Compared with surface wave corresponding to the normal mode, which is widely studied, there is less research on guided-P wave corresponding to the leaking mode. Guided-P wave carries the dispersion information that can be used to construct the subsurface velocity structures. In this paper, to simultaneously estimate P-wave velocity (\({{v}}_{{P}}\)) and S-wave velocity (\({{v}}_{{S}}\)) structures, an integrated inversion method of guided-P and surface wave dispersion curves is proposed. Through the calculation of Jacobian matrix, the sensitivity of dispersion curves is quantitatively analyzed. It shows that the dispersion curves of guided-P and surface waves are, respectively, sensitive to the \({{v}}_{{P}}\) and \({{v}}_{{S}}\). Synthetic model tests demonstrate the proposed integrated inversion method can estimate the \({{v}}_{{P}}\) and \({{v}}_{{S}}\) models accurately and effectively identify low-velocity interlayers. The integrated inversion method is also applied to the field seismic data acquired for oil and gas prospecting. The pseudo-2D \({{v}}_{{P}}\), \({{v}}_{{S}}\) and Poisson’s ratio inversion results are of significance for near-surface geological interpretation. The comparison with the result of first-arrival traveltime tomography further demonstrates the accuracy and practicality of the proposed integrated inversion method. Not only in the field of exploration seismic, the guided-P wave dispersion information can also be extracted from the earthquake seismic, engineering seismic and ambient noise. The proposed inversion method can exploit previously neglected guided-P wave to characterize the subsurface \({{v}}_{{P}}\) structures, showing broad and promising application prospects. This compensates for the inherent defect that the surface wave dispersion curve is mainly sensitive to the \({{v}}_{{S}}\) structure.

与广泛研究的简正模对应的表面波相比，泄漏模对应的导P波的研究较少。引导 P 波携带可用于构造地下速度结构的色散信息。在本文中，同时估计 P 波速度 ( \({{v}}_{{P}}\) ) 和 S 波速度 ( \({{v}}_{{S}}\) )结构中，提出了一种导P和面波色散曲线的集成反演方法。通过雅可比矩阵的计算，定量分析频散曲线的灵敏度。结果表明，导P波和面波的色散曲线分别对\({{v}}_{{P}}\)和\({{v}}_{{S}}\敏感）。综合模型测试表明，所提出的集成反演方法可以准确估计\({{v}}_{{P}}\)和\({{v}}_{{S}}\)模型，并有效地识别低速度夹层。集成反演方法也应用于油气勘探现场地震数据采集。伪二维\({{v}}_{{P}}\)、\({{v}}_{{S}}\)和泊松比反演结果对于近地表地质解释具有重要意义。与初至走时层析成像结果的对比进一步验证了所提集成反演方法的准确性和实用性。不仅在勘探地震领域，还可以从地震地震、工程地震和环境噪声中提取导P波频散信息。所提出的反演方法可以利用以前被忽略的导P波来表征地下\({{v}}_{{P}}\)结构，显示出广泛而有前途的应用前景。这弥补了表面波色散曲线主要对\({{v}}_{{S}}\)结构敏感的固有缺陷。