Design Approach About The Pipe-net Of Oilfield-flooding System Based On Improve Ant Colony Algorithm

Water flooding network is a very complicate network system ,and water flooding the network design is a very difficult problem,it not only need very much work many factors to be considered,but also the design will play the very important role in saving the construction costs .Water flooding network system is a very complicate network and water flooding network design is a very difficult problem .It not only need very much work to be done ,but also the design will play important role in saving the construction costs, the basic ant colony algorithm will be advanced by combinatorial optimization methods.In this paper anvanced ant colony algorithm put some pheromone in the place that was calculated by combinatorial optimization methods,and it wiil make the algorithm trap into local optimum ,in the sametime ,control the density of Pheromone,in order to make the ants find out more solutions and I will introduce how to calculate the value of the pipe in the network and the shape of the network ,from for the tree network to establish the overall water injection optimization is very complex,so I devide the problem into two parts,one is water flooding station to water share station ,another part is water share station to water flooding well :the part of water share station to water flooding well is mainly to certain the number of water share station ,that was mainly based on the distance of water share station to water flooding wells is shortest,and in this paper choose advanced ant colony algothrim to divide the water flooding wells into groups ,and certain the relationship of water share station and water flooding,the relationship of water flooding station and water share station is based on the shape of the network has been determined,after certain the relationship of the water flooding network ,and I will certain the best position of some points of this network ,and certain the best position of water flooding station and water share station by the construction costs is most min.At last ,compare the result that was calculated by advanced ant colony algorithm and the result of the original water flooding network,which proved that advanced ant colony algorithm is a good performance to find the optimal solution,time saving, few parameters and high accuracy In solving large and complex network issues...