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Article type: Research Article
Authors: Liu, Yinga | Bi, Hongboa; b; * | Zhao, Panpana | Zhang, Yuboa
Affiliations: [a] NorthEast Petroleum University, Daqing, Heilongjiang, China | [b] Harbin Engineering University, Harbin, Heilongjiang, China
Correspondence: [*] Corresponding author: Hongbo Bi, NorthEast Petroleum University, Daqing, Heilongjiang, China. Tel.: +86 0459 6503272; Fax: +86 0459 6504323; E-mail:[email protected]
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
DOI: 10.3233/JCM-160649
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 16, no. 3, pp. 683-690, 2016
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