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Fuzhen Chen,Hanqiao Jiang,Xiaohu Bai,Wei Zheng 한국공업화학회 2013 Journal of Industrial and Engineering Chemistry Vol.19 No.2
Sodium metaborate, a novel alkali, is introduced into alkali/surfactant/polymer (ASP) flooding to solve the negative effects caused by conventional alkalis. Sodium metaborate can reduce the adsorption loss of the surfactant as well as the interfacial tension (IFT). Weak alkali sodium metaborate causes less viscosity reduction compared with strong alkalis. Scale precipitation study shows that sodium metaborate can be effective to avoid the scale precipitation damage. Study results indicate that sodium metaborate result in the highest oil recovery of 56% compared with sodium carbonate and sodium hydroxide, and at the same time avoid the problems caused by conventional alkalis.
Yingbo Liu,Jiujun Cheng,Chendan Yan,Xiao Wu,Fuzhen Chen 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.1
The personalized recommendation systems could better improve the personalized service for network user and alleviate the problem of information overload in the Internet. As we all know, the key point of being a successful recommendation system is the performance of recommendation algorithm. When scholars put forward some new recommendation algorithms, they claim that the new algorithms have been improved in some respects, better than previous algorithm. So we need some evaluation metrics to evaluate the algorithm performance. Due to the scholar didn’t fully understand the evaluation mechanism of recommendation algorithms. They mainly emphasized some specific evaluation metrics like Accuracy, Diversity. What’s more, the academia did not establish a complete and unified assessment of recommendation algorithms evaluation system which is credibility to do the work of recommendation evaluation. So how to do this work objective and reasonable is still a challengeable task. In this article, we discussed the present evaluation metrics with its respective advantages and disadvantages. Then, we put forward to use the Matthews Correlation Coefficient to evaluate the recommendation algorithm’s performance. All this based on an open source projects called mahout which provides a rich set of components to construct the classic recommendation algorithm. The results of the experiments show that the applicability of Matthews correlation coefficient in the relative evaluation work of recommendation algorithm.
Guangwei Liu,Hanqiao Jiang,Junjian Li,Min Wang,Fuzhen Chen,Shuaiwei Ding,Xiangan Lu 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.26 No.-
This paper presents gels with asphalt particle (GAP) as a novel composite profile control system, which has better sealing effect for plugging channeling in fractured reservoir. This composite agent was prepared by modified asphalt particle and polymer gels served as suspension. Laboratory core–flood tests showed good injectiviy of GAP solution in high permeability zone with a high plugging rate. Also, the enhance oil recovery mechanism of GAP and polymer gels in fractured reservoir were compared by parallel core–flood test. Simulation results indicate longer response time and better enhance oil recovery for GAP than polymer gels in fractured system.