Multi-Client Data
Gain a unique perspective with the industry's most technically advanced seismic and innovative geological data.
Multi-Client Seismic
Acquire new insight and make more informed decisions with the latest, most technologically advanced seismic data in the world’s key locations.
Featured Surveys
Multi-Client Geology
Enhance subsurface knowledge by complementing seismic with data from our extensive geological multi-client library.
Featured Products
Multi-Client Legacy Data
Reduce exploration risk in frontier basins with a comprehensive portfolio of enhanced legacy data and insightful interpretive products.
Featured Regions
Request a Shapefile
Learn more about our multi-client library coverage. Request a zipped shapefile (.shp) for your region of interest.
JumpStart Packages
Gain easy access to key well and interpretive data sets in a consistent, accessible and ready-to-use format.
Resources & News
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CGG, PGS and TGS Announce Strategic Partnership for shared Multi-Client Data Offerings
Paris, France | Dec 15, 2020CGG, PGS and TGS, industry leaders of multi-client geoscience data, today announced a pioneering strategic partnership to offer a shared ecosystem providing direct access to their subsurface multi-client data libraries.
CGG GeoSoftware and AWS Collaborate to Bring Benefits of Cloud Geoscience Technologies to E&P in China
CGG GeoSoftware and Amazon Web Services (AWS) are extending their collaboration in the global E&P industry to China.
Model misspecification and bias in the least-squares algorithm: Implications for linearized isotropic AVO
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.
The latest from HampsonRussell: Usage of synthetical data in deep and convolutional neural networks
The latest from HampsonRussell: Usage of synthetical data in deep and convolutional neural networks
Careers at CGG
Whether you are a recent graduate or an experienced professional, find your next opportunity at CGG.
GIS Analyst
Become part of our GIS team, the leading independent distributor of commercial satellite imagery. Our experienced remote sensing experts collaborate closely with clients to derive intelligence from imagery across offshore and onshore environments.
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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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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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