CGG is a global geoscience technology leader. Employing around 4,000 people worldwide, CGG provides a comprehensive range of data, products and services that enable our clients to responsibly solve the world’s most complex natural resource, environmental and infrastructure challenges.
This article discusses the importance of performing rock physics diagnostics in the context of rock texture and geological processes that lead to rock formation. This makes it possible to select the right physical rock physics model to perform the modeling and set the parameters intelligently to produce superior results, and at the same time, a good understanding of the uncertainties involved in the outputs.
Are you a physicist, data scientist, engineer, mathematician or problem-solver? Good, glad we have that in common! Join us in transforming real seismic data into stunning 3D images of the Earth’s subsurface. No experience? Don’t worry, we’ll show you the way.
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.
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.