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

机译:基于BP神经网络的试井模型诊断方法研究。

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摘要

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:本文研究了10种典型的试井理论模型,提取压力导数和压力导数的小波变换作为特征曲线,并根据神经网络的自组织,自学习和自适应特性,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,以诊断10个试井模型。最后,通过实例验证了该方法的可行性。

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