Abstract
Sudong gas wells vary hugely in production capacity, and meet extremely complex situation in dynamic changing. In view of Sudong gas wells with such characteristics, dynamic prediction of gas wells based on feedback artificial neural network is helpful to improve the exploitation productivity and management efficiency of the gas wells. In this paper, a prediction system based on feedback artificial neural network is developed, which can be used for analysis of dynamic changes of gas wells, forming gas well geological parameters and prediction model for production decline. The reliability, rationality and practicability of the prediction system are guaranteed through full verification and comparison of the predicted results.
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More From: IOP Conference Series: Materials Science and Engineering
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