Gas-Bearing Prediction Using Transfer Learning and CNNs: An Application to a Deep Tight Dolomite Reservoir
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DOI: 10.1109/lgrs.2020.3035568
Abstract: Predicting gas-bearing zone of deep tight dolomite reservoirs from prestack seismic data is challenging and subject to great uncertainty. Machine learning especially for deep learning (DL) provides a new potential. One main limitation of the… read more here.
Keywords: tight dolomite; gas bearing; deep tight;