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Research on the Method of Well Test Model Diagnosis Based on BP Neural Network

机译:基于BP神经网络的井测试模型诊断方法研究

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10 typical well test theoretical models were studied this paper, then extracted pressure derivative and wavelet transform of pressure derivative as the characteristic curve, and according to self-organization, self-learning and adaptive characteristics of neural network, making use of modular neural network structure, constructed the appropriate BP neural network classifier model in order to diagnose 10 well test models. Finally, the method is feasible proved by instances.
机译:10典型的良好测试理论模型研究了本文,然后提取了压力衍生物的压力衍生物和小波变换作为特征曲线,并根据神经网络的自组织,自学和自适应特征,利用模块化神经网络结构,构建了适当的BP神经网络分类器模型,以便诊断10个井测试模型。最后,该方法是可行的,通过实例证明。

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