Tackling Lateral Variability Using Surface Waves: A Tomography-Like Approach

Barone, Ines; Boaga, Jacopo; Carrera, Alberto; Flores-Orozco, Adrián; Cassiani, Giorgio

doi:10.1007/s10712-021-09631-x

Cited by 11 publications

(1 citation statement)

References 65 publications

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“…The group velocity dispersion curves are obtained in a manner like the single-station approach commonly employed in the earthquake seismology. The travel time between the source (x1) and receiver (x2) can be expressed as follows [54].…”

Section: Surface Wave Methodsmentioning

confidence: 99%

Dispersion of Rayleigh Surface Waves and Electrical Resistivities Utilized to Invert Near Surface Structural Heterogeneities

Çakır

Çoşkun

2022

J. Hum. Earth Future

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The single-station Rayleigh surface wave group velocities and electrical resistivities are two data sets that we cooperatively employ to image the near surface (< 40-m) anomaly structures. We numerically simulate the corresponding field measurements where the anomaly structures are assumed to have two-dimensional (2D) variations. The surface waves are represented by fundamental mode dispersion curves, and the electrical resistivities are assumed to be measured by using direct currents. We consider two types of anomaly structures, i.e., cavity and ore body. These two heterogeneities are easily distinguished from the surrounding geomaterial by their distinct physical properties. The cavity is characterized by low seismic velocity and high electrical resistivity, while the ore body is characterized by high seismic velocity and low electrical resistivity. The Rayleigh surface wave data is assumed to be collected throughout the classical common-shot gather. Multiple electrodes, multiple core cables, and multiple arrays are assumed to be used in the electrical survey. Both surface wave group velocities and electrical resistivities are shown to properly invert the anomalous structures in the subsurface. The surface wave group velocities have good horizontal resolution, while the corresponding vertical resolution is somewhat lower. The electrical resistivities have good resolution for shallow structures, but the resolution becomes somewhat reduced with increasing depth. Doi: 10.28991/HEF-2022-03-01-01 Full Text: PDF

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Section: Surface Wave Methodsmentioning

confidence: 99%

Dispersion of Rayleigh Surface Waves and Electrical Resistivities Utilized to Invert Near Surface Structural Heterogeneities

Çakır

Çoşkun

2022

J. Hum. Earth Future

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Near-surface Site Characterization Based on Joint Iterative Analysis of First-arrival and Surface-wave Data

Wang

Sun

2022

Surv Geophys

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Near-surface site characterization is of great significance in the fields of geotechnical engineering and resource exploration. In this paper, we propose a near-surface site characterization method based on the joint iterative analysis of first-arrival and surface-wave data (JIAFS). The proposed method combines the advantages of first-arrival traveltime tomography (FATT) and multichannel analysis of surface waves (MASW). First, the 1D S-wave velocity ($$v_{{\text{S}}}$$ v S ) models obtained by MASW are interpolated to construct the pseudo-2D $$v_{{\text{S}}}$$ v S model. According to the available geological survey information and borehole data, the initial Poisson’s ratio ($$\sigma$$ σ ) model is estimated. Based on the estimated $$\sigma$$ σ model, the pseudo-2D $$v_{{\text{S}}}$$ v S model is converted to a referenced P-wave velocity ($$v_{{\text{P}}}$$ v P ) model which is utilized to constrain the progress of FATT. This helps FATT overcome the inherent defect that it cannot effectively identify velocity-inversion interfaces and low-velocity zones. On the other hand, the $$v_{{\text{P}}}$$ v P model obtained by FATT can provide a favorable priori information to improve the reliability of the results of MASW. Then, the $$v_{{\text{P}}}$$ v P and $$v_{{\text{S}}}$$ v S models obtained by constrained FATT and MASW are used to update the $$\sigma$$ σ model. In addition, the $$v_{{\text{P}}}$$ v P and $$v_{{\text{S}}}$$ v S models are also used as initial models in the next iterative analysis. Finally, through the iteration of this process, the two inversion methods can make use of their own advantages to improve each other, so we can establish accurate near-surface $$v_{{\text{P}}}$$ v P , $$v_{{\text{S}}}$$ v S and $$\sigma$$ σ models under complex geological conditions. A velocity model including low-velocity zone is established for synthetic model test to analyze and verify the advantage of JIAFS. The $$v_{{\text{P}}}$$ v P , $$v_{{\text{S}}}$$ v S and $$\sigma$$ σ models obtained by JIAFS can accurately identify the low-velocity zone and match the true models well. In addition, the proposed method is applied to the field seismic data acquired for oil and gas exploration in Northwest China. Compared with the results of individual inversions and borehole data, JIAFS can establish more reliable 3D $$v_{{\text{P}}}$$ v P , $$v_{{\text{S}}}$$ v S and $$\sigma$$ σ models by interpolating the 2D inversion results, which reveals further details and enhances the geological interpretation significantly.

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Surface Wave Dispersion Measurement with Polarization Analysis Using Multicomponent Seismic Noise Recorded by a 1-D Linear Array

et al. 2023

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Tackling Lateral Variability Using Surface Waves: A Tomography-Like Approach

Cited by 11 publications

References 65 publications

Dispersion of Rayleigh Surface Waves and Electrical Resistivities Utilized to Invert Near Surface Structural Heterogeneities

Dispersion of Rayleigh Surface Waves and Electrical Resistivities Utilized to Invert Near Surface Structural Heterogeneities

Near-surface Site Characterization Based on Joint Iterative Analysis of First-arrival and Surface-wave Data

Surface Wave Dispersion Measurement with Polarization Analysis Using Multicomponent Seismic Noise Recorded by a 1-D Linear Array

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