Oilfield Water Flooded Layer Identification Method Based on Quantum Ant Colony Optimization
YANG Shuxin
LI Panchi
Abstract：To enhance the efficiency and accuracy of water flooded layer recognition ,a quantum ant colony optimization‐based identification method is proposed in this paper .First ,a Bloch sphere‐based quantum ant colony optimization algorithm is proposed ,and then ,the nonlinear regression model is derived from the sample data .Finally ,the parameters of model are optimized by quantum ant colony algorithm .The proposed method is simple ,intuitive ,and with clear physical concept .Tak‐ing actual water flooded layer data of Daqing oil field as example ,the simulation results show that the correct recognition rate of this method is 25 percent higher than BP neural network .
Keywords：quantum ant colony optimizationnonlinear regressionwater flooded layer identification
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 173-177,182 )