Parameter Identification of Multistage Fracturing Horizontal Well Based on PSO-RBF Neural Network

Parameter Identification of Multistage Fracturing Horizontal Well Based on PSO-RBF Neural Network

In order to more accurately identify multistage fracturing horizontal well (MFHW) parameters and address the heterogeneity of reservoirs and the randomness of well-production data, a new method based on the PSO-RBF neural network model is proposed. First, the GPU parallel program is used to calculat...

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Bibliographic Details
Main Authors: Rongwang Yin, Qingyu Li, Peichao Li, Detang Lu
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:Scientific Programming
Online Access:http://dx.doi.org/10.1155/2020/6810903

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