Sumin Kim, Seung-Goo Kang, Yeonjin Choi, Jong-Kuk Hong, Joonyoung Kwak
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引用次数: 0
Abstract
High-resolution seismic imaging allows for the better interpretation of subsurface geological structures. In this study, we employ least-squares reverse time migration (LSRTM) as a seismic imaging method to delineate the subsurface geological structures from the field dataset for understanding the status of Arctic subsea permafrost structures, which is pertinent to global warming issues. The subsea permafrost structures in the Arctic continental shelf, located just below the seafloor at a shallow water depth, have an abnormally high P-wave velocity. These structural conditions create internal multiples and noise in seismic data, making it challenging to perform seismic imaging and construct a seismic P-wave velocity model using conventional methods. LSRTM offers a promising approach by addressing these challenges through linearized inverse problems, aiming to achieve high-resolution, subsurface imaging by optimizing the misfit between the predicted and the observed seismic data. Synthetic experiments, encompassing various subsea permafrost structures and seismic survey configurations, were conducted to investigate the feasibility of LSRTM for imaging the Arctic subsea permafrost from the acquired seismic field dataset, and the possibility of the seismic imaging of the subsea permafrost was confirmed through these synthetic numerical experiments. Furthermore, we applied the LSRTM method to the seismic data acquired in the Canadian Beaufort Sea (CBS) and generated a seismic image depicting the subsea permafrost structures in the Arctic region.
高分辨率地震成像可以更好地解释地下地质结构。在本研究中,我们采用最小二乘反向时间迁移(LSRTM)作为地震成像方法,从野外数据集中划分地下地质结构,以了解北极海底永久冻土结构的状况,这与全球变暖问题息息相关。北极大陆架的海底永久冻土结构位于浅水深度的海底之下,具有异常高的 P 波速度。这些结构条件在地震数据中产生了内部倍频和噪声,使得使用传统方法进行地震成像和构建地震 P 波速度模型具有挑战性。LSRTM 提供了一种很有前景的方法,它通过线性化反问题来解决这些难题,旨在通过优化预测地震数据与观测地震数据之间的不匹配度来实现高分辨率的地下成像。我们进行了包括各种海底永久冻土结构和地震勘探配置的合成实验,以研究 LSRTM 从获取的地震野外数据集对北极海底永久冻土成像的可行性,并通过这些合成数值实验证实了海底永久冻土地震成像的可能性。此外,我们还将 LSRTM 方法应用于在加拿大波弗特海(CBS)获取的地震数据,并生成了描述北极地区海底永久冻土结构的地震图像。
期刊介绍:
Remote Sensing (ISSN 2072-4292) publishes regular research papers, reviews, letters and communications covering all aspects of the remote sensing process, from instrument design and signal processing to the retrieval of geophysical parameters and their application in geosciences. Our aim is to encourage scientists to publish experimental, theoretical and computational results in as much detail as possible so that results can be easily reproduced. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.