论文部分内容阅读
常规的反褶积方法通过线性褶积压缩子波提高地震记录的分辨率,其能力受到有效信号频带的限制.随机稀疏脉冲非线性反褶积方法将传统的以子波压缩为核心理念的反褶积方法转移到反射系数位置和大小的检测上来,它直接从地震记录中通过非线性反演方法得到反射系数的位置和大小,突破了地震资料有效频带的限制,能够较大幅度提高地震记录的分辨率.同时通过对反射系数统计特征的有效约束,减小了反褶积结果的多解性.模型实验表明,随机稀疏脉冲反褶积对噪声和子波的敏感性较小,能够较好的保护弱反射信号.在模型实验的基础上,利用随机稀疏脉冲反褶积对实际地震资料进行了实验处理,有效的改善了地震资料的分辨率.
The conventional deconvolution method enhances the resolution of seismic records by linearly compressing the compressional wavelets, whose ability is limited by the effective signal band.The random sparse pulse nonlinear deconvolution method uses the traditional wavelet compression as the core idea The convolution method shifts to the detection of the reflection coefficient position and size. It directly obtains the position and size of the reflection coefficient from the seismic record by the nonlinear inversion method, breaks through the limitation of the effective frequency band of the seismic data, and can greatly enhance the seismic record The resolution of the deconvolution results is reduced by the effective constraint on the statistical characteristics of the reflection coefficient.The model experiments show that the random sparse pulse deconvolution is less sensitive to noise and wavelet and can be better On the basis of the model experiment, the actual seismic data are experimentally processed by using random sparse pulse deconvolution, which effectively improves the resolution of seismic data.