There are problems such as efficient match of multiples, influence of other noise and geometry when the virtual events method is used in real data. By studying on model data, an efficient matching method based on high-order and high-resolution Radon transform was presented, which had advantages in matching time and effect. There are also some quantitative analyses and parametric optimization on filter matrix and length of time window of the traditional matching methods. The authors made some quantitative analyses on the anti-noise capacity of virtual events method and discussed its range of application. The results have some referential meaning when the method is used in real data.