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Industry Applications

Bringing insight and experience to meet your challenges

At CGG, we bring a unique perspective on the planet to a diverse range of industries and stakeholders. With leading geoscience and data expertise, the quality of our global data, pioneering technologies and the drive of our people, we work with our clients to understand and solve some of the world’s most complex natural resource, environmental and infrastructure challenges.

Natural Resources

Responsibly manage resource development with our unique geoscience portfolio.


Monitoring the environment and the impact of pollution on natural capital from a micro-to-macro scale with CGG technology, data, and expertise.


Maximize infrastructure lifespan with structural health monitoring solutions.

Energy Transition

Access data, technology, and expertise for your energy transition commitments.


Take your data further for better-informed business decisions using CGG’s digital capabilities.

CGG Cloud Services

Optimized for geoscience data and applications, the CGG Cloud brings more efficiency to our specialized industry than possible with large commercial cloud offerings.

Geothermal Sciences

Evaluate, optimize and monitor geothermal developments with confidence while gaining greater subsurface and operational insight across the asset life cycle.

Carbon Capture, Utilization & Storage

Make more-informed decisions and accelerate site development and sequestration with CGG geoscience services for monitoring sub-surface storage and mitigating risks.

Resources & News

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Press Release

CGG Atteindra la Neutralité Carbone d'ici à 2050

Paris, France | Janv 27, 2021

Conformément à son engagement historique en faveur de l’environnement dans tous ses secteurs d’activité, et à son rôle d’acteur économique et industriel responsable, CGG annonce son objectif d’atteindre la neutralité carbone d'ici à 2050 sur les scopes 1 et 2 du Protocole des Gaz à Effet de Serre (GES).

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Industry Article

Model misspecification and bias in the least-squares algorithm: Implications for linearized isotropic AVO

Sep 2, 2021

This paper shows how to calculate the bias due to misspecified models in least-squares parameter estimation. It introduces Omitted Variable Bias (OVB), a technique well known in least-squares analysis in the context of econometric data analysis. OVB is applied to the analysis of linearized isotropic AVO models, both analytically and numerically. For misspecified models, such as two-term AVO fitting with large angle range or with large contrasts, OVB provides relations between the biased and unbiased least-squares model parameters. A Jupyter notebook and binder link let’s the reader apply the ideas presented to their own AVO models.

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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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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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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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ML and AI Engineer

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.

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