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Forecast of Oil Production in Fractured-Vuggy Reservoir by Using Recurrent Neural Networks
ZHOU Yuhao, LIU Huiqing, QI Peng, ZHAO Meng, CHEN Yu
CHINESE JOURNAL OF COMPUTATIONAL PHYSICS
2018, 35 (6):
668-674.
DOI: 10.19596/j.cnki.1001-246x.7754
With powerful nonlinear mapping and fitting ability of neural network, a production predicting neural network model is constructed. In view of high error, easy to default and other characteristics of oil field production data or data fitting and prediction is not easy to converge, a method of extended training data set and improved mean square error loss function are presented to get remarkable results in oil production fitting.
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