Formation of an information base for automated control of the well drilling process
DOI:
https://doi.org/10.33216/1998-7927-2025-293-7-46-55Keywords:
drilling, well, control, automation, characteristics, electromagnetic converterAbstract
A method of information support for automated control of the process of drilling wells in iron-bearing rocks based on electromagnetic eddy current conversion of sensing signals is proposed. When modeling the dependence of the eddy current sensor parameters on the characteristics of the medium under study, we used its transformer model in the form of two coils with air cores located at a certain distance above each other. The transformer model of the eddy current sensor adequately reflects the processes that occur in it when the electrical conductivity and magnetic permeability of the sample under study change. The primary circuit of the transformer model represents the measuring coil of the sensor. The test medium forms the secondary circuit of the transformer model. The impedance of the measuring coil depends on the physical, chemical, and textural properties of the medium under test, as well as on the operating frequency of the sensor current source. The real part of the impedance is determined by the resistance of the circuit in which eddy currents flow. The sensor impedance and the spectral characteristic of the measured signal can be used to evaluate the characteristics of the medium under study. The experimental platform and combined electromagnetic transducer were used to test the approach. The combined probe is placed above the medium in which the ultrasonic signal and eddy current signal are simultaneously excited and received. Modeling of the parameters of the combined probe allowed us to determine and formalize the relationship between the parameters of the measuring coil of the probe and the characteristics of the medium under study. The analysis has shown that the use of eddy-current transformation parameters in combination with ultrasonic measurements improves the results of recognizing the main mineralogical and technological types of iron-bearing ores of the operated deposit. The obtained results make it possible to increase the efficiency of automated control of the well drilling process in the extraction of iron ores using information on the physical and mechanical characteristics and geological structure of the drilled rock.
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