ADAM-2D

Apparent Dispersion Analysis of Multi-component Data - 2D

 

ADAM2D_T-shirt


Acquisition and processing of multi-component data for the characterization of vast (2D and 3D) areas.

Thanks to the opportunities which originated from the synergies with some European partner companies and our procedures based on multi-component FVS (Full Velocity Spectrum - Dal Moro et al., 2014) approach, we are now capable of acquiring and processing multi-component data aimed at characterizing large areas (2D and 3D) from the geotechnical point of view.

With ADAM2D, you get the most reliable maps of shear-wave velocity distribution in the subsurface, both in 2D and 3D.

Our approach is based on the multi-component acquisition and analysis of surface waves and is capable of providing you an improved understanding of shear strength in your geotechnical works, also possibly putting in evidence small-scale irregularities.



The key benefits of our methodology are:

  • acceptable field effort (compact equipment, then also applicable in remote area - 1C, 2C or 3C data acquisition)
  • bi- or tri-component field data
  • robust joint analyses based on the Full Velocity Spectra (FVS) inversion of multi-component data
  • no subjective/interpreted dispersion curve picking
  • high accuracy of results because of bi- or tri-objective inversion

We might acquire and analyze the data or just analyze your data (acquired according to some guidelines we would provide you).

The methodology is introduced in "Optimizing the exploration of vast areas via multi-component surface-wave analysis" (Dal Moro G. and Keller L., 2015 - EAGE June 1-4, 2015 - Madrid, Spain).
Click
here to download the Poster version.

The adopted joint analysis of multi-component data via FVS is presented in
"Multi-component Joint Analysis of Surface Waves"
(Dal Moro G. , Moura R.M., Moustafa S., 2015 - Journal of Applied Geophysics, 119, 128-138).

 

2D_Vs section


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.