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传统的非稳态褶积模型假设地震波是垂直入射的,而实际接收到的XT域地震数据不能满足这一假设条件。针对该问题,本文采用径向道变换技术,使地震数据在RT域能够广义上满足该假设条件;同时采用变步长采样双曲光滑法求取了考虑地层吸收衰减影响的非稳态反褶积因子,从而使径向道域变步长采样叠前非稳态反褶积综合了常规反褶积和反Q滤波的优点,实现了高精度、高分辨叠前非稳态反褶积。理论模型和实际资料处理结果表明,与常规非稳态反褶积方法相比,径向道域变步长采样叠前非稳态反褶积结果具有更高的分辨率,同相轴具有更好的横向连续性,更能有效恢复远炮检距和深层的地震数据。
The traditional unsteady convolution model assumes that the seismic waves are incident vertically, whereas the actually received XT-domain seismic data do not satisfy this assumption. In order to solve this problem, this paper uses the radial tract transform technique to make the seismic data satisfy the hypothesis in the RT domain in a broad sense. At the same time, the variable step size sampling hyperbolic smoothing method is used to obtain the unsteady de-pleated Product factor, so that the radial tract variable step variable sampling prestack unsteady deconvolution combines the advantages of conventional deconvolution and inverse Q filtering to achieve high-precision, high-resolution prestack unsteady deconvolution. The theoretical model and actual data processing results show that compared with the conventional unsteady deconvolution method, the results of the prestack unsteady deconvolution in radial tract variable-step sampling have higher resolution and the events are better Of the lateral continuity, more effective recovery far offsets and deep seismic data.