Develop a better understanding of the subsurface, manage exploration and development risks, and more accurately quantify reserves with advanced geoscience technology. We provide the industry’s preferred set of tools and support for multi-disciplinary teamwork and integrated workflows.
Deep neural networks are used to characterize the porosity and permeability of the Dogger formation north-east of Paris, France, that already hosts a number of geothermal plants and is set to become even more important with the transition toward renewable energies. Due to the limited availability of well data, the networks are trained on synthetic well data generated through a combination of theoretical rock physics models and statistical simulations. The networks are applied to 5 seismic lines from the 1980s and the output reservoir properties highlight several highly porous and permeable layers.
Do you treat your code the way you want others’ code to treat you? If so, you are at the right place. We have exciting development work to do globally, including high-performance computing, imaging and reservoir algorithms, and our proprietary seismic imaging software.
What would a geoscience company be without geoscientists? Join a diverse team of sedimentologists, stratigraphers, geochemists and structural geologists to tackle our clients’ exploration and environmental challenges from multi-disciplinary data sets.
You’ll play a vital role in the continual development of our geoscience analytic techniques! Machine learning engineers possess a passion and aptitude for programming and enthusiasm for analytical and problem-solving challenges.