Discrete-Time MILP Formulation for the Optimal Scheduling of Maintenance Tasks on Oil and Gas Production Assets

Article

Authorship

Achkar, Victoria Gabriela ; CAFARO, VANINA GUADALUPE ; MENDEZ, CARLOS ALBERTO ; CAFARO, DIEGO CARLOS

Date

2019

Publishing House and Editing Place

AMER CHEMICAL SOC

Magazine

INDUSTRIAL & ENGINEERING CHEMICAL RESEARCH, vol. 58 (pp. 8231-8245) AMER CHEMICAL SOC

Summary Information provided by the agent in SIGEVA

In this work, we address the scheduling of general maintenance tasks on oil and gas wells and surface facilities, using a mixed integer linear programming (MILP) formulation. The problem involves multitask workorders with precedence relations, comprising both preemptive and nonpreemptive operations, using parallel heterogeneous resources. Crews with different capabilities and work shifts are accounted for. The model introduces novel ideas for expanding the scope of discrete-time formulations. W... In this work, we address the scheduling of general maintenance tasks on oil and gas wells and surface facilities, using a mixed integer linear programming (MILP) formulation. The problem involves multitask workorders with precedence relations, comprising both preemptive and nonpreemptive operations, using parallel heterogeneous resources. Crews with different capabilities and work shifts are accounted for. The model introduces novel ideas for expanding the scope of discrete-time formulations. We solve a scheduling problem that includes crew traveling decisions to minimize operational costs and production losses. Different instances of real-world examples are efficiently solved in reasonable times for the industry. Results demonstrate the benefits from optimizing the maintenance schedule of oil and gas production assets and the effectiveness of the solution approach.