原油基压裂液研究

研制了一种适用于低压、低渗、水敏性储集层的新型原油基压裂液体系。根据基液原油的组分合成相应的增稠剂，增稠剂在原油中与交联剂反应，形成网状结构，使原油成为黏度可以调控的冻胶，从根本上改变了油基压裂液以柴油、煤油为基液的现状，降低了油基压裂液的成本，同时还提高了压裂液的抗温、抗剪切和破胶性能，并将交联时间缩短到2h以内，可以满足现场压裂施工的要求，大大降低了施工强度和压裂改造的综合成本。在青海油田进行的现场先导试验取得成功。图9表1参5     

Mixed Mode VLSI Implementation of a Neural Associative Memory

A mixed mode digital/analog special purpose VLSI hardware implementation of an associative memory with neural architecture is presented. The memory concept is based on a matrix architecture with binary storage elements holding the connection weights. To enhance the processing speed analog circuit techniques are applied to implement the algorithm for the association. To keep the memory density as high as possible two design strategies are considered. First, the number of transistors per storage element is kept to a minimum. In this paper a circuit technique that uses a single 6-transistor cell for weight storage and analog signal processing is proposed. Second, the device precision has been chosen to a moderate level to save area as much as possible. Since device mismatch limits the performance of analog circuits, the impact of device precision on the circuit performance is explicitly discussed. It is shown that the device precision limits the number of rows activated in parallel. Since the input vector as well as the output vector are considered to be sparsely coded it is concluded, that even for large matrices the proposed circuit technique is appropriate and ultra large scale integration with a large number of connection weights is feasible.     

新型涂料增稠剂的化学成分鉴定

本文用红外光谱法对一种新型涂料增稠剂进行了化学成分鉴定,其主要成分为羟丙基甲基纤维素与蒙脱土。     

A hierarchical model for structure learning based on the physiological characteristics of neurons

Almost all applications of Artificial Neural Networks (ANNs) depend mainly on their memory ability. The characteristics of typical ANN models are fixed connections, with evolved weights, globalized representations, and globalized optimizations, all based on a mathematical approach. This makes those models to be deficient in robustness, efficiency of learning, capacity, anti-jamming between training sets, and correlativity of samples, etc. In this paper, we attempt to address these problems by adopting the characteristics of biological neurons in morphology and signal processing. A hierarchical neural network was designed and realized to implement structure learning and representations based on connected structures. The basic characteristics of this model are localized and random connections, field limitations of neuron fan-in and fan-out, dynamic behavior of neurons, and samples represented through different sub-circuits of neurons specialized into different response patterns. At the end of this paper, some important aspects of error correction, capacity, learning efficiency, and soundness of structural representation are analyzed theoretically. This paper has demonstrated the feasibility and advantages of structure learning and representation. This model can serve as a fundamental element of cognitive systems such as perception and associative memory.     

Associative properties of perfluorooctyl end‐functionalized polystyrene–poly(ethylene oxide) diblock copolymers

The synthesis of 2,2,3,3‐tetrahydro‐perfluoroundecanoyl end‐functionalized polystyrene–poly(ethylene oxide) block (PS‐block‐PEO‐R_F) copolymers and their matching PS‐block‐PEO diblock copolymers was carried out by sequential anionic polymerization. Viscometry and ¹⁹F NMR studies show that the PS‐block‐PEO copolymers, in contrast to their matching PS‐block‐PEO‐R_F copolymers, exhibit a micellar rather than the associative behavior seen for the latter. However, the presence of an excess of fluorinated acid, used for end‐functionalization, produces a reduction of the associative behavior above the overlap concentration, with the fluorinated acid acting like a surfactant. A competition may also occur between PS—and R_F—mediated micellization. Copyright © 2004 Society of Chemical Industry     

黄原胶接枝共聚物降滤失剂应用性能评价

黄原胶（XG）具有优良的耐盐性和增稠降滤失性能，但耐温性较差。对XG分子结构的分析认为，可利用XG链上的活泼基团接枝丙烯酰胺等乙烯基单体，增强其耐温性能，用作耐温抗盐钻井液处理剂。对比了合成的黄原胶丙烯酰胺等接枝共聚物（XGG）降滤失剂与XG在淡水、4％盐水和饱和盐水钻井液中的增粘降滤失性能和抗温性能，并通过岩心膨胀试验对比了XGG、XG和KCl对页岩的抑制性能。试验结果表明，在淡水钻井液中XGG具有极强的增粘效果和降滤失能力，远远超过XG1随着钻井液矿化度的提高，XGG的性能有一定下降，但XGG在各种钻井液中均具有比XG更好的高温增稠和控制失水的能力；XG已具有优良的抑制性，XGG的抑制性得到进一步提高。     

Contextual cues aid recovery from interruption: The role of associative activation.

A series of experiments introduced interruptions to the execution phase of simple Tower of London problems and found that the opportunity for preparation before the break in task reduced the time cost at resumption. Retrieval of the suspended goal was facilitated when participants were given the opportunity to encode retrieval cues during an "interruption lag" (the brief time before engaging in the interrupting task) but was impeded when these visual cues were subsequently altered following interruption. The results provide useful support for the goal-activation model (E. M. Altmann & G. J. Trafton, 2002), which assumes that context--at the points of both goal suspension and goal retrieval--is critical to efficient interruption recovery. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

基于αβ运算的多层联想记忆模型的研究

介绍了αβ运算符的定义和αβ联想记忆矩阵的四种操作。通过四种矩阵操作来实现模式对的培训和回忆。αβ多层联想记忆模型相比形态学联想记忆模型数值计算相对容易。最后,通过αβ多层联想记忆的数字模拟实例验证了αβ多层联想记忆具有良好的回忆性能。     

PAAD-16酸液稠化剂的合成与性能

以二甲氨基丙基甲基丙烯酰胺和溴代十六烷为原料,丙酮为溶剂,合成了一种疏水单体——二甲基十六烷基(2-甲基丙烯酰胺基丙基)溴化铵(DHAB),并以DHAB、2-甲基-2-丙烯酰胺基丙磺酸(AMPS)和丙烯酰胺(AM)为单体,以自由基水溶液聚合法合成了一种疏水缔合聚合物P(AM-AMPS-DHAB)(PAAD-16),用IR、荧光光谱(FL)和SEM对其进行了结构表征。结果表明:PAAD-16的酸溶时间约为90 min;以该疏水缔合聚合物为主要添加剂配制而成的稠化酸在30℃、170s~(–1)下的表观黏度为59m Pa×s,在60、90℃下的热稳定性(ω)分别为85.0%和66.1%,在该条件下连续剪切120 min后剪切稳定性(ω')为81.4%,具有良好的增黏性、耐温抗剪切性和缓速性能。     

不同Li/Nb摩尔比In∶Fe∶LiNbO_3晶体的生长及其光学性能

在Li NbO3(LN)中掺摩尔分数为1%的In和掺质量分数为0.03%的Fe,用提拉法技术生长具有不同n(Li)/n(Nb)[n(Li)/n(Nb)=0.94,1.05,1.20,1.38]的In∶Fe∶LN晶体。测试不同n(Li)/n(Nb)的In∶Fe∶LN晶体的吸收光谱、抗光致散射能力和指数增益系数,并计算晶体的有效载流子浓度。结果表明晶体样品随着n(Li)/n(Nb)增加,吸收光谱的吸收边发生紫移,抗光致散射能力增加,指数增益系数和有效载流子浓度增大。采用n(Li)/n(Nb)=1.38的In∶Fe∶LN晶体作记录介质,n(Li)/n(Nb)=1.05的In∶Fe∶LN晶体作位相共轭镜进行全息关联存储实验。实验表明存储系统具有实时处理,成像质量好,信噪比高和能反复使用等优点。