The synthetic and field seismic datasets for "ClinoformNet-1.0: stratigraphic forward modeling and deep learning for seismic clinoform delineation" ...
This is the synthetic and field siesmic dataset used in manuscript "Three-Dimensional Implicit Structural Modeling Using Convolutional Neural Network". The dimensions of the large-scale and small-scale synthetic seismic datasets are 1600×256 pixels and 900×256 pixels. The field seismic dat...
Main Authors: | , , , , |
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Format: | Dataset |
Language: | unknown |
Published: |
Zenodo
2022
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Subjects: | |
Online Access: | https://dx.doi.org/10.5281/zenodo.7122470 https://zenodo.org/doi/10.5281/zenodo.7122470 |
Summary: | This is the synthetic and field siesmic dataset used in manuscript "Three-Dimensional Implicit Structural Modeling Using Convolutional Neural Network". The dimensions of the large-scale and small-scale synthetic seismic datasets are 1600×256 pixels and 900×256 pixels. The field seismic data contains the subsets of the F3 Block, Australia Poseidon, Alaska North Slope seismic data. ... |
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