Modeling of a drill string motion under seismic impact

Authors

DOI:

https://doi.org/10.26577/JMMCS2024-v123-i3-11
        108 76

Keywords:

drill string, dynamics, nonlinearity, vibrations, seismic load

Abstract

The article studies nonlinear dynamics of drill strings in a seismically active environment. The influence of seismic waves on the vibrations of drill strings for shallow drilling is considered. Deformations of drill strings are assumed to be finite. Based on the Ostrogradsky-Hamilton variational principle and the laws of soil motion, a nonlinear mathematical model of spatial deformation of drill strings is constructed. A numerical analysis of the model is performed using the Wolfram Mathematica symbolic computing package. Qualitative and quantitative changes in the dynamics of drill strings are observed, manifested in the form of beats due to the influence of seismic waves.

Author Biographies

L.A. Khajiyeva, Al-Farabi Kazakh National University, Kazakhstan, Almaty

Lelya Khajiyeva (corresponding author)– Doctor of Physical and Mathematical Sciences, Professor of the Department of Mathematical and Computer Modeling at the Mechanics and Mathematics Faculty of Al-Farabi Kazakh National University (Almaty, Kazakhstan, email: khadle@mail.ru)

A.T. Gaisin, Al-Farabi Kazakh National University, Kazakhstan, Almaty

Amir Gaisin– PhD Student of the Department of Mathematical and Computer Modeling at the Mechanics and Mathematics Faculty of Al-Farabi Kazakh National University (Almaty, Kazakhstan, email: amirgaisin145@gmail.com)

R.F. Sabirova, Al-Farabi Kazakh National University, Kazakhstan, Almaty

Roza Sabirova– Master of Engineering Sciences, Senior Lecturer of the Department of Mathematical and Computer Modeling at the Mechanics and Mathematics Faculty of Al-Farabi Kazakh National University (Almaty, Kazakhstan, email: roza.f.sabirova@gmail.com)

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How to Cite

Khajiyeva, . L. ., Gaisin, A., & Sabirova, R. . (2024). Modeling of a drill string motion under seismic impact. Journal of Mathematics, Mechanics and Computer Science, 123(3), 135–146. https://doi.org/10.26577/JMMCS2024-v123-i3-11