Optimization of pit limit designs by the newly developed BPITC approach

The new concept for final pit shape in open pit design namely Best Positive Inverted Truncated
Cone (BPITC) algorithm is presented for feasibility study and scheduling. Five mineral deposit models were used for eventual surface mine design optimization. Initially, geologicalreserve models were simulated by the utilization of GSLIB using random and regular drill hole data. Effects of varying anisotropy on the obtained metal quantities were also investigated. The BPITC was successfully applied to 100 times simulated deposit models. The optimization results by BPITC were compared with those obtained by Positive Moving Cone (PMC) and Dynamic Cone (DC) based algorithms for the same mineral deposit models. The obtained results indicate that BPITC is superior to all the other optimizers. onclusively,the frequency distribution curves of profits and pit incremental feature by BPITC give effective information on mineral project decision-making and mining sequencing respectively.