The exploration and development of tight sandstone gas reservoirs are controlled by high-quality river channel sand bodies on a large scale in Sichuan Basin. In order to improve the accuracy of sand body prediction and characterization, Multi-component exploration technology research has been carried out in Northwest Sichuan Basin. First, based on the array acoustic logging data, a forward modeling has been established to analyze the seismic response characteristics of the PS-wave data and P-wave data. The result shows that the response characteristics of the P-wave and PS-wave to the sand bodies with different impedance are different. And then through the analysis of logging data, the effectiveness of the forward modeling has been proved. When the sandstone velocity is close to the surrounding rocks, the P-wave performs as a weak reflection, which may lead to reduce the identification range of the sand bodies. However, the PS-wave exhibits strong reflection, which can identify this type of sand bodies. Finally, by comparing and explaining the PS-wave data and P-wave data, and integrating their attributes, the prediction accuracy of sand bodies is improved. Compared with the interpretation of a single P-wave, the results can significantly expand the distribution range of sand bodies, laying a foundation for improving the production capacity of single wells and reserve submission.

Resonance frequency is an important indicator for structure health monitoring, which can be exacerbated by various natural forces, such as rainfall, earthquakes, and hurricanes (Wu et al., 2021; Shan et al., 2020; Gentile et al., 2016; Moser and Moaveni, 2011). Clinton et al. (2006) found that changes in environmental factors could significantly affect the resonance frequency of the Millikan Library; and that compared with temperature, humidity and strong wind have greater impacts on resonance frequency. Additionally, some studies have confirmed the effects of environmental factors through mathematical statistical analyses, including Xia et al. (2006) , Yuen and Kuok (2010), and Guéguen et al. (2017) . Other studies (e.g., Astorga et al., 2018) revealed a building's self-healing ability, where the building's resonance frequency drifts due to earthquake events, environmental factors, or random forced vibrations could gradually return to its original level, but the recovery time of frequency drift could be considerably different with respect to different environmental factors. Current research on medium resonance modes mainly focuses on translational resonance, but we note that there is consensus that torsional motion (rotational motion around the vertical axis) contributes greatly to building damage (Guidotti et al., 2018; Guéguen et al., 2017) . This highlights the necessity to reconsider the torsional effect during the construction and design of high-rise buildings that are susceptible to strong earthquakes, even for those with seemingly symmetric structures (Rossi et al.