首页> 外文期刊>Geophysics: Journal of the Society of Exploration Geophysicists >Green’s theorem as a comprehensive framework for data reconstruction, regularization, wavefield separation, seismic interferometry, and wavelet estimation: A tutorial
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Green’s theorem as a comprehensive framework for data reconstruction, regularization, wavefield separation, seismic interferometry, and wavelet estimation: A tutorial

机译:格林定理作为数据重建,正则化,波场分离,地震干涉法和小波估计的综合框架:教程

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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 interferometry or virtual-source techniques. The attention has renewed interest in Green’s theorem because all different approaches to interferometry can be derived from it. This tutorial provides a derivation and explication of the limitations of interferometric techniques when interferometry is used to process measured data from marine surface seismic experiments with controlled sources as approximations to Green’s theorem. This tutorial provides a definite statement of the comprehensive framework given by Green’s theorem to wavefield reconstruction and shows how different techniques are directly understood as specific mathematical forms and/or approximations to the theorem. The use of approximations can have shortcomings and create artifacts. These artifacts and errors are also analyzed and explained. All methods discussed in this tutorial recognize their foundation on Green’s theorem and have a secure mathematicalphysics cornerstone to recognize the assumptions behind distinct approximate solutions and to guide the search for more accurate, effective techniques.
机译: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,其中与格林定理相关或受益的地震过程包括小波估计,多重消除,正则化,重新计算,成像,反虚像和干涉测量。本教程介绍了根据格林定理得出的各种地震勘探方法,着重强调了地震数据的重建,包括正则化和重新标定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,能源行业越来越关注它,并且在出版的文献中伴随出现了通过干涉测量法或虚拟源技术重建波场的方法。注意力重新引起了格林定理的兴趣,因为可以从干涉定理中得出所有不同的干涉测量方法。本教程提供了干涉测量技术的局限性的推导和说明,当干涉测量被用于处理海洋表面地震实验的测量数据时,可控信号源是格林定理的近似值。本教程明确定义了格林定理给出的用于波场重构的综合框架,并展示了如何将不同的技术直接理解为特定的数学形式和/或对该定理的近似。近似值的使用可能会有缺点,并会造成伪影。这些假象和错误也将进行分析和解释。本教程中讨论的所有方法都可以识别它们基于格林定理的基础,并且具有可靠的数学物理学基石,可以识别不同近似解决方案背后的假设,并指导寻找更准确,有效的技术。

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