Fast Marching Method-Inspired Inversion Neural Network for Permeability Prediction
<p id="p1">Characterizing permeability heterogeneity is crucial for accurate reservoir modeling, as it dominates fluid flow in subsurface reservoirs. Traditional methods for permeability estimation typically couple reservoir simulators with iterative inversion methods. In addition, the estimation of...
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2025
|
| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/89814 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares: Fast Marching Method-Inspired Inversion Neural Network for Permeability Prediction
- Inverse Space Marching Method for Determining Temperature and Stress Distributions in Pressure Components
- SLAM and Exploration using Differential Evolution and Fast Marching
- Hydraulic Fracturing in Formations with Permeable Natural Fractures
- Mechanisms and Effective Prevention of Damage for Formations with Low-Porosity and Low-Permeability
- The Development and Application of Novel Apparatus for Relative Permeability Measurement
- Introductory Chapter: Causal Models of Electrical Permittivity and Magnetic Permeability