Title :
Hybrid adaptive memory programming using GRASP and path relinking for the scheduling workover rigs for onshore oil production
Author :
de Aragao Trindade, V. ; Ochi, Luiz Satoru
Author_Institution :
Instituto de Computacao, Univ. Fed. Fluminense, Rio de Janeiro, Brazil
Abstract :
There are many oil wells in onshore fields that need artificial lift methods in Brazil. These wells periodically need some maintenance services that are performed by workover rigs, available on a limited number. The problem consists in optimizing the workover rigs schedule by minimizing the production loss associated with the yield of the wells that are waiting for service. We propose a hybrid GRASP algorithm to solve this problem. Experimental results illustrate the effectiveness of the hybrid version in terms of quality solution.
Keywords :
greedy algorithms; oil technology; randomised algorithms; scheduling; search problems; adaptive algorithm; artificial lift methods; hybrid GRASP algorithm; hybrid adaptive memory programming; hybrid metaheuristic; intelligent heuristic; maintenance services; oil wells; onshore oil production; path relinking; production loss minimization; workover rig scheduling; Adaptive algorithm; Costs; Equipment failure; Heuristic algorithms; Iterative algorithms; NP-hard problem; Petroleum; Processor scheduling; Production; Proposals; adaptive algorithm.; hybrid Metaheuristic; intelligent heuristic;
Conference_Titel :
Hybrid Intelligent Systems, 2005. HIS '05. Fifth International Conference on
Print_ISBN :
0-7695-2457-5
DOI :
10.1109/ICHIS.2005.56