This project report compares different mineral reserve estimation techniques using Datamine software. The objectives are to reduce costs and time for reserve estimation, predict suitable techniques for precise and accurate reserve computation, and facilitate economic mining. The report describes nearest neighbor, inverse distance, and ordinary kriging methods. It then details the methodology used to model an ore body in Datamine and compare error rates between ordinary kriging and other techniques. The conclusion is that nearest neighbor overestimates grade and underestimates volume while inverse distance overestimates both compared to ordinary kriging.