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ADAM-2D

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ADAM-2D: Apparent Dispersion Analysis of Multi-component data – 2D

 

Characterizing Large Areas (2D and 3D)

Thanks to synergies with European partner companies and our multi-component FVS (Full Velocity Spectrum – Dal Moro et al., 2014) approach, we can acquire and process multi-component data aimed at geotechnical characterization of large areas (2D and 3D). 
With ADAM2D, you obtain the most reliable maps of shear-wave velocity distribution in the subsurface, in both 2D and 3D.

Our approach is based on the multi-component acquisition and analysis of surface waves, providing an improved understanding of shear strength in your geotechnical works, and potentially highlighting small-scale irregularities.

 

Key Benefits

  • Acceptable field effort – compact equipment, applicable even in remote areas (1C, 2C, or 3C data acquisition)

  • Bi- or tri-component field data

  • Robust joint analyses based on Full Velocity Spectra (FVS) inversion of multi-component data, jointly with the RPM (Rayleigh-wave Particle Motion) frequency-offset surface

  • No subjective/interpreted dispersion curve picking

  • High accuracy of results through bi- or tri-objective inversion

    We can acquire and analyze the data or analyze your own data (acquired following our guidelines).

 

References


2D Vs section obtained by the joint analysis of Rayleigh and Love waves via joint Full Velocity Spectra (FVS) inversion performed in the framework of a Horizontal Directional Drilling project.

 




ADAM-2D survey in Switzerland

 

 

Detecting Cavities and Weak Zones

Identifying cavities or weak subsurface zones is a challenging task.
Traditional methods like refraction or simple dispersion analysis cannot reliably detect these features, both theory and practice confirm this.

Our approach

Using multi-component active seismic data, our ADAM service (Apparent Dispersion Analysis of Multi-Component Data) provides:

  • A robust and detailed view of subsurface anomalies

  • Depth slices highlighting problematic zones (potential cavities or weak regions that traditional methods inevitably miss)

  • No reliance on simple shear-wave velocities or refraction travel times, which cannot be unambiguously identified or interpreted

 

Above: depth slices showing problematic zones in red (potential cavities or weak areas) identified through our ADAM service using 3D active seismic data. In this case, there are 4 arrays (each consisting of Z and R components) arranged in parallel and towed along an asphalt road.