Micro-CT sub-volume dataset for pore-scale rock property prediction using 3D CNNs
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This dataset contains 9261 3D micro-CT image sub-volumes extracted from carbonate rock samples. The data were used to train and evaluate 3D convolutional neural network models for predicting pore-scale rock properties, including porosity, pore size, throat size, coordination number, and pore shape factor.
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Zenodo创建时间:
2026-02-05



