AI 中文总结
本研究将宇宙射线缪子探测与地震勘探结合，通过实验室实验验证了该方法可分解地震波速度为密度和弹性常数，能助力准确确定气体饱和度与弹性常数。
AI 中文摘要
当前地球物理勘探方法在以足够空间分辨率准确确定气体饱和度和弹性常数方面面临挑战。地震波速度是这些技术中的关键物理属性，但由于其复合性质涉及密度和两个弹性常数（如体积模量和剪切模量），而这两者存在权衡关系，因此会引入不确定性。我们提出一种新方法，将宇宙射线缪子探测与地震勘探相结合，以独立将纵波和横波速度分解为其组成的弹性常数和密度。首先，我们利用基于Gassmann模型的流体替换方法，说明结合密度信息预测孔隙中气体饱和度的益处，这支持了将地震波速度分解为密度和两个弹性常数的优势。其次，为验证所提方法的适用性和性能，该方法涉及将地震波速度分解为密度和两种弹性常数，我们在实验室中对两个不同目标（丙烯酸块和铝块）进行了实验，收集了缪子和超声波数据。在缪子观测中，考虑到实验室所在建筑的特征以及缪子到达建筑内特定位置的方向，建立了将缪子通量转换为密度长度的关系。尽管推导得到的物理属性（如密度、体积模量和剪切模量）的准确性仍有提升空间，但该方法在实验室尺度下的可行性已得到成功验证。
英文摘要
Current geophysical exploration methods face challenges in accurately determining gas saturation levels and elastic constants with adequate spatial resolution. Seismic wave velocity is a critical physical property in these techniques, but it introduces uncertainties because of its composite nature involving density and two elastic constants (e.g. bulk and shear modulus), which exhibit a trade off relationship. We propose a novel approach that integrates cosmic ray muon detection with seismic exploration to independently resolve P and S wave velocities into their constituent elastic constants and densities. First, we utilized a fluid substitution approach based on Gassmann s model to illustrate the benefits of incorporating density information in predicting gas saturation levels in pores. This supports the advantage of decomposing seismic wave velocity into density and two elastic constants. Second, to validate the applicability and performance of the proposed method, which involves separating seismic wave velocity into density and two types of elastic constants, muon and ultrasonic data were collected in laboratory experiments on two different targets: an acrylic block and an aluminium block. Upon muon observation, a relationship is established to convert muon flux into density length, considering the characteristics of the building housing the laboratory and the direction of muon arrival at specific positions within the building. Although there is potential for enhancing the accuracy of the derived physical properties such as density, bulk modulus, and shear modulus, the feasibility of this method has been successfully demonstrated at the laboratory scale.
Comments12 pages and 8 Figures
