基于BP神经网络在储层预测中研究及应用

利用人工神经网络模式识别技术可以在现有油层下面寻找新的油气储层，也可以预测储层类型。将用于预测的网络提供的浅层地震反演参数集作为输入，经BP网络学习后，对深层或无井储层进行预测。最后利用垦71地区实际参数，对BP神经网络进行检验。

The Rearch and Application of Reservoir Prediction Based on BP Neural Network

The use of artificial neural network pattern recognition technology can find new oil and gas reservoirs below the existing reservoir but also can predict the type of reservoir.After BP learning,useing prediction the network of shallow seismic inversion set of parameters as input,then predict the right or no wells deep reservoir.At last,using the actual cultivated parameters in ken 71 area for the BP neural network for testing.