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Well Log-Guided Synthesis of Subsurface Images from Sparse Petrography Data Using cGANs

arXiv:2603.09651v1 Announce Type: cross Abstract: Pore-scale imaging of subsurface formations is costly and limited to discrete depths, creating significant gaps in reservoir characterization. To address this, we present a conditional Generative Adversarial Network (cGAN) fram...

🔗 Read more: https://arxiv.org/abs/2603.09651

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