"Enhanced machine learning capabilities in version 11.0 include WellGen, a new HampsonRussell application, that facilitates deep learning workflows linking geological and geophysical interpretations for more accurate reservoir property estimates in complex reservoirs.
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"Cloud elasticity, the ability to scale access to cloud compute resources, allows geoscientists to unleash the full power of cloud computing to explore more scenarios with increased model complexity and generate tens to hundreds of geostatistical inversion realizations concurrently," CGG said.Īccording to CGG, the new cloud-enabled Jason Multi-Realization capability benefits E&P companies by "dramatically and cost-effectively" reducing the project cycle time while geoscientists can use the additional geostatistical simulation data to improve reservoir characterization and risk assessment. (AWS) and Microsoft Azure cloud platforms. The system runs on both Amazon Web Services, Inc. This advanced integration features flexible cross-product workflows to improve E&P project performance and provide a better understanding of reservoir properties," CGG said.ĬGG said that GeoSoftware 11.0 includes enhanced cloud and machine learning capabilities, optimized computing performance and a superior user experience.
"GeoSoftware 11.0 is a milestone achievement, integrating all of GeoSoftware’s industry-trusted solutions, including Jason, HampsonRussell, PowerLog, RockSI, InsightEarth, and VelPro, so that they can now work together on a single platform.
#HAMPSON RUSSELL NEW PROJECT SETUP SOFTWARE#
French seismic data and technology firm CGG has through its CGG GeoSoftware launched version 11.0 of its portfolio of reservoir characterization and petrophysical interpretation software solutions.
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