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Geoscience

Solutions for complex energy transition, natural resource and environmental challenges.

Subsurface Imaging

Get the most information out of seismic data with our leading technology and internationally recognized expertise.

Geology and Engineering

Reduce natural resource exploration and development risk with expert geological services and analysis, reservoir characterization and engineering expertise.

Satellite Mapping

We harness the unique capabilities of Earth observation data to address a diverse range of challenges faced by the Energy, Mining, Engineering, Environment and Defense sectors.

Multiphysics

Imaging expertise and industry-leading software for multi-domain data inversion with experience across natural resource and energy transition applications.

Energy Transition

Our geoscience expertise and data integration capabilities enable our clients to be more efficient, effective and responsible in growing their new energy projects.

Environmental Sciences

Analytics expertise and services to help understand, monitor and manage the human impact on our environment and the transition to sustainable resources.

GeoTraining

Embark on tailor-made learning paths that provide immerse and structured learning and access short specialist courses from our industry experts, delivered to your specific requirements.

Resources & News

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Resource

FWI Imaging: Revealing the unprecedented resolution of seismic data

Nov 16, 2021

Although the resolution of a seismic image is ultimately bound by the spatial and temporal sampling of the acquired seismic data, the seismic images obtained through conventional imaging methods normally fall far short of this limit. In addition to attenuation in the Earth, factors such as velocity errors, illumination holes, residual noise and multiples, source and receiver ghost notches, and migration swings can prevent conventional imaging methods from obtaining a high-resolution image of good signal-to-noise ratio (S/N) and well-focused details as promised by the maximum migration frequency. Recently, FWI Imaging, which uses the full-wavefield data to iteratively invert for the reflectivity together with velocity through full-waveform inversion (FWI), has shown to be a superior method for providing seismic images of greatly improved illumination, S/N, focusing, and thus better resolution, over conventional imaging methods. Here, we push FWI Imaging to a frequency close to the temporal resolution limit of seismic data (100 Hz) and demonstrate that FWI Imaging at a very high frequency can provide seismic images of unprecedented resolution from the recorded data, which has been impossible to achieve by other seismic imaging approaches.

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Brochure

IMAGE 2022 Program

Aug 18, 2022

Learn about CGG's latest advances in industry leading geoscience, data science and Earth data that help efficiently and responsibly solve complex digital, energy transition and natural resource challenges. ...

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Investor

CGG Q3 2022 Results

Nov 02 - Nov 02, 2022 | Paris, France

CGG will publish its CGG Q3 2022 Financial Results communication at 5:45 pm CET and hold a management conference call at 6:30 pm CET. ...

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Careers at CGG

Whether you are a recent graduate or an experienced professional, find your next opportunity at CGG.

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Seismic Imager

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.

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Software Developer

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.

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Geoscientist

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.

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