Abstract Waste management and environmental aspects are progressively gathering attention in the mining industry. Mine planners must deal with increasingly complex tasks to balance between ore block schedules, waste disposal, operational cost and environmental reclamation. The mine incomes are generally related to mining and processing of the ore, thus most optimization researches regarding strategic mining usually focus mainly on ore extraction. Nevertheless, waste sequencing and disposal play an important role given that, in several situations in open pit mining, waste volumes are generally larger than ore volumes and must be moved to reach the buried and deeper ore bodies. In some cases, a significant percentage of operational costs is represented by waste haulage and disposal. Thus a careful planning strategy must be considered to minimize unnecessary expenses. Selecting locations for waste dumps is also a challenge. Many operational and technical aspects must be considered, not to mention the increasingly limiting environmental constraints. This definition can be very time consuming, and if it is not properly studied, may negatively impact the mine operation during its lifetime. This article investigates a new approach for mine waste management called the multi-stage dumping sequence (MSDS), suggesting the use of temporary waste dumps along the way to the final dump destination. Although this method requires material re-handling, which is considered a paradigm in mine industry, it certainly provides additional time to design and permit the final waste dump site and, if well planned, might even result in profit increases by reducing haulage distances in the first years of operation.

Abstract Developing mine sequencing involves a number of factors and a large amount of information, and consequently the profitability of the project will strongly depend on the production schedule. A mining project may be conditioned to non-optimal sequencing, which may affect the economic results of the project and also lead to an inadequate utilization of the mineral resources. The conventional method of mining sequencing is divided into three main steps: first, the delineation of the final pit; second, subdivision of the final pit in operational pushbacks (mining advances) and third, sequencing the blocks in each of these pushbacks, taking into consideration mine, processing plant and market capacities. However, there are some aspects that are not usually incorporated in production scheduling, including ore mining below groundwater level. The objective of this study is to demonstrate the relevance and impact on the results of the Net Present Value (NPV) from groundwater level as a constraint related to the need for its drawdown, also considering grades and Stripping Ratio (SR) variability during mining sequence for a phosphate mine. The results show a difference of U$ 140 million for the evaluation considering and not considering groundwater level, without considering other restrictions.

Abstract Mine planning is dependent on the natural lithologic features and on the definition of their limits. The geological model is constantly updated during the life of the mine, based on all the information collected so far, plus the knowledge developed from the exploration stage up to the mine closure. As the mine progresses, the amount of available data increases, as well as the experience of the geological modeller and mine planner who deliver the short, medium, and long-term plans. This classical approach can benefit from the automation of the geological mapping on the mining faces and outcrops, improving the speed of repetitious work and avoiding exposure to intrinsic dangers like mining equipment, falling rocks, high wall proximity, among others. The use of photogrammetry to keep up with surface mining activities boarded in UAVs is a reality and the automated lithological classification using machine learning techniques is a low-cost evolution that might present accuracies above 90% of the contact zones and lithologies based on the automated dense point cloud classification when compared to the manual (or reality) classified model.

Abstract The aim of the study was to analyze the impact on the strip ratio (SR) through varying haul road geometric parameters in two types of deposits, namely one with a steeper dip and a second one with a more equidimensional horizontal behavior. The SRs and the overall slope angle were compared with a base scenario, where the results show an increase in the SR when: (a) the width of the haul roads was increased; (b) the longitudinal grade of the road was decreased; and (c) switchbacks were added. The increase in the longitudinal grade of 2% was considered the best-case scenario, resulting in 1.08% decrease in the SR for the horizontal deposit and in a 4.15% decrease for the vertical one. It was also noticed that the SR variations are inversely proportional to the overall slope angle variations, illustrating the important role that the geometric design of the haul roads has in the return on capital.

Abstract The current developments with unmanned aerial vehicles (‘UAVs’) are revolutionizing many fields in civil applications, such as agriculture, environmental and visual inspections. The mining industry can also benefit from UAVs in many aspects, and the reconciliation through topographic control is an example. In comparison with traditional topography and maybe modern techniques such as laser scanning, aerial photogrammetry is cheaper, provides faster data acquisition and processing, and generates several high-quality products and impressive level of details in the outputs. However, despite the quality of the software currently available, there is an uncertainty intrinsic to the surfaces acquired by photogrammetry and this discrepancy needs to be assessed in order to validate the techniques applied. To understand the uncertainty, different surfaces were generated by UAVs for a small open pit quarry in southern Brazil. Well-established topographic surveying methodologies were used for geolocation support and comparison, namely the RTK (real-time kinetic) global navigation satellite system (GNSS) (here called conventional method) and laser scanning. The results showed consistency between the UAV surfaces with a few outliers in when vegetation, water and mobile objects during the flight missions. In comparison with the laser-scanned surface, the UAV results were less erratic surrounding the RTK points, showing that surfaces generated by photogrammetry can be a simpler and quicker alternative for mining reconciliation, presenting low uncertainty when compared to conventional methods.

Abstract In open pit mining, dilution is not always a factor systematically analyzed and calculated. Often it is only an adjusted number, for example, calculated or even empirically determined for a certain operational condition perpetuating along time in the form of a constant applied to calculating reserves or mine planning in attendance of audit requirements. Dilution and loss are factors that should be always considered for tonnage and grade estimates. These factors are always associated and can be determined considering several particularities of the deposit and the operation itself. In this study, a methodology was determined to identify blocks adjacent to the blocks previously planned to be mined. Thus, it is possible to estimate the dilution caused by poor operating efficiency, taking into account the inability of the equipment to perfectly remove each block, respecting its limits. Mining dilution is defined as the incorporation of waste material to ore due to the operational incapacity to efficiently separate the materials during the mining process, considering the physical processes, and the operating and geometric configurations of the mining with the equipment available.

O principal objetivo do planejamento mineiro é determinar a distribuição de quantidade e qualidade do minério ao longo de uma sequência de tempo, ou seja, minério necessário para tornar o projeto técnica e economicamente viável. Esse sequenciamento é fundamental para o sucesso financeiro de uma atividade de mineração e, atualmente, esse sequenciamento ideal pode ser obtido através de vários aplicativos computacionais de mineração. A maioria dos estudos em planejamento de lavra apresenta a cava final calculada por um único algoritmo escolhido pelo engenheiro de projeto ou, simplesmente, por disponibilidade. Além disso, variações nos aspectos técnicos e geométricos do projeto podem ser impostas provocando diferenças nos resultados. Existem muitos algoritmos implementados em diversos programas comerciais para o cálculo da cava final e sequenciamento de longo prazo, e, por isso, um dos objetivos desse trabalho é verificar a eficácia dos algoritmos que obtiveram maior reconhecimento dentro da indústria mineral e verificar se existem diferenças relacionadas com o tipo de mineralização e depósito onde eles são aplicados. A comparação é realizada usando dois programas comerciais e dois algoritmos diferentes para determinar se as diferenças podem ser observadas para tipos de mineralização distintos. A aplicação da metodologia foi executada em modelos de blocos tridimensionais estimados e os resultados analisados para os três tipos de depósitos: um corpo de minério de cobre disseminado, um grande depósito de fosfato de origem ígnea e uma mineralização aurífera, de espessura pequena relativamente à extensão em profundidade, apresentando um mergulho subvertical.

The main objective of mine planning is to determine ore quantity and quality distribution along a time sequence, i.e., scheduling the ore necessary to make the project technically and economically feasible. These temporal sequences are fundamental for the financial success of a mining activity and currently this optimal sequence can be obtained through various mining software. Most studies in mine planning present the final pit calculated by only one algorithm chosen by the mining engineer or simply by availability. Besides, technical constraints and geometrical aspects can be imposed promoting differences on the results of the project. There are many algorithms implemented in various commercial software for the ultimate pit calculation. One of the purposes of this work is to check the effectiveness of the algorithms that obtained greater recognition within the mineral industry and if there are differences related to the type of mineralization and deposit where they are applied. The comparison is performed using two commercial software, and two different algorithms to determine if differences can be observed from the different mineralization types. The implementation of the two algorithms in three-dimensional block models estimated and analyzed for three types of deposits: a massive disseminated copper orebody, a large igneous phosphate deposit and a subvertical gold vein type.

Esse estudo apresenta os resultados obtidos usando técnicas de simulação geoestatística combinadas com técnicas de otimização e sequenciamento para análise do impacto de incerteza dos teores no planejamento de lavra. Abordagens tradicionais utilizam modelos estimados por técnicas geoestatísticas (e.g. Krigagem Ordinária, Krigagem dos Indicadores) ou mesmo técnicas clássicas de estimativa para avaliação de depósitos minerais (e.g. Inverso do Quadrado da Distância, Polígonos, Média Móvel). Da mesma maneira, ao se avaliarem projetos de mineração, normalmente, são feitas análises de sensibilidade aos parâmetros econômicos e é desconsiderada a incerteza associada ao modelo geológico. Esse estudo demonstra que os teores podem ter impacto na incerteza de projetos, tanto no aspecto de projeto de cava, quanto no aspecto de viabilidade econômica (análise de sensibilidade).

This study presents the results obtained using geostatistical simulation techniques combined with pit optimization and sequencing to assess the grade uncertainty impact in mine planning and reserve assessment. Traditional approaches use an estimated model by geostatistical methods (Ordinary Kriging, Indicator Kriging) or even classical methods of estimation (IPD, polygons, moving average). In the same manner, to evaluate mining projects, analyses considering economical sensitivity aspects were made, disregarding the uncertainty of the geological model. This study demonstrates that grade estimation can have a relevant impact on the uncertainty over mining projects, even in the open pit design, i.e. in the feasibility study.