Publications / References

Books

Perrin, Michel; Rainaud, Jean-François (2013). Shared Earth Modeling: Knowledge Driven Solutions for Building and Managing Subsurface 3D Geological Models. Technip. ISBN 9782710810025.

The book covers earth models, knowledge-oriented solutions, knowledge formalization, and management applications.

Conference proceedings

Rainaud, Jean-François; Gauthier, Valentin (2026). Toward a Geomodelling Digital twin: Starting by Projects & Workflow Activities improvements. 87th EAGE Annual Conference & Exhibition, Aberdeen. Video of the talk

Rainaud, Jean-François; Gauthier, Valentin; Leonard, Jean-Marie (2026). Geological and geotechnical data management using the OSDU and RESQML v2.2 standards. 13es Journées Nationales de Géotechnique et de Géologie de l’Ingénieur (JNGG 2026), Grenoble, paper no. 671448.

Rainaud, Jean-François; Gauthier, Valentin; Dantal, Yann; Clausolles, Nicolas; Prognon, F.; Leonard, Jean-Marie (2026). Présentation d’un workflow de mise à jour permanente de modèles géologiques 3D. 13es Journées Nationales de Géotechnique et de Géologie de l’Ingénieur (JNGG 2026), Grenoble, paper no. 671453. hal-05624771

Rainaud, Jean-François; Gauthier, Valentin; Loiselet, Christelle; Clausolles, Nicolas; Dantal, Yann; Perrin, Michel (2025). Orchestrating OSDU/Energistics Geomodelling Activity services and user’s interactive decisions within a Geoscientific Workflow platform. 86th EAGE Annual Conference & Exhibition, Toulouse.

Rainaud, Jean-François; Gauthier, Valentin; Untereiner, Lionel; Perrin, Michel; Arnould, Agnès; Belhaouari, Hakim; Lepaire, Charles (2024). Driving collaboration between OSDU/Energistics Business Activity services by a cloud-native Geoscientific Workflow platform. 85th EAGE Annual Conference & Exhibition, Oslo. Demonstration video

Perrin, Michel; Rainaud, Jean-François (2024). Converting the geology knowledge model embedded in RESQML into a well-conformed domain Ontology. Fourth EAGE Digitalization Conference and Exhibition, Paris.

Untereiner, Lionel; Rainaud, Jean-François; Perrin, Michel; Gauthier, Valentin (2022). A Cloud-Native Standard-based Geoscientific Workflow Architecture for improving geomodelers’ collaboration. 83rd EAGE Annual Conference, Madrid. Video of the talk

Leonard, Jean-Marie; Gauthier, Valentin; Rainaud, Jean-François (2022). Geotechnics and subsurface information: ontologies and data model of the RESQML v2.2 format with examples of interoperable transfers between geomodelling, BIM and GIS softwares. InfraBIM Open Conference, Lyon.

Rainaud, Jean-François; Bac, Alexandra; Perrin, Michel; Daniel, Marc; Untereiner, Lionel (2021). Fault Modeling and Analysis using Implicit Functions. 82nd EAGE Annual Conference & Exhibition, pp. 1–5. 10.3997/2214-4609.202112530 · Video of the poster

Gauthier, Valentin; Labourg, Pierre; Leonard, Jean-Marie; Rainaud, Jean-François (2021). Operational Use Cases Using RESQML Standard to communicate Geotechnics and Subsurface Information to BIM. Near Surface Geosciences EAGE Conference, Bordeaux, pp. 1–5. 10.3997/2214-4609.202120060 · Video of the talk

Journal articles

Garcia, Luan Fonseca; Abel, Mara; Perrin, Michel; dos Santos Alvarenga, Renata (2020). The GeoCore ontology: A core ontology for general use in Geology. Computers & Geosciences, vol. 135, p. 104387. 10.1016/j.cageo.2019.104387

Rainaud, Jean-François; Clochard, Vincent; Delépine, Nicolas; Crabié, Thomas; Poudret, Mathieu; Perrin, Michel; Klein, Emmanuel (2018). Building a 3D faulted a priori model for stratigraphic inversion: Illustration of a new methodology applied on a North Sea field case study. Journal of Applied Geophysics, vol. 154, pp. 128–135. 10.1016/j.jappgeo.2018.04.011

Abel, Mara; Perrin, Michel; Carbonera, Joel Luis (2015). Ontological analysis for information integration in geomodeling. Earth Science Informatics, vol. 8, no. 1, pp. 21–36. 10.1007/s12145-015-0211-9

Bennis, Chakib; Borouchaki, Houman; Dumont, Cyrielle; Lerat, Olivier; Poudret, Mathieu; Rainaud, Jean-François (2014). 3D line-support grid flattening for more accurate geostatistical reservoir population with petrophysical properties. Engineering with Computers, vol. 30, no. 3, pp. 403–421. 10.1007/s00366-012-0311-9