Optimization Methods In Oilfield Water Injection Pump System Based On Interval Optimized Algorithm

Optimization methods in oilfield water injection is part of the Simulation technologyfocus on Oilfield Engineering optimization.Based on computer Simulation technology, thisthesis build an oilfield water injection model,which makes oilfield water injection into a0-1problem and a mixed nonlinear optimization problem. Former oilfield water injectionoptimization algorithm, which are unable to achieve effective result,stays on artificialexperience design stage.The biggest concern is how to solve the problem with modernintelligence method.This thesis comes up with four optimization methods which are thecomplex optimization, interval optimization, interval particle swarm optimization and intervalgenetic algorithm optimization. On the premise of high and stable yield in oil supply value theimportance of reducing production costs.This thesis use four methods to solve the model inorder to validate the algorithm.This thesis mainly accomplished the following three aspect:1. build up an oilfield water injection system model. Under the assumption that theservice of the system is an set number, the status of the uncovered water injection pump andworking parameters dramatically reduced the system power. In the thesis, objective functionis considered to be the system power. Under the assumption that the service of the system isan set number, build up an oilfield water injection system model.2. this thesis brings up four optimization methods, complex algorithm, interval algorithm,interval particle swarm and interval genetic algorithm. This thesis briefly introduced the fouralgorithm and make some improvements according to the real situation. The initial value isselected several times, point to the situation that complex algorithm is inclined to get into thelocal optimal situation. At the same time, the requirements of the end of the iteration isrelatively strict in the aim of assuring the accuracy. The interval algorithm uses the applicationand improvement of the ant colony algorithm and particle swarm optimization algorithm.3.Select the proper parameters on the basis of the characteristics of optimization methodsin oilfield water injection system and use double fitness value method which effectivelysolved constraint conditions in the model, finally lead to the realization of the fouroptimization methods in oilfield water injection system. This thesis validated the effectivenessof the four optimization methods by calculating a particular oil extraction factory.