The Abu Madi Formation is a major gas reservoir in Egypt's onshore Nile Delta. Characterizing reservoir distribution and quality in the West El Manzala Field is critical for exploration, development, and production. Predicting reservoir permeability is especially challenging yet essential for simulation, forecasting, and field development. This study focuses on accurately estimating Abu Madi Formation permeability in the West El Manzala Field. The Abu Madi reservoir was classified into three hydraulic flow units (HFUs) based on core analysis data. HFU-1 contains very high-quality sandstone with permeability ranging between 300 and 1957 mD, porosity of 22 to 29%, and flow zone indicator (FZI) values of 3 to 10. HFU-2 comprises good quality sandstone with 10 to 235 mD permeability, 15 to 27% porosity, and FZI of 1.5 to 3. HFU-3 consists of poor-quality sandstone with 1 to 10 mD permeability, 10 to 18% porosity, and 0.6 to 1.5 FZI. Neural network models predicted permeability in uncored wells by integrating core measurements of FZI with wireline logs for selected cored wells. This enabled reservoir quality estimation across the field, delivering key insights for development planning in West El Manzala