Journal of Petrochemical Universities
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Analysis of Water Content on Rheology and Wax Precipitation Characteristics
Zhang Yaxin,Li Si,Wang Weiqiang,Wang Guofu,Xiang Nan,Huang Yue
Abstract475)   HTML    PDF (3827KB)(215)      
Using waxy crude oil and pure water as the working material, several groups of W/O emulsions with different microscopic droplet distributions were prepared. With microscope and focused beam reflectance measurement instrument, the size and distribution of the dispersed droplets in emulsion were observed and measured. Furthermore, the effect of droplet distribution on the rheology and wax precipitation characteristics of emulsion was discussed. The results show that with the increase of water content, the apparent viscosity of W/O emulsion will be higher, the yield stress, gel point and wax appearance temperature will also increase, while the constant stress will show a gradually decreasing trendency. The phase transition point of Daqing waxy crude oil is about 60% water content.
2019, 32 (2): 71-76. DOI: 10.3969/j.issn.1006-396X.2019.02.012
Research and Development of Digital Oil Depot  Training System Based on GIS
Xiang Nan, Wu Shengyi, Wang Weiqiang, Luan Ling, Yang Xiaochen
Abstract596)      PDF (3628KB)(345)      
The main work of oil depot is flammable and explosive oil and crude oil. The production process of the production system is complex and the result of false operation is serious. The traditional training mode of staff is limited, the risk is great, and the students can not see the operation and related parameters of the intrinsic relationship. So it is difficult to establish the relationship between theory and practice. The construction of digital oil depot training system based on GIS, can effectively compensate for the lack of the traditional model. Using B/S architecture and SQL server as the database platform, developed in the ArcGIS platform, making the traditional training combine with computer technology, 3D visualization of digital oil depot and the visual information management training and assessment of large data will be realized. The practical example shows that the system has strong practicability, intuitive information display, and has good universality, which provides technical support for improvement of operation and management level of oil depot.
2017, 30 (4): 81-84. DOI: 10.3969/j.issn.1006-396X.2017.04.015