摘要
随着油气藏勘探开发的不断深入,预测隐蔽性复杂岩性油气藏的空间展布规律变得越来越重要。采用基于傅里叶算法的连续小波变换信号分解和重构技术,对目的层段进行地震资料解释性目标处理,以提高储层预测精度。薄层模型正演模拟和两个实例应用结果表明,该方法在保持地震资料信噪比的基础上能有效提高地震资料中具有地质意义的弱信号,突出薄互层内部细节,其结果有利于精细刻画地层岩性油气藏的空间展布,提高薄储层预测精度。
As the deepening of hydrocarbon exploration and development,the prediction of the spatial distribution of subtle complex lithologic reservoir becomes more and more important.Therefore,we adopted the signal decomposition and reconstruction technique by continuous wavelet transform based on Fourier algorithm to carry out interpretative target processing for seismic data and to improve the precision of reservoir prediction.The forward modeling and two application cases indicate that the method can effectively strengthen the weak signals with geological meaning while preserve the S/N of seismic data,which highlights the inner details of thin interbedded layers.Moreover,the results are beneficial for the fine characterization on the spatial distribution of stratigraphic and lithologic reservoirs and improve the precision of reservoir prediction.
出处
《石油物探》
EI
CSCD
北大核心
2016年第3期433-440,共8页
Geophysical Prospecting For Petroleum
基金
中国博士后科学基金项目(2013M542414)资助~~
关键词
连续小波变换
弱信号
目标处理
储层预测
continuous wavelet transform（CWT）
weak signal
target processing
reservoir prediction
