基于多目标粒子群算法与TOPSIS的射孔方案优选研究

Selection of Perforation Plan Based on MOPSO and TOPSIS Decision Making

射孔完井是油气井的主要完井方式之一,在世界范围内得到了广泛的应用。它涉及孔径、孔密、相位、孔深、压实伤害等多种参数。不同的射孔参数对射孔效益有不同的影响,为了能够获得理想的射孔效果,需要对射孔参数进行优化设计。为此,利用多目标粒子群算法(MOPSO),结合TOPSIS算法对射孔参数进行优化,建立一种射孔方案的优选模型。仿真实验表明该优选模型的有效性,为科学地进行射孔设计、提高油气井产能提供了依据。

Perforation is one of major oil and gas well completion methods. It involves productivity ratio, perfo- ration phase angle, perforation diameter, penetration and etc. Different perforation parameters have different influ- ences on oil-well productivity, in order to obtain ideal perforating effect, the perforation parameter need to be opti- mized. Perforation scheme muh-attribute decision-making model based on MOPSO and TOPSIS is created, it aims to provide a scientific guidance for the perforation. The simulation experimental results show that new models are ef- fective, which offer one kind of science decision-making foundation for petroleum Perforation.