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.
Environmental
Monitoring the environment and the impact of pollution on natural capital from a micro-to-macro scale with CGG technology, data, and expertise.
Infrastructure
Maximize infrastructure lifespan with structural health monitoring solutions.
Energy Transition
Access data, technology, and expertise for your energy transition commitments.
Digital
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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CGG Commits to Carbon Neutrality by 2050
Paris, France | Jan 27, 2021Aligned with the company’s longstanding commitment to act responsibly and minimize the impact of its activities on the environment, in every sector of its business, CGG has announced its pledge to become carbon neutral by 2050 in scopes 1 & 2 of the Greenhouse Gas (GHG) Protocol.
CGG Extends Northern Viking Graben Dual-Azimuth Multi-Client Survey
CGG announced today phase two of its multi-client 3D survey in the Northern North Sea, which will expand on the phase one acquisition initiated in 2020 to add a second azimuth over CGG’s existing Northern Viking Graben (NVG) multi-client 3D survey and extend coverage into the UKCS. The survey is supported by industry pre-funding.
Prospectivity of the Triassic successions of the North West Shelf of Australia: new insights from a regional integrated geoscience study
The North West Shelf of Australia is a prolific hydrocarbon province hosting significant volumes of hydrocarbons, primarily derived from Jurassic and Cretaceous targets. A new regional, integrated geoscience study has been undertaken by CGG to develop new insights into the paleogeography and petroleum systems of Late Permian to Triassic successions which have historically been underexplored in favour of Jurassic to Cretaceous targets. This comprehensive analysis from a paleogeographic and petroleum system perspective provides a basin evaluation tool for Triassic prospectivity.
SEG | DGS Workshop: Challenges and New Advances in Velocity Model Building
We're talking about near-surface characterization, optimal transport FWI and the importance of pre-processing at this SEG | DGS online workshop, illustrated with case studies from Oman.
Careers at CGG
Whether you are a recent graduate or an experienced professional, find your next opportunity at CGG.
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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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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