Abstract：The grid-search method is simple,fast and can quickly determine a rough solution.But it is difficult to confirm the real solution due to the impact of first arrivals,velocity model and so on.The genetic algorithm adapts to first arrival completely and has strong global search ability.The search process can be complex,time-consuming and the accuracy of solution will be reduced greatly if search domain is set arbitrarily.Taking the advantages of these two methods,we put forward the grid-search and genetic algorithm joint inversion under solution-domain constraints for microseismic events.We discuss the forward modeling,the first arrival sensitivity and perforation information closely related to the inversion calculation.Applications of this method in both synthetic datasets and real datasets prove that the accuracy,the efficiency and the stability are obviously improved by the joint inversion method than the search inversion or the genetic algorithm inversion only.
宋维琪, 杨晓东. 解域约束下的微地震事件网格搜索法、遗传算法联合反演[J]. 石油地球物理勘探, 2011, 46(2): 259-266.
SONG Wei-qi, YANG Xiao-dong. A joint inversion combining the grid-search algorithm and the genetic algorithm under solution-domain constraints for microseismic events. OGP, 2011, 46(2): 259-266.