Abstract：The paper puts the demand of structural change in space and reserve determined by dynamic data together as a constrain,and creates the objective function including two constrained conditions, and uses simulated annealing algorithm to predict the spreading of porosity in space. In the process of realization, the efficiency of operation is improved as results of giving the initial controlling parameters and modifying the objective function. Since the objective function effectively integrated the static and dynamic information, the uncertainty of simulated results is greatly reduced and simulated precision is improved. The simulated test results of both synthetic data and real data show that usingconstrain of integrated regional characters improves not only the simulated precision of porosity, but also characters of rapid conversion of algorithm and high stability.
