Abstract: In order to estimate the resources reserves of the deposit accurately,firstly,the integrated geological database of the mining area is established by adopting the geological prospecting data and production prospecting data that are collected in the Lala mining area;then,the three-dimensional space output characteristics can be can be expressed effectively by the traditional two-dimensional study method,so,in order to remedy the defaults of the two-dimensional study methods,the ore-bodies of the Lala mining area are delineated by adopting the established geological database,the integrated stratum entity model and ore-body entity model of the Lala mining area are established by adopting the geological module of DIMINE software;thirdly,taking the three-dimensional ore-bodies entity model as the constraints，the grade of Cu,Fe are assigned by adopting the distance power inverse ratio method,and the ore-body grade model is also established;finally,the resource reverses is estimated by adopting ordinary kriging method,the results show that the ore reserves is 64.350 1 million t，the metal quantity of Cu is 0.569 million t and the average grade of Cu is 8.482，the metal quantity of Fe is 8.482 million t and the average grade of Fe is 13.182%.The typical ore-bodies are selected as the verify ore-bodies,the comparison analysis of the resources reserves and grade estimation results of vertical selection method and ordinary kriging method,the results show that the grade relative error of Cu and Fe are -1.842%、-4.072% respectively,the relative error of metal quantity of Cu and Fe are -5.4%、-7.797%,the above relative errors are lower than ±10%,therefore,it show that the three-dimensional modeling and reserves estimation results of Lala copper deposit in Huili county with high precise,the analysis results of the paper can provide some results for the effective development and utilization of the Lala copper deposit in Huili county.

Key words: DIMINE, Three-dimensional modeling, Reserves estimation, Distance power inverse ratio method, Ordinary kriging method, Vertical selection method