Improvement of Injection-Production Connectivity Calculation and Its Application in Injection Allocation

doi:10.3969/j.issn.1006-6535.2020.04.013

Abstract

Abstract: In order to quantitatively characterize the injection-production connectivity, response ratio and other key information in the waterflooding oilfield, a multiple linear regression analysis model considering variable bottom-hole flowing pressure was proposed by integrating and improving the available calculation methods for injection-production connectivity. The oil production performance can be favorably characterized by this new model to obtain a quantitative and reliable analysis for the injection-production connectivity. The injection-production response and ratio were determined and the manual analysis was significantly reduced by combining with wellgroup injection allocation model. This model had been verified by a field application in Xinjiang Oilfield, and the corresponding accuracy had been significantly improved. This research could effectively improve the efficiency and scientificity of oilfield injection-production deployment program design and promote intelligent oilfield deployment and adjustment, which could provide certain reference for the development of similar reservoirs.

Key words: injection-production connectivity, injection allocation, waterflooding oilfield, multiple linear regression

CLC Number:

TE341

Jia Lu, Shi Guowei, Shi Feng, Lan Haigang, Ji Lanmin. Improvement of Injection-Production Connectivity Calculation and Its Application in Injection Allocation[J]. Special Oil & Gas Reservoirs, 2020, 27(4): 85-91.

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