Speeding Up Your Reservoir Characterization with Rock Physics Driven Machine Learning in GeoAI

Watch the webinar recording on the new HampsonRussell technology, GeoAI, which encompasses a novel machine learning method for seismic reservoir characterization with limited well control. GeoAI uses Rock Physics models to derive synthetic well logs and associated seismic data that can be used to train Convolutional Neural Networks. Once trained these networks can predict high detailed estimates of multiple rock and elastic property volumes, requiring less user expertise in a simplified workflow.

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