2010
DOI: 10.1590/s1678-58782010000300008
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Stochastic dynamics of a drill-string with uncertain weight-on-hook

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Cited by 15 publications
(10 citation statements)
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References 19 publications
(19 reference statements)
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“…An appropriate probabilistic model for each random variable, denoted as X, is constructed accounting for the available information only, which is the following: (1) the support of the probability density function is ]0, +∞[; (2) the mean values are such that E[X] =X; and (3) zero is a repulsive value for the positive-valued random variables, which is accounted for by the condition E[ln(X)] = c X with |c X | < +∞. The Maximum Entropy Principle yields a Gamma probability density function for each stochastic variable X (Jaynes, 1957;Kapur, 1993;Soize, 2001;Ritto et al, 2010)…”
Section: Stochastic Modeling For Uncertainty Quantificationmentioning
confidence: 99%
“…An appropriate probabilistic model for each random variable, denoted as X, is constructed accounting for the available information only, which is the following: (1) the support of the probability density function is ]0, +∞[; (2) the mean values are such that E[X] =X; and (3) zero is a repulsive value for the positive-valued random variables, which is accounted for by the condition E[ln(X)] = c X with |c X | < +∞. The Maximum Entropy Principle yields a Gamma probability density function for each stochastic variable X (Jaynes, 1957;Kapur, 1993;Soize, 2001;Ritto et al, 2010)…”
Section: Stochastic Modeling For Uncertainty Quantificationmentioning
confidence: 99%
“…The authors' focus was placed on the bitrock interaction and the drilling fluid effect on dynamics. In some other papers, [20,21] also studied the uncertainties in the weight-on-hook.…”
Section: Introductionmentioning
confidence: 99%
“…There are few articles concerned with uncertainty quantification and stochastic analysis of the drill-string dynamics; in particular, we may cite [3][4][5][6][7][8]. Spanos et al [3] analyzed stochastic lateral forces at the bit.…”
Section: Introductionmentioning
confidence: 99%
“…Later, they proposed a robust optimization problem to maximize the rate of penetration of the system without damaging it [7]. Finally, they analyzed a random weight-on-hook [8].…”
Section: Introductionmentioning
confidence: 99%