The neural network method of parameter recognition for the horizontal well testing
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The horizontal well is a very complex issue, only two situations considered, which are homogeneous and dual media infinite formation in the paper. According to self-organization, self-learning and adaptive characteristics of neural network, mathematical models built, then BP neural network classifier model constructed in order to recognize horizontal well testing parameters, at last, one example on-site given, has proved that the neural network method of parameter recognition for the horizontal well testing is very significant.
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