Intelligent optimization technology for parameters of multi-branch horizontal well

Parameter optimization design for multi-branch horizontal well is an issue of multi-objective optimization. The complexity of optimization method solution using traditional method depends on the number of optimized objects, and local convergence may occur easily. Based on reservoir numerical simulation technique for multi-branch horizontal well and taking the net present value of production as the objective function, the intelligent optimization design method for parameters of multi-branch horizontal well was established using genetic algorithm and the whole-course automaton of optimization design was achieved by programming. During optimizing, the orthogonal design principle was used to generate the initial value of the population, which avoided the random blindness of initial population. The probability of crossover and mutation was selected according to individual fitness value, which ensured the diversity of the population and global convergence ability of the algorithm. An offshore low-permeability oil reservoir at Zhujiang River Mouth Basin was used as an example to carry out optimization design for parameters of multi-branch horizontal well, and the result showed that the genetic algorithm optimization had a feature of global intelligent search optimization, and the optimization results were improved greatly compared with traditional optimization algorithm. So this method has significant superiority and practicability.