Dgb Earth Sciences Resources Videos Machine Learning Workflows Machine learning workflows using ai for salt detection published: 17 april 2023. Doodle: machine learning is here!.
Dgb Earth Sciences Press Dgb Earth Sciences Announces The Release Of Opendtect machine learning developers q&a webinar: how to use my own keras model in the ml ui?. Doodle: machine learning is here! introduction: opendtect pro & opendtect 6: what is new?. The ml workflow is called “seismic image segmentation.” we train a 2d unet (128x128 samples) to transform a seismic image into an image with values between 0 (no salt) and 1 (salt). To get started with machine learning in opendtect several datasets are provided on terranubis with wich all plugins are available for all users. there is of course f3 offshore the netherlands, penobscot and recently two more sets were added in support of force competition.
Dgb Earth Sciences Doodle Videos The ml workflow is called “seismic image segmentation.” we train a 2d unet (128x128 samples) to transform a seismic image into an image with values between 0 (no salt) and 1 (salt). To get started with machine learning in opendtect several datasets are provided on terranubis with wich all plugins are available for all users. there is of course f3 offshore the netherlands, penobscot and recently two more sets were added in support of force competition. This is a recording of the machine learning webinar q&a demo image to image workflow by dgb earth sciences' paul de groot. duration: 23:15. In this webinar, david markus (head of ai, dgb earth sciences) presents the latest advances in machine learning for seismic interpretation within opendtect workflows. We discuss image to image versus image to point, deep versus shallow and give a demo salt cube prediction using a shallow multi layer perceptron and a deep lenet convolution neural network. duration: 24:24. On the opendtect ml dev github repository you can find examples on how to develop your own machine learning tools and workflows as presented in the machine learning webinar videos.
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