FUZZY OPTIMIZATION PROCESS OF DEEPENING DEEP WELLS

Authors

  • M. I. Horbiychuk National Technical University of Oil and Gas, Ivano- Frankivsk, Ukraine, Ukraine
  • T. V. Gumenyuk National Technical University of Oil and Gas, Ivano- Frankivsk, Ukraine, Ukraine

DOI:

https://doi.org/10.15588/1607-3274-2015-3-2

Keywords:

drilling, optimality criterion, cost, boring, control, membership function, genetic algorithm.

Abstract

In the process of drilling deep wells for oil and gas it is important to make the correct choice of management influences – axial load on the bore bit and rotation frequency to obtain minimum cost of boring. Solving this problem involves the creation of an adequate mathematical model of the process of deepening wells and development of the methods for the identification of its parameters. The complexity of the problem is that the mechanical drilling process is stochastic, transient and is developing over time. This greatly complicates the determination of traditional methods of identification of a number of parameters that affect the process of the rock breaking. These parameters include the duration of descent-lifting operations, the values of which are affected not only by technological, technical, but also by subjective factors. For adequate reproduction of descent-lifting operations duration values uncertainty, they we proposed to consider them as fuzzy variables with certain membership functions. According to this premise, there was formulated the problem of fuzzy optimization of the deepening wells process and developed a method to solve it. The effectiveness of this method was confirmed on specific industrial data.

References

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Published

2015-04-06

How to Cite

Horbiychuk, M. I., & Gumenyuk, T. V. (2015). FUZZY OPTIMIZATION PROCESS OF DEEPENING DEEP WELLS. Radio Electronics, Computer Science, Control, (3). https://doi.org/10.15588/1607-3274-2015-3-2

Issue

No. 3 (2015): Radio Electronics, Computer Science, Control

Section

Mathematical and computer modelling

License

Copyright (c) 2015 M. I. Horbiychuk, T. V. Gumenyuk

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