摘要
曲流河相沉积砂体由于其单层薄、横向上不稳定、变化大等特点 ,给实际的石油勘探开发和预测工作造成了很大的困难 .根据某油田曲流河砂体的沉积特点 ,利用人工神经网络技术和多种地震特征参数信息 ,对曲流河砂体的横向分布进行了预测和评价 ,钻探结果表明 。
The oil exploration, development and reservoir prediction for meandering stream sandstone bodies meet lots of difficulties because of their single thin layer, transverse instability and great variations. Based on their sedimentation characteristics, the artificial neural network technique is applied to predict the lateral distribution of meandering stream sandstone bodies and evaluate their petroleum prospects, using different types of seismic attributes. The drilling results show that the prediction results tally with the actual situation.
出处
《同济大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
1999年第1期115-118,共4页
Journal of Tongji University:Natural Science
关键词
曲流河砂体
人工神经网络
砂体预测
评价
Meandering stream sandstone bodies
Back propagation neural networks
Sandstone bodies prediction
