Arnaud Huck
Chief Technology Officer at dGB Earth Sciences
Greater Enschede Area Netherlands
Summary
👤
Senior🎓
Top SchoolArnaud Huck is a geophysics-focused technology leader and Chief Technology Officer at dGB Earth Sciences with over 15 years’ experience in seismic reservoir characterization, AVO modelling and well modelling. He combines hands-on R&D programming (C++, Java, Python) with management of global services and customized studies, and leads development of commercial plug-ins for the open-source OpendTect platform. His technical portfolio spans impedance inversions, neural-network rock property prediction, facies classification and seismic chimney mapping for charge and seal-risk analysis across North Sea, African, Middle Eastern and American basins. A published researcher on reservoir characterization and HitCube inversion, he uniquely bridges advanced rock-physics modeling with practical interpreter training and productization. Based in the Netherlands, he is known for translating geoscientific insight into robust software tools that support both research and field-scale decision making.
13 years of coding experience
6 years of employment as a software developer
Master of Science (M.Sc.) Geophysics and Seismology, Master of Science (M.Sc.) Geophysics and Seismology at Université de StrasbourgMaster of Science (M.Sc.) Geophysics and Seismology, Master of Science (M.Sc.) Geophysics and Seismology at Ecole et Observatoire des Sciences de la Terre (EOST)
French, English, Dutch, German, alsatian
Stackoverflow
11reputation
112reached
0answers
1question
Github Skills (26)
machine-learning-models10
openscenegraph9
python9
opengl9
opengl-es9
git-repository8
cmake8
machine-learning8
data-science8
ide7
generics6
operator6
anaconda6
language-server-protocol6
java6
Programming languages (4)
Github contributions (5)
OpendTect/testsurveys
Dec 2016 - Jan 2025
Contributions:31 pushes, 1 branch in 8 years 1 month
OpendTect/dgbpy
Nov 2018 - Dec 2022
dgbpy is a framework for research and deployment of machine learning models from seismic and well data.
Contributions:246 reviews, 347 commits, 141 PRs in 4 years 1 month
pythondata-sciencedeploymentmachine-learningseismic
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