STOPE GEOMETRY OPTIMIZATION IN VEIN DEPOSIT USING HEURISTIC ALGORITHM WHICH CONSIDERED GEOMECHANICAL PARAMETERS (CASE STUDY: UBPE ANTAM PONGKOR)

• Main Author: Putra, Danu
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/47255
• Institution: Institut Teknologi Bandung

Stope is a space of the underground mining section where the ore body is mined and then excavated material is brought to the surface for further processing. Stope optimization is a series of work on the underground mine planning section that aims to maximize the value of the stope to be excavated. Many parameters play a role in optimizing the stope. The complexity of this activity is the reason for the development of the optimization algorithm stope in the world is running fast. One of the common parameters that play a role in this optimization is the economic and geomechanics parameters. Geomechanics parameters as part of optimization are rarely considered directly in the optimization algorithm. This study aims to involve geomechanics parameters in the stope optimization algorithm so that the optimization of the stope runs more optimally and completely. In addition, this research is expected to provide advancements to the optimization algorithm by integrating the two main parameters of this optimization. MATLAB as one of the programming languages is used as an algorithm making media. The Mathews stability chart is used as a method of stability analysis as an integration in the algorithm in providing a stope dimension recommendation. This algorithm is then tested with field data. Model blocks with 260,700 blocks containing geomechanics and economic attributes are used as test media. Six orientation test optimizations are used in the optimization algorithm. The algorithm then produces one solution with a width of 7.5 meters, a length of 7.5 meters based on the input parameters of the 5 meter stope height. The algorithm has also been tested following the geomechanics limits based on Mathews stability charts. Based on six optimization orientations, there are three orientations (KJI, JIK, and JKI) that produce optimal results with the same feasibility design and output. Total 199 stope with mined ore material of 130,506 tons, gold weight 1,323,153 grams, gold content of 10,154 grams / ton and total worth of 29,577,542 tons is the optimal solution generated by the new algorithm.