含水率預(yù)測(cè)模型的改進(jìn)與應(yīng)用
[Abstract]:Logistic water content prediction model and Yu water content prediction model are the most simple and commonly used water content prediction models. Especially, the uncertainty of the relationship between the undetermined parameters and the dynamic and static parameters in the model makes all kinds of water control measures lack of theoretical support, and the application of water content prediction appears random. Therefore, on the basis of Willhite oil phase permeability relationship and its improved formula, four improved water content prediction models and their corresponding water phase infiltration relations are derived by combining the experimental results of Epheros. These improved water content prediction models can be transformed into Logistic water content prediction model or Yu water content prediction model under certain conditions, so they have certain generality. Based on the analysis of the variation characteristics of water content in four kinds of water cut prediction models, it is concluded that the double curve water content prediction model is suitable for fitting the "G" shape water cut and the variation law of development time. The exponential water cut prediction model is suitable for fitting the "S" shape water cut and the variation law of the development time, and the harmonic and complex exponential water cut prediction models can not only fit the "G" shape water cut and the development time variation law, but also fit the model. It can also fit the change law of "S" shape water content and development time. The improved water cut prediction model has high fitting accuracy and good effect through the application of the development blocks in the transitional zone of the north of Daqing oil field, the H2 reservoir in Pinghu oil field and the Paleogene Neogene reservoir in Yanmuxi oilfield, which is worthy of reference by other oilfields.
【作者單位】: 中國(guó)石油吐哈油田分公司勘探開發(fā)研究院;
【基金】:中國(guó)石油科技重大專項(xiàng)(2017E-04-07)
【分類號(hào)】:TE341
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