ML4ITS/Latent-Diffusion-Model-for-Conditional-Reservoir-Facies-Generation
[official] PyTorch implementation of Latent Diffusion Model for Conditional Reservoir Facies Generation
This project helps geologists and reservoir engineers create accurate and geologically realistic models of subsurface rock formations, known as reservoir facies. It takes existing geological data as input and generates high-resolution, conditional facies maps, which are crucial for simulating fluid flow and optimizing oil and gas extraction. It is designed for professionals in the oil and gas sector who need to perform advanced reservoir characterization.
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Use this if you need to generate highly realistic and conditional subsurface facies models to improve reservoir characterization and simulation workflows.
Not ideal if you are looking for a simple, off-the-shelf software solution for basic geological mapping without needing advanced generative modeling capabilities.
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17
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6
Language
Python
License
MIT
Category
Last pushed
Nov 07, 2024
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