一种耐超高温、耐酸聚合物的制备及性能测试

摘要：为解决常规聚合物无法满足超高温深井酸化压裂的技术要求，本文分别以丙烯酰胺（AM） 甲基丙烯酰氧乙基三甲基氯化铵（DMC）、AM DMC SMA（十八烷基甲基丙烯酸酯）为原料，通过自由基聚合制备出两种耐酸聚合物SY-1和SY-2，并对其结构进行表征及性能测试。结果表明：SY-2红外谱图中720 cm-1为—(CH2)n—的弯曲振动吸收峰，单体成功接枝到聚丙烯酰胺分子链上；热重分析表明，SY-1升温至600℃失重比为98%，SY-2失重比86%，热稳定性得到改善；质量分数为20%盐酸中，SY-2质量分数0.8%：180℃，170s-1流变性能测试，SY-2剪切终点黏度56mPa?s，90℃、120℃、150℃剪切1h，黏度为83.6mPa?s、43.5mPa?s、27.8mPa?s，剪切稳定性分别为85.66%、74.45%、52.01%； 180℃、3MPa条件下，静态酸岩反应速率为8.94?10-5(g/cm2?s)，较常规SY-1反应速率1.69?10-4(g/cm2?s)减小一个量级。且与缓蚀剂、铁离子稳定剂配伍性良好，克服高温酸化压裂技术的应用瓶颈。     

改性聚丙烯酰胺水溶液的疏水缔合性质

合成了一种疏水缔合水溶性聚丙烯酰胺共聚物，使用荧光光谱法并结合紫外及流变性实验，对制备的疏水缔合水溶性聚丙烯酰胺共聚物在水溶液中形成疏水微区、超分子聚集体及空间网络结构进行了研究，并用扫描电子显微镜证实了溶液中网络结构的存在．     

基于FTP-图的时间序列研究及在设备监控中应用

采用FTP-图(频繁时序图)的时间序列方法对流程企业中的实际运行数据进行数据挖掘,首先给出基于拓扑关系的时间序列的定义,分析FTP-图连接、候选TP-图剪枝和采用哈希树的候选TP-图计数方法,然后采用模糊理论找出偏离常规运行状态的参数点并模糊化,采用时间窗对参数离散处理,得到时间序列数据库.根据Apriori算法原理,提出基于FTP-图的时间序列分析算法并编程实现,起到对设备故障预警和生产优化的决策作用.     

非水电解质浓溶液的热力学研究(Ⅰ)——用缔合模型关联、推算298.15K时HCL甲醇浓溶液的活度系数

利用HCl在甲醇中稀溶液的活度系数,通过Pitzer的缔合模型,关联出298.15K HCl在甲醇中的缔合常数Kx=1.7×10~2,然后利用HCl在甲醇中浓溶液的活度系数关联出近程作用单参数,进而推算溶剂甲醇的活度系数及溶液总压,均得到满意的结果,说明HCl甲醇浓溶液的热力学关联必须考虑HCl的部分离解效应。     

区域生态水利经济系统的初步探讨

根据生态经济学理论、 生态水利研究和区域水资源合理配置理论, 运用系统分析的方法, 结合我国区域生态水 利经济系统研究现状, 在分析区域生态水利经济系统的基本理念的基础上, 探讨了区域生态水利经济系统的组成要 素, 研究了区域生态水利经济系统的发展变化规律。以期为区域经济社会新的发展模式的建立提供理论基础和思 路, 对推动我国自然环境的保护和经济社会的发展起到一定的作用。     

The Importance of Shallow‐Low Velocity Habitats to Juvenile Fish in the Middle Mississippi River

Habitat management is a crucial aspect of fisheries management. Without knowledge of habitat associations, fisheries scientists are unable to effectively make habitat conservation or restoration recommendations. This becomes especially prominent when trying to manage commercially harvested populations and protect threatened or endangered species. To determine juvenile fishes habitat associations in the Middle Mississippi River, we analysed mini‐trawl catch data of six common juvenile fish species: blue catfish (Ictalurus furcatus), channel catfish (Ictalurus punctatus), channel shiner (Notropis wickliffi), freshwater drum (Aplodinotus grunniens), paddlefish (Polyodon spathula), and shovelnose sturgeon (Scaphirhynchus platorynchus). Overall, we conducted 2251 mini‐trawl sampling efforts between 2002 and 2013, resulting in the capture of 23,742 target specimens. Catch per unit effort was evaluated by structural habitat (i.e. velocity, depth, and substrate). Overall, these data suggest that juvenile fish species are more prevalent in shallow water and slower velocities. Ultimately the information garnered during this evaluation should be incorporated when considering habitat modifications, especially those modifications that impact the availability of shallow‐low velocity habitats. Copyright © 2016 John Wiley & Sons, Ltd.     

疏水缔合类聚丙烯酰胺溶液性质研究

综述了疏水缔合类聚丙烯酰胺溶液性质的影响因素以及测定溶液微观形态的研究方法。     

Smart pricing scheme: A multi-layered scoring rule application

Defining appropriate pricing strategy for smart environment is important and complex task at the same time. It holds the primal fraction in Demand Response (DR) program. In our work, we devise an incentive based smart dynamic pricing scheme for consumers facilitating a multi-layered scoring rule. The proposed strategy characterizes both incentive based DR and price based DR programs facilities. This mechanism is applied between consumer agents (CA) to electricity provider agent (EP) and EP to Generation Company (GENCO). Based on the Continuous Ranked Probability Score (CRPS), a hierarchical scoring system is formed among these entities, CA–EP–GENCO. As CA receives the dynamic day-ahead pricing signal from EP, it will schedule the household appliances to lower price period and report the prediction in a form of a probability distribution function to EP. EP, in similar way reports the aggregated demand prediction to GENCO. Finally, GENCO computes the base discount after running a cost-optimization problem. GENCO will reward EP with a fraction of discount based on their prediction accuracy. EP will do the same to CA based on how truthful they were reporting their intentions on device scheduling. The method is tested on real data provided by Ontario Power Company and we show that this scheme is capable to reduce energy consumption and consumers’ payment.     

Particle filtering for sensor fault diagnosis and identification in nonlinear plants

We propose a novel method for sensor monitoring and fault-tolerant estimation in systems described by general stochastic nonlinear and/or non-Gaussian state-space models. Faults are defined as abruptly occurring calibration errors, causing the sensor readings to be biased or scaled. Actuators and the process itself are assumed to be fault free. The main novelty of the work is an adaptive particle filter, whose configuration changes in order to diagnose sensor faults and to compensate for their effects. The presence, type and magnitude of sensor faults are determined through hypothesis testing and maximum likelihood estimation, based on the difference between the measurements and the particle filter estimates. The validity of the proposed approach was demonstrated through simulations on a drum-boiler model, although its effectiveness is not conditioned on any particular feature of the considered example.     

Web软件可信性的模糊评价方法

在对ISO/IEC 9126模型及Web软件属性图进行改进和扩充后,应用因子分析法构建了Web软件可信性评价指标体系,运用结构熵值法确定了各个可信指标的权重,并运用改进的证据合成方法构造专家评价信息的模糊评价矩阵;最后,运用置信度识别准则对软件可信性进行等级评价和得分计算,对应可信性决策规则集得出相应的策略。结合对Web软件中网上银行项目的实例分析说明了该方法的实用性和有效性。