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ADDCNN: An Attention-Based Deep Dilated Convolutional Neural Network for Seismic Facies Analysis With Interpretable Spatial–Spectral Maps

IEEE Transactions on Geoscience and Remote Sensing, 2021
With the dramatic growth and complexity of seismic data, manual seismic facies analysis has become a significant challenge. Machine learning and deep learning (DL) models have been widely adopted to assist geophysical interpretations in recent years ...
Fangyu Li   +3 more
semanticscholar   +1 more source

Mapping bathymetry and depositional facies on Great Bahama Bank

open access: yesSedimentology, 2015
Satellite imagery and an extensive set of water‐depth measurements have been used to map and critically evaluate the magnitude and patterns of bathymetry across Great Bahama Bank.
John J G Reijmer, Paul, Peter K Swart
exaly   +2 more sources

Facies Identification Based on Multikernel Relevance Vector Machine

IEEE Transactions on Geoscience and Remote Sensing, 2020
Facies identification is a powerful means to predict reservoirs. We achieve facies identification using a relevance vector machine (RVM) and develop a facies discriminant method based on a multikernel RVM (MKRVM). An RVM has the same functional form as a
Xingye Liu   +4 more
semanticscholar   +1 more source

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