川东石炭系储层人工神经网络法预测试验

详细信息

CARBONIFEROUS RESERVOIR PREDICTION TEST USING ARTIFICIAL NEURAL NETWORK METHOD IN REGION OF EASTERN SICHUAN PROVINCE

摘要: 针对川东地区高陡构造下石炭系储层埋藏深、地震反射波信噪比低等待点,提出了一套利用地震资料经人工神经网络训练进行气藏预测的方法,特别是在网络训练前利用模型法对高陡构造和预测点先行归位计算,经实例检验,取得了好的效果。
- 人工神经 /
- 神经网络 /
- 储层 /
- 预测
Abstract: An artificial neural network natural gas prediction method is put forward using seismic data with respect to the characteristics of deeper burial reservoir, and lower signal/ noise ratio in steep structure region of Eastern Sichuan Province. Specially the modeling migration technique is adopted for the structure . and prediction point position. Good results are obtained using these methods to process two seismic profiles.
- artificial neurals /
- neural networks /
- reservoirs /
- prognosis