Ore body modelling and comparison of different reserve estimation techniques

Abstract

Generally, size of the database is too bulky to manage studies with hand effort. Thus, numerical algorithm and mathematical approaches necessitate computer applications to overcome huge computational time and processes. Currently, many computer aided systems and software serve for geological modeling. The accuracy and speed of computers enable evaluation of various scenarios within reasonably short times. Computer systems have proved very essential for mining and geological studies. In this project, SURPAC software has been used for ore reserve estimation. The estimation has been done using three different methods i.e. inverse distance method (power2 and power 3); nearest neighbor method and ordinary krigging method. Keeping all other parameters same, the computational time for all the above techniques were found to be nearly same. Thus, the efficiency of reserve estimation using nearest neighbor and inverse distance methods were compared with the ordinary krigging method as it is known as the best linear unbiased estimation