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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Predicting Reservoir Production Based on Wavelet Analysis-Neural Network
verfasst von : Zhidi Liu, Zhengguo Wang, Chunyan Wang
Erschienen in: Advances in Computer Science and Information Engineering
Verlag: Springer Berlin Heidelberg
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During oil field development, production prediction is related to effectively develop oil reservoirs. In the process of prediction production commonly using modular dynamics testing (MDT), it will introduce larger error that MDT data is directly used to predict production. Considering this issue, the wavelet coefficients that are extracted from the MDT data using wavelet analysis method, then the neural network method is used for establishing production predicting model that use drill stem testing (DST) production and wavelet coefficients. The set of MDT production predicting method is applied to predict production in Karamay oil field. The results show that it can obtain good accuracy.