Modeling And Optimization Of Downhole Turbine Drill Blade

In the process of oil production,as power unit,Turbine drill have been widely applied and rapid development in various advanced drilling equipment and tools.The paper introduced the turbine’s common form and characteristics,and has analyzed the output characteristic of turbine drill,and referring to existed same specifications turbine drill decided to structure parameters,obtained the calculation method of parameters.The main component of Turbine drill are turbine stator and rotor,As the basic power unit of turbine drill,its function is transforming the liquid energy into mechanical energy.The turbine blades as an important part of determining the turbine performance,its modeling design is a very important link.The surface of turbine blades is free surface,the current disadvantage of low efficiency and poor applicability on the design of already turbine blade profile.To improve the design efficiency and hydraulic performance of turbine blade,taking as the prototype the current ? 172 mm Turbine drill.On the basis of literature,comprehensive analysis of existing methods that create turbine blade,selecting five polynomial method make the blade optimization modeling profile,hence a parameterized model how to design a blade shape has been put forward.With the help of mathematical software MATLAB to solve the profile of turbine blade equation,the created three-dimensional model of the turbine blades and stator or rotor by UG,combine with fluid CFD analysis NX Flow analyze the hydraulic performance of the model.We got the flow distributions of pressure and velocity in turbine drill stator and rotor on constant flow,hydraulic performances of the turbine blades under different rotation rate were analyzed,then have been compared with the field test data,verified the feasibility of this turbine blades design method.Under CFD analysis,it confirms that the hydraulic performance of turbine drill under different conditions are well demonstrated,which has guiding role for optimization of blade optimization.