Research on layout optimization of drilling rig system of semi-submersibleplatform based on modified particle swarm optimization

Key words:  offshore drilling rig  layout optimization  particle swarm optimization  multi-objective optimization algorithm  mono-objective optimization algorithm

Abstract:

In order to enhance the efficiency of offshore drilling rig and the space utilization of offshore platform, a modified particle swarm optimization (PSO) was applied to the layout optimization of offshore drilling rig system. A mathematical model was established for the layout optimization of offshore drilling rig system, and the mathematical model was directly solved by multi-objective particle swarm optimization (MOPSO). Then the problem of multi-objective optimization was converted into a mono-objective one by linear weighting method. Aiming at the defects of the mono-objective particle swarm optimization, several improvement measures based on interference constraints, inertia weight, the selection and crossover operator of genetic algorithm (GA) were carried out in this paper. Then testing experiments for the above-mentioned improved algorithms were conducted. The test results show that a better solving speed and accuracy can be obtained by taking the constraint condition as the objective function and adopting the hybrid thought of GA in the layout design. A modified PSO with dynamic inertia weight and crossover operator was proposed in this paper, which has a better solving performance. The obtained layout scheme satisfies the requirements of the marine drilling operation and takes up the less deck area.