Data di Pubblicazione:
2021
Abstract:
This paper tackles the volumetric representation of geophysical and geotechnical data, gathered during exploration surveys
of the subsoil. The creation of a 3D model as support to geological interpretation has to take into account the specificity of
the diverse input data, that are heterogeneous. Some data are massive, but cover the domain unevenly, e.g., structured along
dense differently spaced lines, while others are very sparse, e.g., borehole locations with soil sampling and CPTU (Piezocone
Penetration Test) locations. In this work, we focus on the exploration and analysis of underwater deposits.
After a discussion about the data typically acquired in an offshore campaign, we present an automatic process to generate the
subsurfaces and volume defining an underground deposit, starting from the identification of relevant morphological features in
seismic data. In particular, data simplification and refinement based on geostatistics have been applied to generate regular 2D
meshes from strongly anisotropic data, in order to improve the quality of the final 3D tetrahedral mesh. Furthermore, we also
use geostatistics to predict geotechnical parameters from local surveys and estimate their distribution on the whole domain: in
this way the 3D model will include relevant geological features of the deposit and allow extrapolating different geotechnical
information with associated uncertainty. The volume characterization and its 3D inspection will improve the structural and
stratigraphic interpretation of deposits, to support geological analysis and planning of future engineering activities
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Representation of subsoil; 3D modeling; Geostatistical analysis
Elenco autori:
Miola, Marianna; Mortara, Michela; Cabiddu, Daniela; Pittaluga, Simone
Link alla scheda completa:
Titolo del libro:
STAG: Smart Tools and Applications in Graphics (2021)