The Research Of Self-selection Optimization Technology About Multi-performance Parameters Of Working Fluid In Oil And Gas Wells

Based on a large number of mathematical algorithms,self-selection optimization technique is created,studying the evaluation standards and models of self-selection optimization.Some VB programs are writed to realize unmanned control algorithms selection and algorithms optimization.Self-selection technology can complete a series of intelligent,sophisticated,integrated operations,such as prediction,optimization,diagnosis,etc.The application of self-selection optimization can not only save a lot of time,but also improve the accuracy.In the paper,based on a great deal of related literatures,a research is completed about orthogonal test,uniform test method,multiple regression algorithm and data mining method.The 18 groups of experiments have been done,which is about fluid viscosity and time stability.The self-selection optimization method is composed with self-selection optimization model and the self-selection optimization evaluation.The software is made by more than 1200 lines of code.The self-selection optimization method includes 5 aspects,such as precision,computing speed,storage space,identification and processing of abnormal data,and generalization ability.The framework of software is provided by the self-selection optimization calculation process and the optimization of algorithms.The self-selection optimization software mainly includes neural network algorithm and multiple regression algorithm.The software runs smoothly,and the accuracy of the test is more than 80%.