摘要
利用一种全新的人工智能技术──人工神经网络，将测井和地面地震资料（如层速度或波阻抗）联系起来，自动建立测井数据、地震数据和告性间的非线性关系，从而有效地进行岩性预测。
At present,it is realistic to integrate well logging and seismic data to predict lithology in reservoir description. The artificial neural network is a quite new artificial intelligence technique. Using this technique,well logging data are combined with seismic data(interval velocities or acoustic impendences)to automatically construct some nonlinear relationship among well logging data, seismic data and lithologic data. By means of this relationship,the lateral prediction of lithology can be Performed effectively.
出处
《成都理工学院学报》
CSCD
1994年第2期89-93,共5页
Journal of Chengdu University of Technology
基金
国家自然科学基金
中国石油天然气总公司和大庆石油管理局联合资助
关键词
测井数据
神经网络
岩性
预测
logging data
seismic data
lithology prediction
artificial neural network
