A complement optimization scheme to establish the digital core model based on the simulated annealing method

The purpose of this work is to overcome the disadvantages of low efficiency and much isolated points in building the digital core model by the traditional simulated annealing methods. We design the subsequent search scheme, defines the criterion to select the boundary point of pore and the matrix, and proposes the generation solutions of the new system by exchanging the isolated pore points and boundary points of pore and matrix based:on the majority operator method. Using traditional simulated annealing algorithm to optimize the random initial model as the first stage, and using the optimizing plan generated by the new system as the second stage, we can finally reduce the isolated points of pore or matrix in the output model. A preliminary test shows the new optimization solution is feasible and very effective. For instance the results from the final optimization model are relatively closer to the original cores compared with that from traditional simulated annealing modeling, both in pore shape and connectivity. The variation function, which characterizes the rock pore space, also demonstrates that the optimization results of the complement search scheme are superior to that of the traditional simulated annealing methods.