Accurate reservoir characterization is critical for optimizing oil field development and production. In this study, we present a novel approach for modeling categorical fracture orientations to enhance reservoir characterization in an Iranian oil field. By integrating geological data, including well logs and seismic data, with advanced modeling techniques, we develop a comprehensive framework for characterizing fracture orientations as discrete categories. This approach provides valuable insights into fracture network patterns, which are essential for reservoir engineers and geologists to make informed decisions regarding well placement, hydraulic fracturing, and reservoir management. The application of this methodology in the Iranian oil field demonstrates its potential for improving hydrocarbon recovery and overall reservoir performance.