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Using multiple elastic parameters from the inversion of seismic data, LithoSI performs a supervised Bayesian classification to deliver probability cubes of predicted lithology or rock properties.
#HAMPSON RUSSELL EMERGE SOFTWARE#
It now delivers deep learning in the form of Deep Feed-forward Neural Networks for more detailed prediction of reservoir properties.ĭan and Brian founded Hampson-Russell Software in 1987 and, as vice presidents within CGG GeoSoftware, continue to guide its strategy and the development of reservoir characterization software.īrian Russell is an internationally recognized expert in seismic inversion, amplitude variation with offset (AVO), and seismic attribute analysis, and provides training courses on these subjects throughout the world.ĭan is the originator of several innovations in the field of seismic processing, including the Generalized Linear Inverse approach to refraction statics analysis and the Parabolic Radon Transform noise and multiple attenuation algorithm.
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GeoSoftware’s HampsonRussell Emerge technology has implemented machine learning methods for over 20 years to address complex geological challenges. Brian Russell spoke at the event about the ‘History of Inversion’ while Jon Downton, Senior Research Advisor for CGG GeoSoftware, gave a technical talk on the latest innovations in ‘Machine Learning Inversion’. The theme of this year’s GSH-SEG Symposium, held from 16-17 April in Houston, USA, was ‘The Resurgence of Seismic Inversion’.
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Dan Hampson and Brian Russell from GeoSoftware, part of CGG’s Geoscience Division were honoured for their groundbreaking achievements in geophysics by the Geophysical Society of Houston and the Society of Exploration Geophysicists at their jointly sponsored 2019 GSH-SEG Spring Symposium and Exhibition in Houston.