Abstract

The article is devoted to research of the features of roller-bit drilling process control under incomplete information caused by random variation of the drilled rocks properties. It is proposed to optimize control model of the roller-bit drilling process parameters that uses the correction values of axial force and rotational speed of drill bit. The optimization method of operating parameters of roller-bit drilling process is developed and based on the correcting values of axial force and bit rotational speed depending on the technical characteristics of the drilling unit and physic and mechanical rocks properties. The proposed method allows determining the maximum headway per drill bit, drilling speed and its ratio corresponding to the optimum efficiency of the roller-bit drilling process, required for adaptive control of process parameters. The structure of intelligent automated control system of roller-bit drilling process with an adaptive element is developed and this system can adjust and maintain the values of operating parameters correspondingly actual rocks properties for effective process control.

Highlights

  • Optimization problems, regulation of the roller drilling process parameters and accounting for uncontrolled factors are often associated with information uncertainty [1]

  • The current state of research in the area shows that the influences of many regime parameters and uncontrolled factors on the technological process are not taken into account

  • The task is to find the extremum of the efficiency function, which allows determining the optimal values of the parameters of the studied process under incomplete information about the rock properties' change Provided that the input control actions for the drilling machine are corrected values of the Pax.cor и nrot.cor [1], the multidimensional function will be as follows: y = f (Pax.cor, nrot.cor ) = max, where Рax.cor, is the corrected value of axial force, Р ax.cor = Рax + ΔРax; nrot..cor, is the corrected value of frequency of rotation, nrot..cor=nrot+Δnrot

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Summary

Introduction

Optimization problems, regulation of the roller drilling process parameters and accounting for uncontrolled factors are often associated with information uncertainty [1]. This problem is especially acute during drilling wells for various applications, when it is not possible to foresee in advance a change in the structure and strength of rocks. To study the influence of operational parameters on the drilling process and determine the most significant controlled factors, foreign authors suggest using the analysis-of-variance method, neural network methods [2], and algorithms for the drilling rate optimization [3]. In order to avoid frequent failure of the drilling bit, operate with non-critical values of the regime parameters that provide significantly underestimated performance. Optimization of the roller drilling process is possible only if there is a mathematical model based on a united universal criterion [9]

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