Computers and Operations Research
A tabu search heuristic for the heterogenous fleet vehicle routing problem
Computers and Operations Research
A simple and robust Simulated Annealing algorithm for scheduling workover rigs on onshore oil fields
Computers and Industrial Engineering
Planning and scheduling a fleet of rigs using simulation-optimization
Computers and Industrial Engineering
The offshore resources scheduling problem: detailing a constraint programming approach
CP'12 Proceedings of the 18th international conference on Principles and Practice of Constraint Programming
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Many oil wells in Brazilian onshore fields rely on artificial lift methods. Maintenance services such as cleaning, reinstatement, stimulation and others are essential to these wells. These services are performed by workover rigs, which are available on a limited number with respect to the number of wells demanding service. The decision of which workover rig should be sent to perform some maintenance service is based on factors such as the well production, the current location of the workover rig in relation to the demanding well, and the type of service to be performed. The problem of scheduling workover rigs consists in finding the best schedule for the available workover rigs, so as to minimize the production loss associated with the wells awaiting for service. We propose a variable neighborhood search (VNS) heuristic for this problem. Computational results on real-life problems are reported and their economic impacts are evaluated.