神经网络在油气层横向预测和地震道编辑中的应用

Application of neural network to reservoir lateral prediction and trace editing

Using multilayer perceptron (MLP ) for rcservoir lateral prediction and seismic trace editing is presented in this paper. All one has to do in lateral prediction for reservoir is to input stacked migrated seismic data and calibrated well data into a network. The tests on real data ftom the Tarim Basin and Zhongyuan oil fleld exhibit that the predictions resulting from the neural network are in agreement with thc drilling data. As for trace editing,since a supervised learning network MLP is used as a classifier, the systcm is then provided with good applicability to meet user's needs. Calculations using data from Huabei Area show that the editing precision is as high as 96.5%.