Estimation of oil and gas properties in petroleum production and processing operations using rigorous model |
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| Authors: | Alireza Baghban Peyman Abbasi Peyman Rostami Meysam Bahadori Zainal Ahmad Tomoaki Kashiwao |
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| Affiliation: | 1. Young Researcher and Elite Club, Fasa Branch, Islamic Azad University, Fasa, Iran;2. Department of Petroleum Engineering, Ahwaz Faculty of Petroleum Engineering Petroleum University of Technology (PUT), Ahwaz, Iran;3. Department of Petroleum Engineering, Amirkabir University of Technology, Tehran, Iran;4. National Iranian Drilling Company, Ahvaz, Iran;5. School of Chemical Engineering, Engineering Campus, Universiti Sains Malaysia, Penang, Malaysia;6. Department of Electronics and Control Engineering, National Institute of Technology, Niihama College, Niihama, Japan |
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| Abstract: | Wellhead chokes are widely used in the petroleum industry. Owning to the high sensitivity of oil and gas production to choke size, an accurate correlation to specify choke performance is vitally important. The aim of this contribution was to develop effective relationships among the liquid flow rate, gas liquid ratio, flowing wellhead pressure, and surface wellhead choke size using the support vector machines (SVMs). The accurate data set was gathered from the 15 different fields containing 100 production samples from the vertical wells at wide ranges of wellhead choke sizes. This computational model was compared with the previous developed correlations in order to investigate its applicability for subcritical two phase flow regimes through wellhead chokes. Results confirmed amazing capability of the SVM to predict liquid flow rates. The value of R2 obtained was 0.9998 for the SVM model. This developed predictive tool can be of massive value for petroleum engineer to have accurate estimations of liquid flow rates through wellhead chocks. |
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| Keywords: | Iranian reservoir liquid flow rate prediction support vector machine wellhead choke |
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