Adesina, Fadairo, Abiodun, Adeyemi, Olugbenga, Falode. (1393). A New Analytical Model for Developing Fractional Flow Curve Using Production Data. , 48(2), 81-90. doi: 10.22059/jchpe.2014.7559
Fadairo Adesina; Adeyemi Abiodun; Falode Olugbenga. "A New Analytical Model for Developing Fractional Flow Curve Using Production Data". , 48, 2, 1393, 81-90. doi: 10.22059/jchpe.2014.7559
Adesina, Fadairo, Abiodun, Adeyemi, Olugbenga, Falode. (1393). 'A New Analytical Model for Developing Fractional Flow Curve Using Production Data', , 48(2), pp. 81-90. doi: 10.22059/jchpe.2014.7559
Adesina, Fadairo, Abiodun, Adeyemi, Olugbenga, Falode. A New Analytical Model for Developing Fractional Flow Curve Using Production Data. , 1393; 48(2): 81-90. doi: 10.22059/jchpe.2014.7559

A New Analytical Model for Developing Fractional Flow Curve Using Production Data

Journal of Chemical and Petroleum Engineering
مقاله 2، دوره 48، شماره 2، اسفند 2014، صفحه 81-90    اصل مقاله (787.44 K)
نوع مقاله: Original Paper
شناسه دیجیتال (DOI): 10.22059/jchpe.2014.7559
نویسندگان
Fadairo Adesina* 1؛ Adeyemi Abiodun1؛ Falode Olugbenga2
1Department of Petroleum Engineering, Covenant University Otta, Ogun State, Nigeria
2University of Ibadan, Nigeria
چکیده
The immiscible displacement of oil by water through a porous and permeable reservoir rock can be described by the use of a fractional flow curves (fw versus Sw). Water flooding project parameters can be obtained from the fractional flow curve. However, developing a representative fractional flow curve for a specific reservoir can be quite challenging when fluid and special core analysis data is limited or compromised.  Hence, a mathematical model for dependence of fw on Swis developed by solving material balance algorithm using production data. The results of the model were compared with forecasts from the conventional Bucklett Leverett fractional flow equation and Corey’s correlation and were found to be favorable with less time and effort.
کلیدواژه‌ها
Waterflooding؛ Fractional flow curve؛ Secondary recovery؛ buckley leverret
مراجع
آمار
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