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Latent Diffusion Modeling of Two- and Three-dimensional Fracture Networks with Sparse Observation Conditioning
Characterizing subsurface fracture networks is challenging because geometry and connectivity are sparsely observed and uncertain away from measurements. We develop a latent diffusion framework for unconditional and observation-conditioned generation of two-dimensional (2D) and three-dimensional (3D)
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