Ground modeling consulting service

Ground modeling is a digital representation of the subsurface soil and rock conditions in a specific area. It is used to better understand the geological and geotechnical conditions in an area, to make predictions about how soil and rock layers will behave under certain conditions. Data sources used for ground modeling include geophysical and geotechnical surveys, and laboratory tests. 

Offshore ground modeling offers several benefits, including:

• Providing valuable information about the subsurface conditions of an offshore site, allowing engineers and geologists to make informed decisions about the suitability of a site for offshore structures and infrastructure.
• Optimizing the design of offshore structures, such as wind farms, oil and gas platforms, and submarine pipelines. By using ground models, engineers can predict how the soil and rock layers will behave under different loading conditions and make design modifications to improve the stability and longevity of the structure.
• Assessing the potential risks associated with the construction and operation of offshore structures, such as scour and liquefaction. By understanding these risks, engineers can make informed decisions about the best location and design for a structure to minimize the risk of damage or failure.
• Helping to identify potential issues and make design modifications before construction begins, reducing the risk of costly changes or delays during the construction process.
• Helping to ensure the stability and safety of offshore structures, protecting workers and the environment during the construction and operation of these facilities.

Services

Our consulting service aims to support the design, construction, and operation of offshore infrastructure projects. 

Our services include:

• Site investigation and geotechnical characterization.
• Interpretation of geophysical and geotechnical data.
• Creation of a 3D ground model integrating the geotechnical soil units, geological features and seismic reflection data using ad-hoc spatial interpolation techniques.
• Generation of synthetic CPTs using machine learning approaches in order to predict soil characteristics in the areas where the specific data are not present.
• Evaluation of the ground model reliability.
• Provision of a 3D ground model easily readable and questionable by the user.