Developing a New Correlation for Prediction of Methane-Water/Brine Interfacial Tension
سال انتشار: 1401
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 152
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شناسه ملی سند علمی:
OGPC04_033
تاریخ نمایه سازی: 25 اردیبهشت 1402
چکیده مقاله:
Interfacial tension of methane-water/brine plays a significant role in the different phases of exploitation and processing of natural gas. Therefore, precise prediction of the such important parameter can lead to a more accurate simulation of various processes in which the IFT of methane-water/brine is involved. In this study, the Genetic Programming (GP) modeling approach is utilized to provide an easy-to-use correlation for estimating IFT. The extensive collected dataset consists of ۸۲۰ measured data of methane-water/brine IFT, which includes effective parameters on IFT, namely; temperature, pressure, and salinity. The efficiency of the developed model was evaluated through different statistical and graphical analyses. The results demonstrated good performance and superiority of the suggested model compared to some of the best correlations available in the literature
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نویسندگان
Mohammad Behnamnia
Department of Petroleum Engineering, Faculty of Petroleum, Gas and Petrochemical Engineering, Persian Gulf University, Bushehr ۷۵۱۶۹-۱۳۸۱۷, Iran.
Abolfazl Dehghan Monfared
Department of Petroleum Engineering, Faculty of Petroleum, Gas and Petrochemical Engineering, Persian Gulf University, Bushehr ۷۵۱۶۹-۱۳۸۱۷, Iran.
Mohammad Sarmadivaleh
Western Australia School of Mines, Minerals, Energy and Chemical Engineering, Curtin University, Kensington, ۶۱۵۱, Western Australia, Australia