Seismogram synthetizing in the depth-domain with point spread function

被引：0
|
作者：
Zhang J. [1 ]
Xu M. [1 ]
Ye Y. [1 ]
Wang Z. [1 ]
Wang Z. [1 ]
机构：
[1] Hangzhou Research Institute of Geology, PetroChina, Hangzhou, 310023, Zhejiang
来源：
Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting | 2019年 / 54卷 / 04期
关键词：
Convolution; Data interpretation; Depth domain; Point spread function (PSF); Seismogram;
D O I：
10.13810/j.cnki.issn.1000-7210.2019.04.019
中图分类号：
学科分类号：
摘要：
Currently the prestack depth migration (PSDM) becomes the prevailing imaging technology. But the seismic data interpretation and reservoir inversion are still been carried out in the time domain due to the hardness of depth domain seismogram synthetizing. It leads complex workflows and low efficiency. To tackle this problem, we propose a depth domain seismogram synthetizing approach based on unstationary convolution with point spread function (PSF). First, the basic principle of the proposed approach is discussed and the PSF in the spatial domain is derived from the time domain wavelet. Then the depth domain seismogram synthetizing of the PSF unsteady convolution model is presented. Model and real data tests prove the feasibility and accuracy of proposed approach. © 2019, Editorial Department OIL GEOPHYSICAL PROSPECTING. All right reserved.
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页码：875 / 881
页数：6
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