement with the actual data comparing with the commonly used correlations.

American Psychological Association (APA)

al-Khudafi, Abbas Muhammad. 2014. Different modeling approaches for predicting bubble point pressure of Yemeni crude oil. Hadhramout University Journal of Natural and Applied Sciences،Vol. 11, no. 2, pp.133-147.
https://search.emarefa.net/detail/BIM-1020209

Modern Language Association (MLA)

al-Khudafi, Abbas Muhammad. Different modeling approaches for predicting bubble point pressure of Yemeni crude oil. Hadhramout University Journal of Natural and Applied Sciences Vol. 11, no. 2 (Dec. 2014), pp.133-147.
https://search.emarefa.net/detail/BIM-1020209

American Medical Association (AMA)

al-Khudafi, Abbas Muhammad. Different modeling approaches for predicting bubble point pressure of Yemeni crude oil. Hadhramout University Journal of Natural and Applied Sciences. 2014. Vol. 11, no. 2, pp.133-147.
https://search.emarefa.net/detail/BIM-1020209

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 146

Record ID

BIM-1020209