Bayesian approach to identify the bit-rock interaction parameters of a drill-string dynamical model

被引：20

作者：

Ritto, Thiago G. ^{[1
]}

机构：

[1] Univ Fed Rio de Janeiro, Dept Engn Mecn, Rio De Janeiro, Brazil

来源：

JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING | 2015年 / 37卷 / 04期

关键词：

Drill-string dynamics; Bit-rock identification; Bayesian inference; Metropolis Hasting (MCMC); IDENTIFICATION; UNCERTAINTY; DRILLSTRINGS; SYSTEMS;

D O I：

10.1007/s40430-014-0234-z

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

A drill string is a slender structure used to search for oil and gas. Many works have tackled the problem of modeling the drill-string dynamics in a vertical well. One important aspect in this dynamics is the bit-rock interaction, and, therefore, an identification of the parameters of the bit-rock interaction model becomes crucial. Few works related to this identification problem have been published. The present paper applies the Bayesian approach to identify the parameters of the bit-rock interaction model considering a simplified drill-string dynamical model which takes into account only torsional vibrations. It is assumed an additive Gaussian noise model, and the Metropolis-Hasting algorithm is used to approximate the posterior distribution of the variables analyzed.

引用

页码：1173 / 1182

页数：10