摘要
文章介绍了地震属性油气模式识别的方法。计算多种地震属性 ,进行综合研究 ,找出对油气比较敏感的地震属性。收集油气井与非油气井的井旁道地震属性组成学习样本 ,进行神经网络的学习 。
This paper is about the oil/gas model identification by using seismic multi parameters. We extract kinds of seismic attributes of the reservoir, and choose the seismic attributes which are sensitive to oil/gas. Then we collect the seismic multi parameters of the oil/gas well and no oil/gas well as the learning samples. We input the learning sample data to the neural network, and foresee the whole reservoir.
出处
《海洋石油》
CAS
2001年第4期16-22,共7页
Offshore Oil
关键词
地震属性
油气模式识别
储层
神经网络
油气预测
seismic attribute
*'oil/gas model identification
*'reservoir
*'neural network