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基于LSQR算法的谱反演方法研究
Spectral inversion method analysis based on the LSQR algorithm
【摘要】 阐述了谱反演原理,给出了谱反演流程。通过单道模型、楔形模型和Marmousi模型的应用分析,验证了谱反演从地震记录中去除地震子波影响进而得到反射系数序列的效果,揭示了谱反演补偿频谱的过程。谱反演能够分辨出小于调谐厚度的薄层,提高了地震勘探的分辨率;谱反演具有恢复复杂地质模型的能力,适用于复杂、隐蔽油气藏的勘探。
【Abstract】 The basic principle of spectral inversion was elaborated and the realization workflow was given.By the application analysis of spectral inversion on single-trace model,wedge model and Mamousi model,we verified the effect of removing the impact of seismic wavelet from seismic record and obtaining reflection coefficient sequence,and revealed the compensation of frequency spectrum.Spectral inversion can identify the layer thinner than tuning thickness and improve the resolution of seismic exploration.In addition,spectral inversion can invert complex geologic model and is suitable to prospect the subtle reservoirs.
【Key words】 reflection coefficient inversion; spectral inversion; Least Square QR(LSQR); odd-even decomposition; seismic thin-bed;
- 【文献出处】 石油物探 ,Geophysical Prospecting for Petroleum , 编辑部邮箱 ,2012年01期
- 【分类号】P631.4
- 【被引频次】22
- 【下载频次】409