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CGG’s MotionMap UK Data Enhances Ground Risk Reports of Terrafirma Search

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Paris, France
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High-precision ground stability measurements from CGG’s recently released MotionMap UK database will now be used to enhance the specialist ground risk reports of Terrafirma Search, the

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Augmenting reservoir characterization with machine learning

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Paris, France
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Empowering geoscientists with the latest machine learning toolkit and innovative software on the Azure Cloud

Machine learning continues to make the headlines at industry events this year with dedicated workshops and technical sessions.

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Porosity predictions from HampsonRussell Emerge comparing a traditional multi-linear regression (top) to the prediction from a deep feed-forward neural network (DFNN) (bottom). The DFNN result shows a more detailed prediction of the reservoir with improved lateral continuity and a better match at the wells.
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