Modelling the procedure for determining the characteristic features of mineralogical varieties of iron ore in the process of drilling wells
DOI:
https://doi.org/10.33216/1998-7927-2025-296-10-43-51Keywords:
drilling, model, control, automation, characteristics, electromagnetic converterAbstract
Well drilling is the most common and resource-intensive technological operation in the extraction of minerals. The economic efficiency of this operation directly depends on the quality of automated process control, which, in turn, is determined by the completeness of its information support. The main factor affecting the results of the drilling process is the correspondence of the speed of well penetration and the resulting control actions to the physical and mechanical characteristics of the rock or its mineralogical varieties. A method is proposed to improve the efficiency of the procedure for determining the characteristic features of mineralogical varieties of iron ore in the process of drilling wells based on the simulation of the conversion of a probing electromagnetic signal in the studied environment using Simscape® physical modeling blocks for Simulink®/MATLAB®. The approach used is based on the use of an electromagnetic transducer that generates a probing pulse in iron-bearing rock with certain electrical and magnetic properties. As a result, eddy currents are formed in the studied medium, which create an induced magnetic field, affecting parameters such as the voltage on the measuring coil or its impedance. The electromagnetic properties of the medium material affect the distribution of these induced eddy currents, which changes the parameters of the measuring coil compared to the reference material. During the modeling process, the parameters of the signal measured on the secondary winding of the electromagnetic transducer were determined when the characteristics of the studied medium changed. At the same time, changes in the ratio of minerals in the composition of iron ore varieties were simulated. Analysis of the results obtained shows their strong dependence on the magnetite content in the studied medium. This complicates the recognition of iron ore varieties that include other weakly magnetic minerals with low electrical conductivity. To obtain satisfactory results from this procedure, it is necessary to include additional characteristic features of the physical properties of the object being recognized, which primarily include the parameters of the propagation of ultrasonic waves formed during the formation of an electromagnetic pulse in ferromagnetic rock.
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