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Oil & Gas

Viridien wins 20 MUSD contract to supply a Sercel GPR300 OBN solution for North Sea project

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Paris, France
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Viridien, formerly CGG, announced today that, its Sensing & Monitoring business line, marketed under the Sercel brand, has sold and delivered a GPR300 ocean bottom nodal solution for a total value of approxi

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The GPR300 excels in shallow water depths down to 300 m and has a compact, lightweight design for easy manual handling and simplified deployment and retrieval (image courtesy of Sercel).
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Image of a Sercel OBN GPR300 in shallow water
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    About Viridien (formerly CGG)

    Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Viridien employs around 3,500 people worldwide and is listed as VIRI on the Euronext Paris SA (ISIN: 0013181864).

    Viridien awarded large seismic imaging project in Algeria by Groupement Berkine

    Publish Location
    Paris, France
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    Viridien, formerly CGG, has been selected by Groupement Berkine; a joint venture between Sonatrach, Occidental Petroleum, and other international partners, to perform the seismic imaging of a 3,400 sq km high-density onshore data set currently being acquired over blocks B404a and B208 of the Berk

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    Image of Algerian Berkin Basin
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      Contacts

      About Viridien (formerly CGG)

      Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Viridien employs around 3,500 people worldwide and is listed as VIRI on the Euronext Paris SA (ISIN: 0013181864).

      Detailed mapping of sand injectites integrating seismic attribute analysis and machine learning techniques in the Norwegian North Sea

      This paper illustrates a robust methodology for achieving detailed mapping of sand injectites in the Greater Fram area using seismic attribute analysis and integrating machine learning techniques that are specifically targeted at injectites and fault prediction. Key to our methodology is the use of newly processed dual-azimuth seismic data, characterized by advances in pre-processing, noise mitigation, and velocity model building (VMB) technologies. Applying ML predictions to enable the identification of injectite geobodies provides deeper insights into these subsurface reservoirs, allowing a better understanding of the geometries of the injectites and helping to increase the efficiency of hydrocarbon exploration and production.