GEOSIRIS studies the development of modeler functions (embedded “in premise” in the GeoTopoModeler exploration prototype and Jerboa, a complete tool delivered by the university of Poitiers) dedicated to the building of earth models from seismic and drilling surveys data in tectonically complex zones. Together with academic research teams (Universities of Poitiers, Strasbourg, Marseille and The University Federal do Rio Grande do Sul. Porto Alegre) and Total Exploration and Production Research teams, GEOSIRIS plans to develop and to valorize innovative concepts for automatically building geo-models resting on geological knowledge, using a multi-scale topology and involving very new implicit fault network modeling techniques. At the end, many operational workflows covering different use cases would be based on these functions and presented to the users “on premise” or on the Cloud.



The GTM project uses a set of geological rules previously defined by its promoters (Perrin & Rainaud, 2013). These rules have already been experimented on several use cases. The project took advantage of a former elementary version of the GTM (GeoTopoModeler v1) previously developed in partnership with the University of Poitiers (XLIM laboratory).

At the beginning of the project IFP EN and Total have provided a set of use cases that allows a full testing of the GTM prototype but now we could have also full examples from Equinor, Petrobras and other companies.

A first prototype called ”GeoTopoModeler” (GTM _ 2015-2017), intends to offer to the users a complete structural geomodeling solution that will allow them to build surfacic sealed consistent structural models. This prototype is based on the CgoGN library and the Schnapps development environment designed, distributed and maintained by the I-CUBE Laboratory of the University of Strasbourg. The CgoGNLibrary has capability to handle multiscale topological approaches. This prototype is able to export in a RESQML EPC (for a given area of Interest), for each chrono top and chrono bottom of a given stratigraphic unit, one topology which fits with a given fault network and with two geometries : one corresponding to the present day situation and one to the situation at the time of the unit deposition.

View of the GTM prototype

A second prototype called “PALEO-GTM” (2018-2019) is able to reconstitute and experiment on real data, at a given geological time during the deposition period of a given stratigraphic unit, the location of all the previously deposited stratigraphic units in a complex (faulted) environment.

These intermediate steps are be used to understand the rock material physical composition and the last step (corresponding to present time), to perform in situ physical processes such as fluid flow or mechanical simulations.

During this project realized with Total, Geosiris enhanced two existing prototypes of a new type of Geomodeler based on topological multi-scale data structure, which respectively perform surface and volume modeling. These two existing prototypes are realizing independent business activities. All these business activities takes RESQML V2 entities in input and export the result of their action in a RESQML EPC.

All these protypes are now reworked to deliver a new generation of geomodelling functions based on implicit fault modeling for geomodelling (2020 -2021 program).

View of the Paleo GTM prototype


  • Brandel S., Schneider S., Perrin M., Guiard M., Rainaud J.F., Lienhardt P., Bertrand Y. (2005) Automatic Building of Structured Geological Models, Journal of Computing and Information Science in Engineering 5(2) JOPSAE 2005
  • Verney P., Rainaud J.F., Perrin M., Thonnat M. (2008) A knowledge-based approach of geological interpretation of seismic data: horizon and dip-fault detection by means of cognitive vision, SEG International Exposition and 78th Annual Meeting, Las Vegas 
  • Poudret M, Bennis C, Rainaud J-F , Borouchaki H (2012b). A Volume Flattening Methodology for Geostatistical Properties Estimation. In Proceedings of the 20th International Meshing Roundtable (Quadros WR, Ed). Springer, Albuquerque, NM, pp. 569-585. POUDRET_IMR
  • Gauthier V., Arnould A., Belhaouari H., Horna S., Perrin M., et al.. (Aug 2016) A Topological Approach for Automated Unstructured Meshing of Complex Reservoir. ECMOR XV -15 th European Conference on the Mathematics of Oil Recovery, Amsterdam, Netherlands. ⟨hal-01789851⟩
  • Untereiner, L. (2013). Représentation des maillages multirésolutions : application aux volumes de subdivision. (Doctoral dissertation, Université de Strasbourg) UNTEREINER
  • Gauthier, V. (2019). Développement d’un langage de programmation dédié à la modélisation géométrique à base topologique, application à la reconstruction de modèles géologiques 3D. (Doctoral dissertation, Université de Poitiers) GAUTHIER
  • Perrin, M., Mastella, L., Morel, O., Lorenzatti, A., (2011) Geological time formalization: an improved formal model for describing time successions and their correlation. Earth Science Informatics 4, 81-96.
  • Abel, M., Perrin, M., Carbonera, J. L. (2015) Ontological analysis for information integration in geomodeling, Earth Science Informatics, 8(1), 21–36.
  • Abel, M., Perrin, M., Garcia, L.F., Carbonera, J.L. (2016) Ontologies and data models, PPDM Journal, 3-1, 18-19
  • Abel, M., Carbonera, J.L, Perrin, M., Garcia, L.F. (2016) More on ontologies and data bases : modeling wholes and substances, PPDM Journal, 3-3, 27-30
  • Rainaud, J.F., Perrin, M., Garcia, L.F., Abel, M. (2017) Semantic Interoperability in the Petroleum Exploration Chain: SIPEX research project, Conference: 79th EAGE Conference and Exhibition 2017 Workshops DOI 10.3997/2214-4609.20170178
  • Garcia, L.F., Abel, M., Perrin, M., Alvarenga, R. (2019) The GeoCore ontology: A core ontology for general use in Geology, Computers & Geosciences 135, DOI: 10.1016/j.cageo.2019.104387
  • Book : Perrin M., Rainaud J.F., (2002) Shared Earth Modeling
    Abstract :
    Over the last two decades, earth modeling has become a major investigative tool for evaluating the potential of hydrocarbon reservoirs. Earth modeling must now face the new challenges since petroleum exploration no longer consists in only investigating newly identified resources, but also in re-evaluating the potential of previously investigated reservoirs in the light of new prospecting data and of revised interpretations.
    Earth models incorporate a variety of different interpretations made on various types of data at successive steps of the modeling process. However, current modeling procedures provide no way to link a range of data and interpretations with a final earth model. For this reason, sharing and exchanging information about the model building process is at present a major difficulty.
    Recently, the term “Shared Earth Modeling” has been used for expressing the idea that earth models should be built in such a way that experts and end users can have access, at any time, to all the information incorporated into the model. The information does not only concern the data, but also the knowledge that geoscientists produce by interpreting these data. Accordingly practical solutions must be studied for operating a knowledge-driven approach of Shared Earth Modeling. This is the goal of this book.
    This study of earth subsurface modeling is intended for several categories of readers. It concerns in the first place geologists, engineers and managers involved in the study and evaluation of subsurface reservoirs and hydrocarbon exploration. Relying on recent progress in various fields of computer sciences, the authors present innovative solutions for solving the critical issue of knowledge exchange at key steps of the modeling process.
    This book will also be of interest to researchers in computer science and, more generally, to engineers, researchers and students who wish to apply advanced knowledge-based techniques to complex engineering problems.