Title :
Application of BP Neural Network in Oil Field Production Prediction
Author :
Sun, Lei ; Bi, Yange ; Lu, Guorong
Author_Institution :
Coll. of Geophys. & Inf. Eng., Univ. of Pet., Beijing, China
Abstract :
This paper introduces a new Neural Network model which is suitable for oil production prediction with training parameter set. From the comparison between prediction of oil production and real production, the precision of prediction meets the requirements quite well. In addition, this new model offers better self-adaptive ability and can be used in multi-cycle and multi-descending production forecast. In general, BP Neural Network is an ideal mean for oil production prediction.
Keywords :
backpropagation; neural nets; petroleum industry; production engineering computing; BP neural network; oil field production prediction; real production; self-adaptive ability; training parameter set; Artificial neural networks; Petroleum; Prediction algorithms; Predictive models; Production; Training; Transfer functions; Artificial Neural Network; BP Model; Oil Production Prediction;
Conference_Titel :
Software Engineering (WCSE), 2010 Second World Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9287-9
DOI :
10.1109/WCSE.2010.101