Green’s theorem as a comprehensive framework for data reconstruction, regularization, wavefield separation, seismic interferometry, and wavelet estimation: A tutorial
Green’s theorem as a comprehensive framework for data reconstruction, regularization, wavefield separation, seismic interferometry, and wavelet estimation: A tutorial
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DOI：
10.1190/1.3237118
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发表时间：
2009-12
期刊：
影响因子：
3.3
通讯作者：
A. Ramirez;A. Weglein
中科院分区：
文献类型：
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作者：
A. Ramirez;A. Weglein
用于处理记录数据的勘探地震学方法链中的几乎每个环节都受到格林定理的影响。与格林定理相关和/或受益于格林定理的地震过程包括小波估计、多重消除、正则化、重数据、成像、消重影和干涉测量。本教程介绍了从格林定理导出的各种地震勘探方法，重点介绍了地震数据重建（包括正则化和重命名）及其与干涉测量以及小波估计和波场分离的关系。在过去的十年中，能源行业及其相应的出版物中对通过干涉测量或虚拟源技术处理波场重建的方法的关注不断增加。这种关注重新引起了人们对格林定理的兴趣，因为所有不同的干涉测量方法都可以从中导出。本教程提供了一个推导...
Almost every link in the chain of exploration seismology methods used to process recorded data has been affected by Green’s theorem. Among the seismic processes that can be related to, and/or have benefited from, Green’s theorem are wavelet estimation, multiple elimination, regularization, redatuming, imaging, deghosting, and interferometry. This tutorial on various seismic exploration methods derived from Green’s theorem emphasizes seismic data reconstruction (including regularization and redatuming) and its relationship to interferometry as well as to wavelet estimation and wavefield separation. The last decade has witnessed ever-increasing attention within the energy industry and its concomitant representation in the published literature to methods dealing with wavefield reconstruction through in-terferometry or virtual-source techniques. The attention has re- newed interest in Green’s theorem because all different ap-proaches to interferometry can be derived from it. This tutorial provides a derivatio...