Chaos_simulation Algorithm For Application Of Parameter Inverse Of Reservoir

The seismic data can be applied to reservoir decription and rock property interpretation more than to geological construct interpretation in the stage of exploration and development. However, the conventional seismic data can not directly be applied to reservoir description and be required seismic inversion as it can be only represent the reflection of the relation of rock property underground.In recent years, nonlinear seismic inverse has made an encouraging improvement in both the theory and the application. Nonlinear inverse of chaos optimization is important part of seismic nonlinear inverse. But the problems of seismic inverse generally have the characters of nonlinear, strong-constraint, random, large scale etc. Because of the limitation of unitary algorithm, more and more difficulties that can not be solved come forth in solving optimal problems of practical inverse. For example, optimal parameters get into local infinitesimal easily, optimal time is too long and optimal effect can not reach the predicable parameters. So a hybrid optimal algorithm is introduced based on simulated annealing algorithm and chaos optimization in the dissertation. The hybrid optimal algorithm can not only conquer the slow convergence rate of simulated annealing algorithm, but also has the travelsal character of chaos optimization algorithm and the global-convergence of simulated annealing algorithm.