It can be used in the cloud which enables scalability of hardware resources.Īdvanced Python Scripting for seismic processes enables adding Python plug-ins, giving you a freedom to incorporate your advanced R&D algorithms directly into HampsonRussell.Īccomplish your exploration and development objectives at every stage of your reservoir characterization and interpretation workflows with HampsonRussell 10.4.1. Multi Node Processing distributed across several Linux machines can radically reduce the run-time of pre and post-stack inversion, AVO and gather conditioning processes. Its RockSI component provides linkage to rock physics. This is a new module to improve seismic data quality and achieve more confidence in inversion and AVO.ĪVO Quick Modeling has an expanded range of tools to generate 1D/2D/3D synthetic models and analyze potential seismic response. Integrated wellbore quality and risk assessment study guides successful. A key enhancement is Emerge Deep Learning allowing for more accurate reservoir characterization. Pierre-Yves Granger and Michel Manin, CGG, France Jean-Luc Boelle, Enrico. Machine learning has been a component in Emerge for decades. Power of Machine Learning in Emerge for better reservoir characterization
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New features in HampsonRussell version 10.4.1 delivers continual improvements in reservoir characterization and seismic interpretation technologies aimed at making sophisticated geophysical analysis and workflows accessible to every geoscientist. This package allows constructing customized flows for surface-consistent manual and aytomatic picking of first arrivals in large 3D datasets and their model-based (similar to Hampson-Russells 'GLI3d') inversion. Now Available HampsonRussell 10.4.1 | January 2019: SPEECH - Kurt Russell at Target Presents AFI Night At The Movies on 4/24/13 in Los Angeles, CA.