Improving deep learning performance for predicting large-scale geological $${{CO}_{2}}$$ sequestration modeling through feature coarsening | Scientific Reports - Nature.com
Scientific Reports - Improving deep learning performance for predicting large-scale geological $${{CO}_{2}}$$ CO 2 sequestration modeling through feature coarseningThe aim of the DL workflow is to predict the temporal-spatial evolution of pressures in a 3-dimensional(3D) porous media reservoir, providing a computationally efficient alternative to physics-based ?
Comments
Post a Comment