Research on Production Performance Prediction Model of Horizontal Wells Completed with AICDs in Bottom Water Reservoirs

Ning Zhang, Yongsheng An () and Runshi Huo
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Ning Zhang: CNOOC China Ltd., Shenzhen Branch, Shenzhen 518067, China
Yongsheng An: MOE Key Laboratory of Petroleum Engineering, China University of Petroleum, Beijing 102249, China
Runshi Huo: MOE Key Laboratory of Petroleum Engineering, China University of Petroleum, Beijing 102249, China

Energies, 2023, vol. 16, issue 6, 1-15

Abstract: With the advancement of completion technology for horizontal wells in bottom water reservoirs, Autonomous Inflow Control Devices (AICDs), which have achieved good results in recent years, have been widely used in the oil fields of the eastern South China Sea. Although some mathematical methods can be used to predict the production performance of horizontal wells, there is no dynamic prediction method for the production performance of horizontal wells completed with AICDs. In this work, a mathematical model of porous flow in the reservoir, nozzle flow in the AICD, and pipe flow in the horizontal well is established, and then a new model is presented for predicting the dynamic performance of horizontal wells completed with AICDs in bottom water reservoirs. The new coupling model is compared with two horizontal wells completed with AICDs in the bottom water reservoirs of the eastern South China Sea, and the results indicate that the accuracy of the new model is sufficiently high to provide theoretical support for the further prediction of horizontal wells in the eastern South China Sea.

Keywords: bottom water reservoir; horizontal well; autonomous inflow control device; performance prediction (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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