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CGG GeoSoftware Adds Machine Learning Applications for Reservoir Characterization Using Python Ecosystem Technology

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Paris, France
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CGG GeoSoftware, part of CGG’s Geoscience division, has announced that machine learning technology in Python ecosystems will be available in upcoming releases of its flagship HampsonRussell and Jason reservoir characterization solutions.

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Machine learning application predicts Density using a deep neural network (left-side section and horizon) that shows more detail and better lateral continuity compared to multi-linear regression (back section) (image courtesy of CGG GeoSoftware).
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      About CGG

      CGG (www.cgg.com) is a global geoscience technology leader. Employing around 3,700 people worldwide, CGG provides a comprehensive range of data, products, services and solutions that support our clients to more efficiently and responsibly solve complex natural resource, environmental and infrastructure challenges. CGG is listed on the Euronext Paris SA (ISIN: 0013181864).

      Delaware Basin: lifting the Cenozoic veil

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      Paris, France
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      The latest seismic technology and multi-client products provide a new perspective on Northwest Texas plays

      Booming hydrocarbon production in the Permian basin over the last few years allowed the United States to become, once again, one of the world’s top exporters.

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      Time-lag full waveform inversion (TLFWI) results from CGG’s Gini 3D survey in the Delaware Basin. Top panel: 22Hz TLFWI output velocity model. Bottom: Velocity perturbation showing how TLFWI has updated the initial smooth input model. Final migrated seismic is overlain on both sections for reference (image courtesy of CGG Multi-Client & New Ventures).
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        Group Communications & Investor Relations Contacts

        About CGG

        CGG (www.cgg.com) is a global geoscience technology leader. Employing around 3,700 people worldwide, CGG provides a comprehensive range of data, products, services and solutions that support our clients to more efficiently and responsibly solve complex natural resource, environmental and infrastructure challenges. CGG is listed on the Euronext Paris SA (ISIN: 0013181864).

        Modern Facies Analysis Brings Greater Accuracy to Reservoir Models

        Publish Location
        Paris, France
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        New facies-first technique provides greater geo-model accuracy to optimize reservoir appraisal and assessment

        Deriving facies models from the outcomes of seismic inversions, and their derivatives, has become standard practice in reservoir characterization workflows.

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        Bayesian facies analysis of a Barnett Shale data set. Green represents litho-facies with the highest quartz content and the greatest brittleness. Image courtesy of CGG GeoSoftware.
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          Group Communications & Investor Relations Contacts

          About CGG

          CGG (www.cgg.com) is a global geoscience technology leader. Employing around 3,700 people worldwide, CGG provides a comprehensive range of data, products, services and solutions that support our clients to more efficiently and responsibly solve complex natural resource, environmental and infrastructure challenges. CGG is listed on the Euronext Paris SA (ISIN: 0013181864).