DocumentCode :
1725902
Title :
Productivity prediction method for fractured wells in extra-low permeability oil reservoirs
Author :
Zeng Ya-qin ; Huang Wei ; Niu Cai-yun ; Zhao Zhi-cheng ; Yang Li-ping
Author_Institution :
Oil & Gas Technol. Res. Inst., Changqing Oilfield Co., Xi´an, China
fYear :
2011
Firstpage :
382
Lastpage :
384
Abstract :
Inflow performance relationship (IPR) is the foundation of optimal designing for operation parameters of oil wells. A prediction method is proposed for evaluating the inflow performance relationship of fractured wells in extra-low permeability-deformed media oil reservoirs. Specifically, an elliptic flow mathematical model is constructed in the situation that the well inflow performance of fractured well are divided into two parts in which the seepage flow from oil layer goes to the fracture and seepage flow from fracture heads to bottom-hole. Additionally, the changes of the permeability and fluid viscosity with pressure are taken into account. The feasibility of the above method is shown by an application example.
Keywords :
fracture; hydrocarbon reservoirs; mathematical analysis; permeability; prediction theory; viscosity; elliptic flow mathematical model; extra-low permeability oil reservoirs; fluid viscosity; fractured oil wells; inflow performance relationship; oil reservoirs; productivity prediction method; seepage flow; elliptic flow mathematical model; extra-low permeability oil reservoirs; fractured well; productivity prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Grey Systems and Intelligent Services (GSIS), 2011 IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-61284-490-9
Type :
conf
DOI :
10.1109/GSIS.2011.6044037
Filename :
6044037
Link To Document :
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