SEISMIC SPARSE INVERSION METHOD OF IMAGING DATA FOR DETECTING DISCONTINUOUS AND INHOMOGENEOUS GEOLOGIES

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• 作者：ZHAO Jing‐Tao ; YU Cai‐Xia ; PENG Su‐Ping ; MA De‐Bo ; LI Ming ; ZHANG Yan
• 刊名：Chinese Journal of Geophysics
• 出版年：2016
• 出版时间：September 2016
• 年：2016
• 卷：59
• 期：5
• 页码：530-538
• 全文大小：15.6MB
• ISSN：2326-0440

文摘

The small-scale discontinuous and inhomogeneous geologies, such as tiny faults, cavities and fractures, play an important role in reservoir analysis. However, effectively extracting them from seismic imaging data is a challenging problem, as their seismic responses are much weaker than reflections' from large-scale structures. On the other hand, this small-scale information is easily contaminated with noises, which will make their analysis difficult to perform if there is no strategy adopted for improving the signal-to-noise ratio (S/N) of their images. By combing a non-linear filter and a sparsity constraint, a seismic sparse inversion method of imaging data is developed for detecting these small-scale discontinuous and inhomogeneous geologies.