Identification of a Box-Jenkins model for rotary drilling laboratory prototype

Majeed, Fesmi Abdul; Karki, Hamad; Karkoub, Mansour; Magid, Y. Abdel

doi:10.1504/ijmic.2012.051082

Cited by 4 publications

(1 citation statement)

References 16 publications

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“…Mecnica, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brasil e-mail: tritto@mecanica.ufrj.br maximum likelihood principle with statistical reduction. In Majeed et al [11] a black-box identificaton (Box-Jenkins) was done for rotary drilling laboratory prototype. Ba et al [12] proposed a methodology for drilling processes monitoring by identifying time varying parameters, where a simple linear system was considered in the identification process.…”

Section: T G Ritto (And)mentioning

confidence: 99%

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

Ritto

2014

J Braz. Soc. Mech. Sci. Eng.

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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.

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Section: T G Ritto (And)mentioning

confidence: 99%