Ying Liu
School of Electrical and Information Engineering, Northeast Petroleum University, Daqing, China
Hong-bo Bi
School of Electrical and Information Engineering, Northeast Petroleum University, Daqing, China
ABSTRACT
The accuracy of dynamic prediction of productivity influences the reasonableness of the selected development program greatly. The characteristics and applicable conditions of oil-water composite method, fluid productivity index method and Petrobras method are analyzed in this study. Afterwards, we propose to combine three methods mentioned above to derive a novel productivity analysis model. We calculate the fluid productivity index firstly and then calculate the unknown set of test points based on the principle of Petrobras method, finally choose oil-water composite method to draw the IPR curve. In this study, after calculating reservoir pressure and saturation pressure, we exploit the proposed model to design a productivity analysis and forecasting system for single well. The results show that compared with the traditional methods, the proposed method improves the productivity forecasting accuracy.
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How to cite this article
Ying Liu and Hong-bo Bi, 2013. A Novel Model of Productivity Analysis and Forecasting for Oil-gas Well. Information Technology Journal, 12: 7691-7697.
DOI: 10.3923/itj.2013.7691.7697
URL: https://scialert.net/abstract/?doi=itj.2013.7691.7697
DOI: 10.3923/itj.2013.7691.7697
URL: https://scialert.net/abstract/?doi=itj.2013.7691.7697
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