CGG HampsonRussell 10.4.2

CGG HampsonRussell 10.4 feature advanced machine learning capabilities and greater cross-product integration, improving E&P project performance and providing a better understanding of reservoir properties.

This new releases already run seamlessly on Microsoft Azure’s Cloud Environment and will soon be available on other major Cloud platforms. Geoscientists can now implement compute-intensive workflows and run very large projects, to process thousands of wells, faster than ever before.

HampsonRussell 10.4: The new Deep Feed Forward Neural Network (DFNN) provides more detailed porosity predictions from seismic attributes and well data (left) compared to multi-linear regression (right).

The new releases feature integration advancements, such as the ability to ‘load once, use everywhere’ to streamline cross-product workflows, as well as other user-driven improvements. HampsonRussell 10.4 updates Advanced Seismic Conditioning to improve seismic data quality for better inversion outcomes and AVO Modeling now offers a wider range of tools for investigating the seismic response of pre-stack data.