Hierarchical fuzzy-AHP-based multi-criteria decision making approach for selection of underground metal mining method

2021 ◽  
Vol 15 (3) ◽  
pp. 405-420
Author(s):  
Bhanu Chander Balusa ◽  
Amit Kumar Gorai
Keyword(s):  
Decision Making ◽  
Underground Mining ◽  
Fuzzy Ahp ◽  
Hanging Wall ◽  
Ore Deposits ◽  
Mining Method ◽  
Metal Mining ◽  
Extrinsic Factors ◽  
Ore Deposit ◽  
Mining Methods

In the last few decades, many underground mining methods were proposed for extractions of ores. The decision-making for selecting the most suitable mining method for a typical ore depost depnds on various intrinsic and extrinsic factors (intrinsic – dip, shape, thickness, depth, grade distribution, RMR (rock mass rating) and RSS (rock substance strength) of ore, hanging wall, footwall, and extrinsic – recovery, dilution, safety, productivity, flexibility, capital). The present study aims to develop a hierarchical Fuzzy-AHP (FAHP) model for choosing the most suitable underground mining method for an ore deposit. The structure of the proposed hierarchical FAHP model consists of five levels. The level-1 of the hierarchy defines two variables (intrinsic factors and extrinsic factors). These are further classified into quantitative or qualitative nature of variable (listed in level-2). The criteria, sub-criteria, and mining method variables are listed respectively in Level 3, Level 4, and Level 5. For each level of the hierarchy, a fuzzy pair-wise comparison matrices are developed using the corresponding levels’ listed variables. These matrices at each level are subsequently used to determine the local and global weights of each variable. The global weights are used for prioritizing the different mining methods. The proposed hierarchical FAHP model was validated by considering the field data of two different ore deposits in India. The results showed that the most appropriate mining method predicted from the decision-making model and the adopted mining method for extracting the ore deposit are same in two case studied mines.

Development of Fuzzy Pattern Recognition Model for Underground Metal Mining Method Selection

2021 ◽  
Vol 12 (4) ◽  
pp. 64-78
Author(s):  
Bhanu Chander Balusa ◽  
Amit Kumar Gorai
Keyword(s):  
Pattern Recognition ◽  
Hanging Wall ◽  
Mining Method ◽  
Metal Mining ◽  
Ore Deposit ◽  
Recognition Model ◽  
Fuzzy Pattern Recognition ◽  
Sublevel Caving ◽  
Fuzzy Pattern ◽  
Deposit Characteristics

Selection of underground metal mining method is a crucial task for the mining industry to excavate the ore deposit with proper safety and economy. The objective of the proposed study is to demonstrate the application of a fuzzy pattern recognition model for the decision-making of the most favourable underground metal mining method for a typical ore deposit. The model considers eight factors (shape, depth, dip, rock mass rating [RMR] of ore zone, RMR of footwall, RMR of hanging wall, thickness of the ore body, grade distribution), which influence the mining method, as input variables. The weights of these factors were determined using the analytic hierarchy process (AHP). The study used the pair-wise comparison method to determine the relative membership degrees of qualitative and quantitative criteria as well as weights of the criteria set. The model validation was done with the deposit characteristics of Uranium Corporation of India Limited (UCIL), Tummalapalle mine selected. The weighted distances for easiest to adopt are found to be 0.1436, 0.0230, 0.0497, 0.2085, 0.0952, 0.1228, and 0.1274, respectively, for block caving, sublevel stoping, sublevel caving, room and pillar, shrinkage stoping, cut and fill stoping, and squares set stoping. The results indicate that the room and pillar mining method is having the maximum weighted distance value for the given ore deposit characteristics and thus assigned the first rank. It was observed that the mining method selected using fuzzy pattern recognition model and the actual mining method adopted to extract the ore deposit are the same.

scholarly journals Application of Fuzzy Analytic Hierarchy Process to Underground Mining Method Selection

Symmetry ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 192 ◽  
Author(s):  
Sanja Bajić ◽  
Dragoljub Bajić ◽  
Branko Gluščević ◽  
Vesna Ristić Vakanjac
Keyword(s):  
Decision Making ◽  
Expert Knowledge ◽  
Underground Mining ◽  
Optimal Solution ◽  
Multiple Criteria ◽  
Final Decision ◽  
Mining Method ◽  
Multiple Criteria Optimization ◽  
Mining Methods ◽  
Selection Of

The paper proposes a problem-solving approach in the area of underground mining, related to the evaluation and selection of the optimal mining method, employing fuzzy multiple-criteria optimization. The application of fuzzy logic to decision-making in multiple-criteria optimization is particularly useful in cases where not enough information is available about a given system, and where expert knowledge and experience are an important aspect. With a straightforward objective, multiple-criteria decision-making is used to rank various mining methods relative to a set of criteria and to select the optimal solution. The considered mining methods represent possible alternatives. In addition, various criteria and subcriteria that influence the selection of the best available solution are defined and analyzed. The final decision concerning the selection of the optimal mining method is made based on mathematical optimization calculations. The paper demonstrates the proposed approach as applied in a case study.

Underground Mining Method Selecting System Based on Fuzzy Theory

2011 ◽  
Vol 402 ◽  
pp. 631-635 ◽  
Author(s):  
Hai Wang Ye ◽  
Fang Liu
Keyword(s):  
Decision Making ◽  
Fuzzy Clustering ◽  
Comprehensive Evaluation ◽  
Underground Mining ◽  
Fuzzy Theory ◽  
Fuzzy Comprehensive Evaluation ◽  
Underground Mine ◽  
Mining Method ◽  
The Core ◽  
Mining Methods

It is well known that mining method is the core of an underground mine. In order to select mining methods scientifically and reasonably, after summarizing the underground mining methods, an underground mining methods selecting system based on fuzzy theory is established, which includes primary selecting based on fuzzy clustering and final selecting based on multi-objective decision-making and fuzzy comprehensive evaluation. And the application shows that the mining method selected by the system is the same as the method used in practice, which proves that the selecting system is feasible and reliable.

THE EVALUATION OF AN ORE DEPOSIT DEVELOPMENT PROSPECT THROUGH APPLICATION OF THE "GAMES AGAINST NATURE" APPROACH

2013 ◽  
Vol 30 (06) ◽  
pp. 1350029 ◽  
Author(s):  
MARIUSZ KRZAK
Keyword(s):  
Decision Making ◽  
Mineral Deposit ◽  
Ore Deposits ◽  
Supplementary Information ◽  
Decision Making Process ◽  
Final Decision ◽  
Investment Risk ◽  
Economic Market ◽  
Ore Deposit ◽  
Mining Projects

Geological-mining projects are usually associated with relatively high risk and uncertainty in many aspects, including geological, mining, ecologic, economic, market, legal and social conditions. A mineral deposit is an underground natural resource and hence it is difficult to unequivocally predict the actual results of its discovery. Depending on the extent of the resource, the operation of the mine can extend to a few decades. It is necessary to conduct investment actions in successive stages and to evaluate the results of the work stage by stage. This reduces the investment risk and facilitates the decision-making process. In this paper, the use of a specific kind of game, the so-called "game against Nature," is suggested before a final decision on deposit development is made. This methodology was tested on the example of one of the zinc-lead ore deposits in the Silesia-Cracow region. Apart from supporting the decision-making process, this methodology offers the means to evaluate further research and costs which may be incurred for obtaining supplementary information related to the ore deposit parameters, specifically its reserves.

scholarly journals On the concept of in-situ metal leaching

2021 ◽  
Vol 5 (4) ◽  
pp. 349-357
Author(s):  
O. Z. Gabaraev ◽  
A. O. Gabaraeva ◽  
N. T. Dedegkaeva ◽  
Zh. Bolotbekov
Keyword(s):  
Process Intensification ◽  
Ore Deposits ◽  
Metal Extraction ◽  
Metal Leaching ◽  
Metal Mining ◽  
Traditional Methods ◽  
The North ◽  
Mining Methods

The information on history of in-situ metal leaching method (ISL) was given. The role of Russian scientists and research organizations in research into ISL processes was shown. Examples of ISL application at the mines of the USSR, the CIS and nonCIS countries with the implementation features were given. The main disadvantages of ISL were formulated: low rate of metal production and difficulty in monitoring the completeness of metal recovery into pregnant solution. It was noted that underground leaching of even well-crushed ores lasts for many years. This, under otherwise equal conditions, decreases attractiveness of ISL in comparison with traditional methods of metal mining. Well-known and new promising methods of the leaching process intensification for increasing the rate of metal extraction into solution were described. As illustrated by the North Caucasian deposits of the Sadon group, the expediency of ISL use for extracting the residual reserves, which would not be extracted by the traditional methods, was shown. The role of Professor I.A. Ostroushko in development and implementation of methods for extracting metals remained in the mined-out space of mines, in particular, by extracting metals from the Sadon deposits wastewater. Information on the current state of ISL application was given. The conclusion was made about insufficient use of this promising method in mining in some regions. For the first time, the details of the ISL general concept were clarified: the feasibility of ISL use not only in favorable conditions, but also at non-continuous geology and mineralization; ISL applicability for not only substandard ores (non-extractable by traditional mining methods), but also for balance reserves; ISL (block leaching) was proposed as an alternative to traditional mining methods in specific conditions, for example, at the North Caucasian complex ore deposits.

New Сlassification of Ore Deposits Mining Methods

2017 ◽  
Vol 25 ◽  
pp. 71-79 ◽  
Author(s):  
Maksym Kononenko ◽  
Oleh Khomenko ◽  
Denys Astafiev
Keyword(s):  
Ore Deposits ◽  
Mining Method ◽  
New Classification ◽  
Advantages And Disadvantages ◽  
Mining Conditions ◽  
Mining Methods ◽  
The Way

The analysis of advantages and disadvantages of the existing classifications of mining method by the way of stoping space supporting in the course of extraction of ores is executed. The new classification of mining methods of ore deposits allowing to capture all range of the applied variants of systems for different mining-and-geological and mining conditions is developed. It is possible to formulate names of mining methods on proposed which allows to present a complex of the productions which are carried out during mining of production blocks.

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