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Coalbed Gas Reservoir Using Artificial Intelligent Algorithm of Calculating Relative Permeability Curve Method

机译:煤层气藏相对渗透率曲线计算的人工智能算法

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摘要

For coaled methane reservoir relative permeability curves is difficult to determine. This paper uses artificial intelligence algorithms including genetic algorithms and neural network algorithms to establish mathematical model for inversion relative permeability curves, by combination of dynamic actual production data. The results show that this method is feasible, highly practical in industry.
机译:对于煤层气储层,相对渗透率曲线很难确定。本文结合动态实际生产数据,利用遗传算法和神经网络算法等人工智能算法,建立了相对渗透率曲线反演的数学模型。结果表明,该方法可行,在工业上具有较高的实用性。

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