Prediction of failure probability of oil wells

Carvalho, João B.; Valença, Dione M.; Singer, Julio M.

Prediction of failure probability of oil wells

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dc.contributor.author	Carvalho, João B.
dc.contributor.author	Valença, Dione M.
dc.contributor.author	Singer, Julio M.
dc.date.accessioned	2019-05-17T13:18:40Z
dc.date.available	2019-05-17T13:18:40Z
dc.date.issued	2014
dc.description.resumo	We consider parametric accelerated failure time models with random effects to predict the probability of possibly correlated failures occurring in oil wells. In this context, we first consider empirical Bayes predictors (EBP) based on aWeibull distribution for the failure times and on a Gaussian distribution for the random effects.We also obtain empirical best linear unbiased predictors (EBLUP) using a linear mixed model for which the form of the distribution of the random effects is not specified. We compare both approaches using data obtained from an oil-drilling company and suggest how the results may be employed in designing a preventive maintenance program.	pt_BR
dc.identifier.citation	CARVALHO, João B.; VALENÇA, Dione M.; SINGER, Julio M. Prediction of failure probability of oil wells. Brazilian Journal of Probability and Statistics , v. 28, n.2 p. 275-287, 2014. Disponível em:< https://projecteuclid.org/euclid.bjps/1396615441>. Acesso em: 06 dez. 2017.	pt_BR
dc.identifier.doi	10.1214/12-BJPS206
dc.identifier.issn	0103-0752
dc.identifier.uri	https://repositorio.ufrn.br/jspui/handle/123456789/27094
dc.language	pt_BR	pt_BR
dc.publisher	Brazilian Statistical Association	pt_BR
dc.rights	Acesso Aberto	pt_BR
dc.subject	Accelerated failure time models	pt_BR
dc.subject	Correlated data	pt_BR
dc.subject	Empirical Bayes predictors	pt_BR
dc.subject	Empirical best linear unbiased predictors	pt_BR
dc.subject	Random effects models	pt_BR
dc.title	Prediction of failure probability of oil wells	pt_BR
dc.type	article	pt_BR