Purposeis development of the methods to predict indices of iron-ore deposits relying upon the improvement of available techniques as well as formulation of new geometrization procedures and identification of the most adequate decision-making way to assess geological data as the basis for geometrization and prediction. Methods are to develop a self-organizing prediction algorithm based upon combination of the available techniques and formulation of new mathematical methods; consider various means to assess them in the context of iron-ore deposit; and select the most efficient one. Use of geostatistical methods makes it possible to evaluate and process output geological information. The methods help assess mineral reserves of a mining enterprise. Findings. Dependencies of magnetite ore content upon geological factors have been derived in the context of an open pit of PIVDGZK JSC. The deposit has been geometrized; predictive mining and geometric model of the deposit site has been deve-loped. Factors have been determined influencing the distribution nature of the indices. Graphs to arrange grade indices of the deposit have been constructed. The graphs have helped predict their placement within the deposit. Originality. A method to predict mining and geological indices of iron-ore deposit has been developed relaying upon a self-organizing algorithm. Correlation between grade indices of minerals and different geological factors has been determined making it possible to describe spatial distribution of grade indices of the deposit. Practical implications. Geometrization methods for iron-ore deposits have been formulated. The methods help schedule mining operations accurately while improving their efficiency. The developed predictive self-organizing algorithm is the flexible tool used for various mining and geological conditions to provide scheduling and assessing of different mining methods. The self-organizing as well as geostatic evaluation techniques is quite a promising research tendency.
The multi-authored monograph Prospects for developing resource-saving technologies in mineral mining and processing is brought to your attention. Problems of environmental management have always been important for humanity. Yet, they have acquired the greatest relevance in recent years as human economic activity have greatly affected the natural environment. There is a need to develop scientific principles of environmental management based on the principles of sustainable use of natural resources via resource-saving technologies and optimal placement of production facilities. The monograph considers application of resource-saving technologies to mining mineral deposits. The authors apply a comprehensive approach to solving this problem by analyzing the entire range of works related to mining and processing of minerals. The monograph examines resource-saving technologies in open pit and underground mining of ore and non-metallic minerals. The monograph is intended for a wide audience of mining scientists, practitioners, postgraduates and students.
We are happy to present the multi-authored monograph “Key trends of integrated innovation-driven scientific and technological development of mining regions”. The monograph presents findings of research into elaboration of conceptual foundations of the strategy of innovation-driven scientific and technological development of mining regions based on a system approach to using their integrated resource. Mining enterprises aim to increase the use of potential resources of deposits. In this regard, they need a strategy for mining specific types of mineral resources in various mining regions. The monograph considers findings of research into the integrated mining of mineral deposits: from geological assessment to extraction and processing of minerals. The state and prospects for using technical, environmental and energy resources of regions are analyzed as well. The monograph is intended for a wide range of scientists, specialists involved in analyzing development of mining complexes in regions, as well as master’s and doctoral students of relevant specialties of higher educational institutions.
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