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At present, most oilfields in our country has entered the mid-late development, water-flooding technology is widely accepted, multi-layer hybrid mining and multi-layer hybrid conveying process. If no compatibility between injected water and formation water or different horizon produced water is poor, it can form various types of oil field scale.Scale reservoir caused by congestion, not only can bring damage to reservoir, also can give bring different degree of corrosion of equipment and pipeline, reduce the heat transfer rate of equipment and pipeline. The scale formation, fouling hazards, scaling trend prediction and antiscale technology in oilfield produced water are introduced. It as the basis of the theory of compatibility experiments has a certain realistic guiding significance in mixed mining, mixed transportation and reinjection process.

On the basis of researching virtual reality training system at home and abroad, in view of the oilfield staff training needs, we design the training system framework of the oilfield staff simulation based on virtual reality technology. Give the composition of the system framework and the main functions of the modules. Using the simulation technology, we can draw the craft process. Let the employees do man-machine interactive operation in a virtual reality scene. Then according to the quality of operation, operation steps and the alarm-condition appears in the operation, the training system give a score. Through this kind of training methods, it improves the safety skills of the oilfield staff and capability of dealing with accidents.

Pear-shaped needle is a special tool to processing microporous on the spinneret, which is critical to the quality of the spinneret. Existing processing methods of pear-shaped needle has many disadvantages, this paper put forward a method to processing pear-shaped needle with hone grinding, and validated it by experiment.

The microporous on spinneret has the characteristics of high precision, small pore size and large quantity. Spinneret microporous finishing operation is mainly used for removing the burr formed on the spinneret silk surface after micropores drilling and punching. The burrs seriously affect the quality of the spinning fibers. Micropore spinneret finishing plays a vital role in improving the quality of processing micropore. This paper introduces a system consisting of the spinneret micropore fine machine,then focuses on fine machine positioning system and proposes a high-precision positioning method of the microporous.

In this paper,we conducted circular cone turning cutting force measurement test by using orthogonal test method and YDCD piezoelectric unidirectional turning dynamometer,then analyzed the orthogonal test results with the intuitive analysis method. A BP neural network model between the cutting speed,feed rate,cutting depth and the main cutting force is established by using Matlab neural network toolbox and then to be verified. The verification results show that the BP neural network circular cone turning cutting force prediction model has very high prediction accuracy.

The paper takes the cold working die steel Cr12 for specimen material,carries out the plunge milling test on Cr12 and the plunge milling force has been measured by YDX - Ⅲ 9702 piezoelectric milling dynamometer. The tool deformations are analyzed both in plunge milling and side milling on the same size milling force. Test and analysis show that the axial milling force significantly greater than the other two directions and the tool deformation in plunge milling less than the tool deformation in the side milling.