In the scientific work, a study of the control of the dynamics of the DS by developing a system for controlling bit slippage during the drilling process is given. Experiments have shown that the moment of friction forces as a function is nonlinear, which is further considered in the work of Spanos. The work of Simonyants contains a description of the function of the angular velocity, the parameters of the coordinates of the length, and attenuation of the waves, characterizing the process of friction and destruction of the rock by the bit. Since cone bits have a crushing–shearing effect on the rock, mathematical models will be different compared to drilling with a PDC bit-a cutting-attrition action that is widespread at the present time. In the works of Woods and Yigit a study of the selection of the optimal parameters of rate of penetration (ROP) and weight on the bit (WOB) on the cone-type bit is given. In the study of Baldenko, the development of technical solutions is discussed, in particular, small-sized sectional HDMs and drilling of ultra-small-diameter channels, as well as the methodology for choosing the configuration of the HDM sections, which are different from serial ones by means of hydraulic calculations. The effectiveness of the developed mathematical model and algorithms was confirmed by testing well drilling data. Several well drilling datasets from the North Sea were analyzed. The developed mathematical and predictive model helps to identify the presence of ineffective rock destruction and adjust drilling regime accordingly.
This excessive energy was quantitively determined and expressed as an adjusting coefficient for optimal weight on bit. Based on the theory provided, it is assumed that the given shock impulse is an actual representation of an excessive energy, conveyed to BHA. An algorithm was set for evaluation and estimation of effective destruction of rock by comparing petrophysical data in the well section and predicting the shock impulse of the bit. Based on fourth strength theory and the Palmgren–Miner fatigue stress theory, the mathematical model for prediction of effective distribution of mechanical specific energy, using machine learning methods while drilling, was developed. Studies of the petrophysical and geomechanical properties of rock samples were carried out. This article is devoted to the development of technology for improving the efficiency of directional well drilling by predicting and adjusting the system of static and dynamic components of the actual weight on the bit, based on the real-time data interpretation from telemetry sensors of the bottom hole assembly (BHA).
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