Data Library
Accelerate exploration with off-the-shelf seismic and geoscience products and studies.
Northern Viking Graben
Assess opportunities with a unique 44,000 km² regional broadband data set with new dual-azimuth coverage.
GeoVerse™ Geological Database
Access all of CGG’s digitally transformed multi-client geological data, derived from an unrivaled library of geological studies and databases developed over the last 50 years.
Ocean Bottom Node Seismic
Get closer to the reservoir with expert seismic imaging of ocean bottom node (OBN) data.
SeaScope
Strengthen situational awareness and mitigate offshore pollution risk with critical sea surface slick intelligence.
Machine Learning Environment
Solve the toughest petrophysical challenges with the machine learning and deep learning capabilities offered by CGG GeoSoftware.
Rock Physics
Make the connection between reservoir properties and seismic inversion results to enhance your reservoir understanding.
Geothermal
Reduce risk across exploration, development and production with geothermal services that help characterize the subsurface and monitor operations.
Carbon Capture, Utilization & Storage
Accelerate CCUS with integrated geoscience solutions to screen storage sites and optimize development for safe and effective injection and long-term storage of CO₂.
Careers at CGG
As an industry leader, our business spans the geoscience landscape and stretches across the globe. We work with our clients to develop intelligence that enables them to secure energy resources for the world in an efficient, safe and sustainable way.
Resources & News
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GeoVerse Earth Data Day
Oct 12 - Oct 12, 2021 | CDT (UTC-5:00), OnlineJoin us as we showcase GeoVerse: the world’s most diverse, platform-agnostic geological database. This half-day virtual event will include breakout sessions with real-world examples from natural resource exploration, environmental, and energy transition projects.
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
Sercel – Ahead of the CurveSM
Sercel designs, manufactures and supports a full range of high-tech integrated equipment for onshore, offshore and downhole hydrocarbon exploration.
