• ISSN 2097-1893
    • CN 10-1855/P

    深地震反射剖面深度域成像揭示大陆地壳精细结构

    Depth-domain imaging of deep seismic reflection profiles reveals fine structures of the continental crust

    • 摘要: 深地震反射剖面以其高精度的探测能力,已成为研究岩石圈精细结构的前沿技术,并在全球深地探测计划中得到广泛应用. 然而,时间域剖面仅能反映地震波传播时间,难以直接恢复地下真实几何结构及地质界面深度. 因此,基于速度模型实现时间域向深度域的转换,利用深度域成像结果准确刻画地下结构形态,是提升深地震反射剖面透视地球能力的关键环节. 本文系统总结了深地震反射剖面深度域成像技术的发展历程,基于青藏高原、渤海湾盆地、欧洲中部裂谷区等典型大陆深地震反射剖面的国内外实例,重点梳理了叠前深度偏移技术在深地震反射剖面深度域成像上的应用与效果. 未来深度域成像应紧紧围绕高精度成像与精细化速度建模两大核心目标展开,充分依托高质量深地震数据、先进计算平台与多源地球物理约束,不断提升深部地壳结构成像的分辨率、保真度与地质可靠性. 此外,还应大力推进全波形反演、各向异性深度偏移与人工智能辅助速度建模等前沿技术与常规叠前深度偏移的融合应用. 本文的研究结果可为大陆地壳精细结构探测提供重要技术支撑,并为理解地壳深部动力学演化提供参考.

       

      Abstract: With its high-precision detection capability, deep seismic reflection profiling has become a pioneering technique for investigating the fine structure of the lithosphere and has been widely used in numerous global deep exploration projects. The original time-domain profile only reflects seismic wave traveltime and cannot directly and accurately recover the true subsurface geometry and depths of geological interfaces. Therefore, achieving the transformation from the time domain to the depth domain based on a velocity model and accurately depicting subsurface structural morphology using depth-domain imaging results are key steps in enhancing the Earth-imaging capability of deep seismic reflection profiles. In this paper, we systematically summarize the development of deep seismic reflection profile depth-domain imaging technology, focusing on the application and effectiveness of pre-stack depth migration in deep seismic reflection profile depth-domain imaging through domestic and international examples from typical continental deep seismic reflection profiles such as the Tibetan Plateau, the Bohai Bay Basin and the western Eger rift in central Europe. This study can provide critical technical support for the exploration of fine crustal structures in continental regions and serve as a reference for understanding the deep crustal dynamics and evolution.

       

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