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AJAX, an ML model to enhance the visual quality and interpretability of 3D seismic
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Can AI Outshine Human Expertise in Seismic Analysis?
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Creating labels for supervised geoscience applications
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Desmile; another pearl in OpendTect’s library of pre-trained Machine Learning models
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dGB Earth Sciences at IMAGE 2022 - Houston
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Finding Hydrocarbons with OpendTect's Fluid Contact Finder and Chimney Cube
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Free webinar on 'Machine Learning and OpendTect: Building and Training your 2D CNN Model'
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Have you upgraded to version 7 yet?
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Integrated Machine Learning Rock Property Prediction Workflow
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Introducing our new Pre-trained Fault model (Fault Net)
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Join us at the SBGf International Congress in Rio de Janeiro Brazil from October 16th to 19th, 2023!
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Join us for an Exclusive Presentation on Seismic Diffraction Imaging in Malaysia!
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Machine Learning Data Enhancement of 2D Seismic
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Machine Learning Workflows - De-risking charge and seal issues with AI - Neural Network Chimney Cube
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Machine Learning Workflows - Fast and Simple Seismic Facies Analysis - 3D UVQ Waveform Segmentation
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Machine Learning Workflows - Ready to go AI workflows - Apply Pre-trained Model
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Machine Learning Workflows - Seismic Inversion using AI - Machine Driven Seismic Inversion Workflow
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Machine Learning Workflows - Supervised AI Seismic Facies
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Machine Learning Workflows - Using AI for Salt Detection
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New Major OpendTect release
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