GeoSoftware
New GeoSoftware 11.0 - Continuous innovation brings greater reservoir understanding
Optimize and Integrate Geoscience Workflows
Develop a better understanding of the subsurface, manage exploration and development risks, and more accurately quantify reserves with advanced geoscience technology from CGG. We provide the industry’s preferred set of tools and support for multi-disciplinary teamwork and integrated workflows.
Seismic Reservoir Characterization
Predict reservoir properties using the technique most suited to your setting and objectives.
Advanced Seismic Interpretation
Unlock the maximum potential from your reservoir assets with advanced seismic interpretation features.
Machine Learning Environment
Solve difficult petrophysical challenges by applying machine learning and deep learning techniques.
Rock Physics
Integrate petrophysical and geophysical properties to reduce uncertainty in rock property predictions.
Petrophysics
Support your well planning efforts by quickly generating models from field and well data.
Velocity Modeling
Reduce project risk by reliably converting seismic time-based information to subsurface depth.
Software Training
Maximize the value of your investment with software training from basic functionality to highly integrated workflows.
Software Evaluation
Request a no-cost evaluation version of an application from the GeoSoftware portfolio. Most software offers a 30-day evaluation license period on approval.
Software Updates
See the latest features and enhancements for all GeoSoftware applications in one convenient location.
Software Support & Contacts
Visit our support portal to asses a variety of resources. Find software contacts in your region.
Resources & News
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CGG Launches GeoSoftware 11.0 Integrated Portfolio for Reservoir Characterization
Paris, France | Jun 8, 2021CGG GeoSoftware has launched version 11.0 of its extensive portfolio of reservoir characterization and petrophysical interpretation software solutions.
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.
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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