智能压力传感器

讨论了压阻式智能传感器的设计,并以80C31单片机为核心构成了一个能检测压力、温度的智能传感器,它能实现量程的自动变换、故障的自诊断及数据的处理,通过软件实现了对半导体传感器的零点修正、非线性修正及温度补偿。实验表明,传感器的智能化改善了传感器的性能。     

激光辐照对不同饵料微藻生长的影响

利用Nd:YAG激光(波长1.06μm,功率5W,照射时间0.5-3min)和Ar 激光(波长:488nm,功率70mw,照射时间5-20min)分别照射角毛藻和叉鞭金藻,辐照后进行细胞增殖和生长速率的测定。实验结果表明:照射剂量为1min的Nd:YAG激光及剂量为5min的Ar 激光对叉鞭金藻有较明显的促长效果,这两种激光处理组的细胞增殖量在辐照后的两天内较对照组分别高42.9%和48.1%,但这种促长效果随时间的推移逐渐消失。不同剂量的两种激光辐照角毛藻后,在延滞期均出现生长抑制现象,但进入指数生长期或传代培养后,剂量为1min的Nd:YAG激光及剂量为10min的Ar 激光对角毛藻有明显的促长效果,其中在指数生长期1min剂量的Nd:YAG激光处理可促长27.0%,传代培养后10min的Ar 激光处理组生长速率提高达51.2%。本文对不同激光及不同激光参数条件下,两种饵料藻的耐受性及生长特性的差异也进行分析探讨。本实验结果不仅证实了已有研究的推论,还展示出激光技术在饵料藻种选育中的应用前景。     

动态模糊神经网络在大坝变形预报中的应用

针对静态模糊神经网络的局限性,提出了在线动态建模的模糊神经网络方法.当新增样本进入训练集之后,根据新样本对模型的贡献大小,在已有模型的基础上进行动态修正,这样可以减少建模的计算时间.新方法实现了增加样本而矩阵阶数不增加,避免了矩阵求逆运算,理论上可以提高计算效率.实例表明动态模糊神经网络方法是可行的,可实现持久预报,具有较强的适应能力和较高的预报精度,可应用于在线实时变形预报及相关领域.     

通过室内实验及同位素测井技术评价高分子聚合物驱油效果

2500万超高分聚合物室内驱油实验研究了聚合物分子量、浓度、粘度、聚用量、段塞组合等各项性能指标对驱油效果的影响。本文根据室内实验结果,在北一区断西注聚后期开展矿场试验,取得了较好的开发效果。试验前后对比,注入粘度明显增大,月含水上升速度得到有效控制,吸入剖面有了新的动用,有63.1%的油井出现了明显的二次受效特征,取得了显著的经济效益。同时对驱油效果进行系统分析。驱油效果表明:应用2500万超高分聚合物是进一步提高聚驱采收率的有效途径。     

连续蒸煮器内洗涤结合器外扩散洗涤的应用

连续蒸煮器内洗涤结合器外扩散洗涤，具有洗涤时间长、洗涤效率高、提取黑液浓度高、浆层厚度均匀、浆层结构组织和浓度一致等特点，运行可靠，易于自动化控制，实现了洗涤用水的封闭循环。     

Network traffic prediction based on a new time series model

Fast and accurate methods for predicting traffic properties and trend are essential for dynamic network resource management and congestion control. With the aim of performing online and feasible prediction of network traffic, this paper proposes a novel time series model, named adaptive autoregressive (AAR). This model is built upon an adaptive memory‐shortening technique and an adaptive‐order selection method originally developed by this study. Compared to the conventional one‐step ahead prediction using traditional Box–Jenkins time series models (e.g. AR, MA, ARMA, ARIMA and ARFIMA), performance results obtained from actual Internet traffic traces have demonstrated that the proposed AAR model is able to support online prediction of dynamic network traffic with reasonable accuracy and relatively low computation complexity. Copyright © 2005 John Wiley & Sons, Ltd.     

Investigation of texture effect on visual colour difference evaluation

The texture effect on visual colour difference evaluation was investigated in this study. Five colour centers were selected and textured colour pairs were generated using scanned textile woven fabrics and colour‐mapping technique. The textured and solid colour pairs were then displayed on a characterized cathode ray tube (CRT) monitor for colour difference evaluation. The colour difference values for the pairs with texture patterns are equal to 5.0 CIELAB units in lightness direction. The texture level was represented by the half‐width of histogram, which is called texture strength in this study. High correlation was found between texture strength and visual colour difference for textured colour pairs, which indicates that an increasing of 10 units of texture strength in luminance would cause a decreasing of 0.25 units visual difference for the five colour centers. The ratio of visual difference between textured and solid colour pairs also indicates a high parametric effect of texture. © 2005 Wiley Periodicals, Inc. Col Res Appl, 30, 341–347, 2005; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/col.     

多属性神经网络地震反演在NB油田水平井钻探中的应用

NB油田位于渤海海域,为新近系河流相稠油油田,储层横向分布不稳定,砂体厚度薄、连通性较差,油水关系复杂,开发设计部署了大量水平井。选择神经网络反演方法,建立地震属性与储层参数的非线性关系,进而根据其关系反演得到储层参数数据体,利用该数据体沿层切片提取储层预测信息,研究储层发育规律,指导该油田水平井的部署和钻探,取得了较好的效果,降低了钻探风险。用神经网络地震反演方法进行储层预测研究,指导水平井钻探,在渤海海域尚属首次。     

油罐清洗作业防火安全措施

目前大型原油储罐逐步应用自动机械清洗系统进行清罐作业,而对于容量小、沉积物较少的油罐国内仍采用人工清洗方式进行。分析了油罐人工清洗作业过程时容易引发火灾的原因,并提出相应的预防火灾措施。     

井下伴热电缆导体集肤效应的有限元法分析

运用有限元法, 对交频井下伴热电缆导体内部的集肤效应现象进行了数值模拟和分析,比较直观地得出交频电缆中电流密度的分布特性, 以及交流电的不同频率对导体集肤深度的影响。在集肤效应作用下, 电缆导体内部的有效过流面积减小, 交流阻抗显著加大, 其发热量也很大,井下电缆伴热加热技术就是利用这一原理来加热原油的。通过数值模拟, 可以定量地说明电参数对加热效果的影响, 为稠油井井下电缆伴热技术中优化加热参数提供指导。