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METHOD AND DEVICE FOR PREDICTING PRODUCTION PERFORMANCE OF OIL RESERVOIR

机译:预测油藏生产性能的方法和装置

摘要

The present disclosure provides a method and device for predicting a production performance of an oil reservoir. The method includes: determining a single-well numerical simulation data set according to geological parameters, rock and fluid parameters and construction data; performing reservoir numerical simulation based on the single-well numerical simulation data set, and determining a standard data set for oil reservoir production performance prediction; establishing a deep belief network (DBN) model for oil reservoir production performance prediction according to the standard data set; and predicting the production performance of a target well by using the DBN model to obtain a production performance prediction result of the target well. The present disclosure can be used to fast and accurately predict the production performance of an oil well in an unconventional oil reservoir. For a given block, the DBN model can be used indefinitely without the target well being put into production.
机译:本公开提供了一种用于预测储油器的生产性能的方法和装置。该方法包括:根据地质参数,岩石和流体参数和施工数据确定单井数值模拟数据;基于单井数值模拟数据集进行储层数值模拟,并确定储油储存性能预测的标准数据集;根据标准数据集建立油藏生产性能预测的深度信仰网络(DBN)模型;通过使用DBN模型预测目标井的生产性能,以获得目标的生产性能预测结果。本公开可用于快速准确地预测在非传统的油藏中油井的生产性能。对于给定块,DBN模型可以无限期地使用,而无需将目标井投入生产。

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