[./index_esp.html]
[./index.html]
[./index_eng.html]
[./index_eng.html]
[./aproposeosys_eng.html]
[./noservices_eng.html]
[./secteursindustriels_eng.html]
[./nosmoyens_eng.html]
[./relationsinvestisseurs_eng.html]
[./generation_prospects_exploration_eng.html]
[./developpementhydrocarbures_eng.html]
[./exploration_miniere_eng.html]
[./stockage_souterrain_eng.html]
[./tunnels_eng.html]
[./environnement_eng.html]
[./defense_eng.html]
[./methode_sismique_eng.html]
[./methode_autres_eng.html]
[./geologie_eng.html]
[./modelisationgeologique_eng.html]
[./geochimie_eng.html]
[./teledetection_photogr_eng.html]
[./sig2dbasededonnees_eng.html]
[./analysesdonnees_logiciel_eng.html]
[./petrole_gaz_eng.html]
[./cma_eng.html]
[./references_eng.html]
[./partenaires_eng.html]
[./recrutement_eng.html]
[./contact_eng.html]
[Web Creator] [LMSOFT]
+
About EOSYS
© 2011 EOSYS 
All Rights Reserved
EOSYS  works in various sectors of economic activity to assess underground resources and development opportunities that present themselves, to concieve underground structures and to limit human and financial risks associated with these projects.

Founded in 1993, it has its head office in Vésinet, near Paris, with offices in Aix-en-Provence.
 

EOSYS has worked on over 70 sites in Europe, Africa and America on projects :

  • exploration, development and de prises de participation minière et pétrolière,
  • design of underground storage facilities and tunnels,
  • nulear security and defense
  • hydrogeologic development and environment analysis.

EOSYS is a geoscience engineering company.
EOSYS integrates different technologies in its projects:
  
  • Data analysis, cartography and geostatistics;
  • Imagery analysis, remote sensing, photogrammetry;
  • GIS;
  • 3D geological modelling;
  • Numerical modelling process;
  • Geophysic data acquisition (magnetic, electric, seismic), processing and interpretation;
  • Geochemic and petrophysic data acquisition, analysis and cartography.


All types of uncertainties (geologic, geographic, geometric, numeric) are taken into account.
Particular attention is paid to the risks and challenges associated with these uncertainties.