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Abstract

We proposed a combined method which can predict the relationships between moisture content, oil production, water production, liquid production, corresponding cumulative production and development time, as well as the recoverable reserves in the water-drive oil-fields. We combined Hubbert prediction model with A, B and C three types of water-drive characteristic curve methods respectively. Furthermore, we derived the relationship between Weibull prediction model and B type of water-drive characteristic curve. By using. Net software we developed the practical platform, which improves the reliability and convenience of the application. The proposed method overcomes the limitations of the Hubbert model, Weibull model and water-drive characteristic curve methods in predicting development indexes water-drive oil-field respectively.

Keywords

Weibull prediction model hubbert prediction model water-drive characteristic curve method moisture content regression coefficient

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The combined method to predict development indexes in water drive oilfield

Abstract

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