Theory-guided data science-based reservoir prediction of a North Sea oil field
Data science-based methods, such as supervised neural networks, provide powerful techniques to predict reservoir properties from seismic and well data without the aid of a theoretical model. In these supervised learning approaches, the seismic-to-rock property relationship is learned from the data....
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Society of Exploration Geophysicists
2020
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| Online Access: | http://hdl.handle.net/20.500.11937/89983 |