Title :
Research on ACO with TOPSIS Algorithm in Perforating Operation
Author :
Cuan Ying ; Wang Lifan
Author_Institution :
Sch. of Comput. Sci., Xi´an Shiyou Univ., Xian, China
Abstract :
As one of the important well completion methods in oil & gas exploitation, perforation has great influence on the productivity of oil and gas wells. It involves a variety of parameters and different combinations, which affects the perforating efficiency. In order to obtain an ideal perforating effect, the perforation parameters need to be optimized. Thus, based on the optimized combination of ACO and TOPSIS, an optimum model of perforation scheme is designed in this paper. The applicability and effectiveness of the new model is proved by the simulation experimental results and it provides a scientific guidance for the perforating operation aiming to raise the productivity of oil and gas wells.
Keywords :
ant colony optimisation; decision theory; gas industry; petroleum industry; well logging; ACO; TOPSIS algorithm; oil and gas exploitation; oil and gas well productivity; perforating efficiency; perforation parameter optimization; well completion methods; Algorithm design and analysis; Decision making; Educational institutions; Optimization; Petroleum; Productivity; Sequential analysis; ACO; Optimization techniques; Perforating operation; TOPSIS;
Conference_Titel :
Intelligent Systems Design and Engineering Applications (ISDEA), 2014 Fifth International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-1-4799-4262-6
DOI :
10.1109/ISDEA.2014.177