Bridging {Geological} {Models} and {Subsurface} {Infrastructure}: {Tools} and {Workflows}.

@inproceedings{Bonneau2026RM,
 abstract = {Building a geological model is a complex task that requires balancing available data, geological knowledge, and interpretation. Uncertainties must also be considered, and a single model is often insufficient to provide a robust understanding of a given area. In parallel, human activities and underground infrastructures must be accurately represented within these frameworks. This representation is essential to anticipate the long-term impact of infrastructures and to support development planning. However, the constraints differ significantly from classical geological modeling: interpretation plays a reduced role due to the availability of dense and precise datasets, while strong geometric and measurement constraints must be respected. This also requires careful data selection and cleaning to remove inconsistent or low-quality information. Geological and infrastructure modeling have traditionally relied on separate tools. Integrating geological models with existing or planned infrastructures therefore raises several challenges, particularly in terms of geometric consistency, topology management, and interoperability between modeling approaches. In this work, we discuss common issues encountered in these contexts and present tools and workflows designed to facilitate the integration of geological models and subsurface infrastructure representations.},
 author = {Bonneau, François and Moulard, Marie and Anquez, Pierre},
 booktitle = {2026 {RING} meeting},
 language = {en},
 pages = {181},
 publisher = {ASGA},
 title = {Bridging {Geological} {Models} and {Subsurface} {Infrastructure}: {Tools} and {Workflows}.},
 year = {2026}
}