In view of the increasingly serious problem of corrosion and perforation of the oil pipe caused by water source well in the SZ36-1 oilfield, the corrosion law of the pipe is studied under field conditions and the corrosion is predicted. The Orthogonal experiment of five factors and four levels is designed to analyze the effects of temperature, pressure, flow rate, CO ₂ concentration and salinity on the corrosion rate.The main controlling factors in the corrosion environment of the water source well of SZ36-1 oilfield are temperature and CO ₂ concentration. The corrosion prediction model is established and compared by multiple linear regression analysis and BP neural network. The comparative analysis results show that the corrosion prediction model based on multiple linear regression method has higher prediction accuracy and is more suitable for corrosion prediction of oilfield water source well.

This research affords a new method to test the content of methanol in the gasoline, and a special portable instrument was developed according to this method. The disturbance caused by the existence of hydrocarbons and ethers in gasoline was excluded by extraction, and the alcohol was selective oxidized to aldehyde over catalyst A, and the presence of other alcohol can be neglected by selecting suitable color developing agent. The methanol content in 10 different kinds of gasoline samples (including samples of five Ethanol gasolines and of five unleaded gasoline) has been tested by this special instrument. According to the experimental data with GC and this method, the testing speed, selectivity and reliability of the method has been investigated, and the results shows that good reproducibility and accuracy of this method has been demonstrated as compared with those of other rapid test methods.