Potential for increasing the efficiency of design processes for mining the solid mineral deposits based on digitalization and advanced analytics

Abstract

Purpose. The research purpose is to develop and adapt the existing scientific-methodological, as well as software and information base for managing the geotechnological complexes to implement the process approach at the level of design and operation of mining-and-transport complexes during opencast mining. The development is associated with the coverage of more and more relevant options for excavating-conveying, as well as excavating-automobile-conveying mining-and-transport systems used in quarries. Methods. The methodology for managing the geotechnological complexes involves an adequate step-by-step accounting and appropriate operational regulation of all the main factors in specific mining-engineering, mining-geometrical, mining-and-geological, economic and organizational conditions. The method of simulation logical-statistical modelling of mining-and-transport processes is used as the main method. Findings. The results indicate that simplified analytical approaches and inadequately considered factors that have a significant impact on the efficiency of mining operations lead to significant errors (10-20% or more) that determine the real practical profitability of the mineral deposits development. Originality. Scientific novelty is an integrated approach to a single research object, which is a geotechnological complex, a unique simulation logical-statistical modelling of mining-and-transport processes, the economics of process management, as well as integrated and corporate process management. Practical implications. The obtained results of an integrated technical and technological audit of a project for mining the coal deposit, with sufficient accuracy for practical application, will ensure the methodological base development for the designing, planning and management of mining and mining-transport operations, as well as an increase in the efficiency of scientific and scientific-practical research in this direction when solving the practical tasks of mining sector.

Ore-controlling factors as the basis for singling out the prospective areas within the Syrymbet rare-metal deposit, Northern Kazakhstan

“…The mineralization is not outlined to the depth; maximum depth of its intersection within the central part of the deposit (profile No. 71) is 578 m [14], [15].…”

“…As for the geomechanical data, here a southern-eastern stripe of the geochemical anomaly, associated with the dome share of granite porphyres, passes [14], [15].…”

“…A problem of forecasting the prospective areas for identification of new ore deposits or sites within the known deposits is in the determination of the ore-controlling factors of ore localization and predictive criteria, respectively [4]- [6]. At the modern stage of geology development, optimal system of the forecast criteria can be based on the results of studies carried out by means of up-to-date innovative methods (GIStechnology) [7], [8]where stable connections are identified best of all in the spatial location of mineralization in the geological structural complexes with their definite matter types as well as features of composition and structure [9]- [14].…”

Iron ore underground mining under the internal overburden dump at the PJSC “Northern GZK”

“…Experience shows that in most cases it is most efficient from the engineering and organizational points of view to drive horizontal and inclined transport transportation workings from the open pit side [47][48][49]. When determining the parameters of OT and OUT, the methods used for OPMO are applied [2][3][4] and technological features of determining parameters of mining operations in combined mining are also considered [53][54][55].…”

The mining and geometrical methodology for estimating of mineral deposits

“…Geometrization is the methodological basis of subsoil geometry. The complex of geometrization methods consists of collecting and completing the source information obtained during exploration, surveying, testing, geophysical and special research [31][32][33]; systematization, pre-processing and evaluation of the accuracy of information using variation statistics, the theory of random functions, finite differences; mathematical and geometric modeling and evaluation of model accuracy; using the model to solve problems of exploration and industrial development [34][35][36], as well as determining the geological and genetic composition of the deposit [37][38][39][40].…”