Optimized for geoscience data and applications, the CGG Cloud provides high performance compute that is significantly more efficient for the highly-specialized needs of our industry than current commercial cloud offerings.
CGG, a global technology and HPC leader specializing in Earth science, data science, sensing and monitoring, and 2CRSi, a designer and manufacturer of high-performance energy-efficient computer servers, have signed a strategic agreement to jointly launch a new high-performance computing (HPC)-as-a-Service (HPCaaS) offering to meet the needs of HPC clients globally.
CGG announced today that it has entered into a definitive agreement with Industrialization and Energy Services Company ("TAQA") to sell its entire 49% stake in Arabian Geophysical and Surveying Company (ARGAS). ...
For subsurface commercial ventures or environmental projects that rely on maps of faulted horizons, accurate maps are fundamental. Fault topology provides an ideal tool for analysis of connectivity of fault systems. The data required to undertake the ...
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.
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.
Do you enjoy working on open-ended problems? Does designing and implementing algorithms excite you? If so, we are looking for someone like you to propose solutions and add value with your data science expertise!