小波多尺度井间地震层析成像方法
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摘要
将小波多尺度分析的思想引入到井间地震层析成像非线性反问题研究 ,首次提出了小波多尺度遗传进化井间地震层析成像方法。该方法是一种非线性全局寻优算法 ,其解大大地优于线性化反演方法的解 ,并极大地提高了地震层析图像的分辨率和图像质量 ,很好地解决了复杂模型和大扰动模型成像的难题。另外 ,小波多尺度反演方法还能够提供不同分辨率的反演图像 ,将有益于层析图像的解释。数值模型试验和实际工程应用结果表明该方法具有很好应用效果
This paper has proposed a wavelet transform based multiscale evolutionary programming seismic tomography by firstly introducing the wavelet multiresolution analysis to the seismic tomography. The method is a global random searching method which solution vastly excels the one of linearized inverse method, thus greatly enhancing the tomographic resolution and quality of tomographic image, effectively solving the difficulty of nonlinear tomography for complicated models or high contrast velocity models. And it also provides different resolution inversion results benefiting geological interpretation of tomographic images. The practicability and good effect of the method have been proved by the numerical modeling and real cases.
引文
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