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

作　　者：爨莹[1] 王李凡 

机构地区：[1]西安石油大学计算机学院,西安710065

出　　处：《科学技术与工程》2013年第25期7302-7306,共5页Science Technology and Engineering

基　　金：国家自然科学基金(50704026)资助

摘　　要：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.

关 键 词：多目标粒子群算法TOPSIS 射孔 射孔方案选择 

分 类 号：TE257.1[石油与天然气工程—油气井工程] N945.16[自然科学总论—系统科学]