Modelo Multicritério baseado em cadeia de Markov e método de arrependimento aplicado em descomissionamento de óleo e gás

Abstract

When oil and gas fields mature and cease their, the installed facilities need to be dismantled and deactivated in a responsible manner, with a view to recuperate the original natural conditions of local with minimum impact. The decommissioning of the subsea oil and gas system is still a relatively new field and the choice of an adequate option for the decommissioning of a given installation is not simple. It must consider social, environmental, technical, safety and economic aspects, which are often conflicting Therefore, multicriteria analysis has been used to support the selection of a decommissioning alternative. In this paper, Markov chains are used as a tool to help select an adequate decommissioning alternative in conjunction with a regret function. The methodology was applied in three numerical experiments in the Brent fields in the North Sea and Cação fields in Brazil.