The thruster is the power unit of the underwater robot, and the propeller is an important part of the underwater thruster. In order to design a set of high-performance propellers, the theoretical design of the magnetically coupled propellers was first conducted based on the graph method. The structural parameters of the propellers were initially determined, and the preliminary design of the propellers was completed. The simulation calculation and analysis on the propeller were conducted using Fluent based on hydromechanics. The analysis results show that the selection of the pitch ratio is influenced by the advance coefficients and the propeller thrust coefficient. Under the premise of ensuring that the propeller thrust coefficient meets the requirements, lower advance coefficients leads to a smaller pitch ratio. Disk ratio has no effects on the thrust on the blade surface, resulting in very close of propeller efficiencies. Under high advance coefficients, the thrust provided by the unit blade surface is equal. The propeller with a larger disk ratio can absorb more main engine power and be more efficient. Smaller gap between the outer edge of the propeller and the inner diameter of the guide pipe leads to larger propeller coefficient, and the guide pipe propeller’s efficiency will be the highest. The guide pipe propeller thrust coefficient fluctuates slightly under certain advance coefficients with the change of the shrinkage coefficient. The shrinkage factor should not be too large. If the load is large, a smaller expansion coefficient is preferred. If the load is small, a larger expansion coefficient is better. The study results could provide references for the further optimization design of the underwater robot propeller.

A method of modeling in the oil field system based on the support vector machine(SVM) is proposed,based on knowledge of oil-bearing characteristics.The method for recognizing oil/gas/water zone is applied to interpret the law of oil and gas distribution.Simulation shows that the law of oil and gas distribution coincides with oil testing results,and SVM is effective for recognizing oil and gas distribution in oil field.