Reservoir characterization reimagined: a hybrid neural network approach for direct three-dimensional petrophysical property characterization
Reservoir characterization, crucial for oilfield development, aims to unravel intricate non-linear relationships within real-world data. Conventional methods, rooted in simplistic theories, often lead to uncertainties and inaccuracies in workflows. Leveraging the power of deep learning, this study i...
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Veröffentlicht in: | Carbonates and evaporites 2024-09, Vol.39 (3), p.67, Article 67 |
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Sprache: | eng |
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