| 融合点扩散函数的预条件黏声最小二乘逆时偏移 |
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| 引用本文： | 姚振岸,孙成禹,喻志超,马振. 融合点扩散函数的预条件黏声最小二乘逆时偏移[J]. 石油地球物理勘探, 2019, 54(1): 73-83. DOI: 10.13810/j.cnki.issn.1000-7210.2019.01.009 |
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| 作者姓名： | 姚振岸 孙成禹 喻志超 马振 |
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| 作者单位： | 1. 东华理工大学放射性地质与勘探技术国防重点学科实验室, 江西南昌 330013;2. 中国石油大学(华东)地球科学与技术学院, 山东青岛 266580;3. 北京大学地球与空间科学学院石油与天然气研究中心, 北京 100871 |
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| 基金项目： | 本项研究受国家自然基金项目“深度偏移地震数据特征剖析与深度域直接反演方法研究”（41874153）、国家科技重大专项“复杂目标多尺度资料高精度处理关键技术研究”（2016ZX05006-002）和江西省教育厅科技项目“三维双复杂介质微地震波场全波形模拟与特征研究”联合资助。 |
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| 摘 要： | 在传统黏声最小二乘逆时偏移（Q-LSRTM）中，用于反传残差数据的伴随Q传播算子也是衰减的，因此导致其成像分辨率较低。为了改善Q-LSRTM的低分辨率问题，基于点扩散函数（PSF）构建黏声去模糊滤波器，然后将其作为Q-LSRTM迭代过程中的预条件化因子，最终实现高分辨的衰减补偿偏移，因此称为预条件Q-LSRTM。模型测试表明，预条件Q-LSRTM能获得更高的分辨率、更均衡的振幅以及更快的收敛速度。Q值偏移模型的敏感性测试表明，与Q-LSRTM相似，为了显著改善成像效果，预条件Q-LSRTM也需要相对精确的Q值模型和速度模型。
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| 关 键 词： | 最小二乘逆时偏移 黏声 点扩散函数 去模糊滤波器 预条件 |
| 收稿时间： | 2018-04-14 |
Preconditioned visco-acoustic least-squares reverse time migration integrated with point spread function |
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| YAO Zhen'an,SUN Chengyu,YU Zhichao,MA Zhen. Preconditioned visco-acoustic least-squares reverse time migration integrated with point spread function[J]. Oil Geophysical Prospecting, 2019, 54(1): 73-83. DOI: 10.13810/j.cnki.issn.1000-7210.2019.01.009 |
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| Authors: | YAO Zhen'an SUN Chengyu YU Zhichao MA Zhen |
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| Affiliation: | 1. Fundamental Science on Radioactive Geology and Exploration Technology Laboratory, East China University of Technology, Nanchang, Jiangxi 330013, China;2. School of Geosciences, China University of Petroleum(East China), Qingdao, Shandong 266580, China;3. Institute of Oil & Gas, School of Earth and Space Sciences, Peking University, Beijing 100871, China |
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| Abstract: | In conventional visco-acoustic least-squares reverse time migration (Q-LSRTM),the adjoint Q propagators used for backward propagating residual data are also attenuative.Thus,the inverted images from Q-LSRTM are often observed to have lower resolution.To increase the resolution of Q-LSRTM,a preconditioned visco-acoustic least-square reverse time migration is put forward in this paper.The preconditioner is built with viscoa-coustic deblurring filters based on visco-acoustic point spread function.Model tests show that the preconditioned Q-LSRTM can produce images with higher resolution and more balanced amplitudes with faster convergence rate.With sensitivity tests of migration Q model,as the same case of Q-LSRTM,preconditioned Q-LSRTM also need a fairly accurate estimation of migration Q model in order to obtain noticeable improvements in the image quality,meanwhile a fairly accurate velocity model is also needed. |
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| Keywords: | least-squares reverse time migration visco-acoustic point spread function deblurring filter preconditioned |
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