Microseismic locating method is an important part of microseismic monitoring technology

the key of which is to locate the hypocenter. We analyze the two-dimensional and three-dimensional spatial distributions of microseismic locating objective functions by using spatial gridding and calculating the objective function values of grid intersections. Accordingly

we find that the objective function is continuous and the minimum value is unique

the convergence range of single axis decreases gradually

and the convergence range of each axis varies. Using the above findings and the advantages and disadvantages of pattern search method and grid search method

we propose the variable step size accelerated search method based on continuous comparison module

the variable step size module and the acceleration module. Through the comparison of four indexes between the simulation example and the engineering data: the convergence stability

the accuracy of the results

the speed of calculation and the degree of influence of initial values of parameters

we get the results that: in the simulation example

compared with that of simulated annealing algorithm and genetic algorithm

standard deviations of objective function value

locating error and wave velocity error of the variable step size accelerated search method are all 0; the average locating error of the variable step size accelerated search method is 0.7% and 1.9% of that of other two algorithm

respectively; the average calculation time of this algorithm is 6.9% and 33.2% of that of the other two algorithm

respectively. The influence of the algorithm changing each parameter individually on the locating error is between 0.005 m and 0.025 m; reducing the lower limit of the step size for search can effectively improve the accuracy of the results but increase calculation time. When the initial arrival time

objective function model and coordinates of the geophone position are specified

the search algorithm has no substantial impact on the locating accuracy.