Abstract
The application of artificial neural network to control formation damage is studied and corresponding models are constructed: backpropagation neural network and adaptive resonance theory neural network. The former is used to evaluate reservoir sensitivity and the latter to diagnose formation damage. During the application process of artificial neural network to control formation damage, the original data are converted to the data needed in decision-making and the experience of specialists is used in diagnosis and decision-making. This minimizes the influence of uncertain factors on the problem and enables the model to be advanced, predominant and adaptive. The corresponding software based on the research of application of artificial neural network is programmed and the verification of the models constructed shows satisfactory reliability.
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