A New Method to Predict Gas Production Based on Fuzzy BP Artificial Neural Network

Abstract:

BP neural network has been successfully used in the gas well productivity prediction, but as a result of neural network is sensitive to the number of input parameters, we had to ignore some factors that is less important to the gas well productivity. In addition, the existing various productivity prediction method cannot consider the influence of some important qualitative factors. This article integrated the advantages of fuzzy comprehensive evaluation and BP neural network, fuzzy comprehensive evaluation method is used to construct the BP neural network's input matrix, and BP neural network learning function is used to solve the connection weights, so as to achieve the aim of predicting gas production. This method not only can consider as many factors influence on gas well production, ut also can consider qualitative factors, so the forecast results of the new model are more realistically close to the actual production situation of reservoirs.

• Periodical: Advanced Materials Research (Volumes 1044-1045)
• Pages: 688-691
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1044-1045.688
• Online since: October 2014
• Authors: Ran Zhang*, Jun Zhou, Cheng Yong Li
• Keywords: Fuzzy BP Neural Network, Predict Gas Production, Reservoir Parameter

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