摘要
鄂尔多斯盆地北部大牛地气田的天然气藏是大型岩性圈闭气藏,储层具有岩性致密、非均质性强的特点,由于地震资料分辨率较低、砂泥岩波阻抗差微弱、煤层反射振幅过强,造成砂体的地震响应特征不明显,储层预测难度极大。通过对叠后地震数据的多子波分解与重构,也就是将地震道分解成不同主频的子波集合,将反映储层频率成分段的子波进行叠加,用于储层含气性预测,在含气砂岩储层预测中取得了良好的效果。
Daniudi Gasfield in 0rdos Basin is typically a lithologic gas reservoir with tight and anisotropic characteristics. There is no obvious seismic response of sand body due to low resolution, small difference of acoustic impedance between sand and shale, and strong reflection events from coal. Therefore, it is very difficult to predict the reservoirs in the area. Using the multi-wavelet seismic trace decomposition and reconstruction, each post-stack seismic trace is decomposed into a set of Ricker wavelets of different dominant frequencies. A new seismic volume is then reconstructed with wavelets within a selected range of dominant frequencies that reflect the reservoirs and used to predict the reservoirs and gas-bearing property.
出处
《西南石油大学学报（自然科学版）》
CAS
CSCD
北大核心
2013年第1期19-27,共9页
Journal of Southwest Petroleum University(Science & Technology Edition)
基金
国家重大科技专项"鄂尔多斯盆地大牛地致密低渗气田勘探开发示范工程"(2008ZX05045–002)
关键词
多子波分解
不同主频
子波集合
叠加
含气性预测
multi-wavelet seismic trace decomposition
different dominant frequencies
set of wavelets
reconstruction
gas- bearing property prediction
