导向钻井系统在多目标大井斜定向井中的应用

详细介绍了C-D井在钻进过程中井眼轨迹的控制过程,总结了在C-D井中使用导向钻井系统的成功经验。用1根导向马达、2套钻具组合、3只牙轮钻头顺利地完成了定向、增斜、稳斜及降斜,7个目标点一次击中,且最小靶心距仅0.99m。用15d完成了这口斜深2287.09m、井斜58.40°、水平位移903.11m的多目标定向井,钻穿目标点之多、实钻井眼剖面符合率之高、施工难度之大、速度之快,在目前国内都处于领先地位。     

Practical method for generation expansion planning based on dynamic programming

This paper presents an efficient method which provides the optimal generation mix and the optimal generation construction process. The approximation method in which the dynamic programming technique and gradient method are combined is applied to determine the optimal generation mix with hydropower generation technologies. The successive approximations dynamic programming (SADP) technique, which is very suitable for high-dimensional multistage decision process problems, is used for obtaining the optimal generation construction process. The effectiveness and feasibility of the developed technique are demonstrated on a practical power system model which has five types of generation technologies including a hydropower generation technology.     

Advancing controlled release packaging through smart blending

Researchers from Rutgers University and Clemson University have collaborated to develop a concept of using smart blending to generate functional packaging films for the controlled release of active compounds such as antimicrobials, antioxidants and flavour compounds to extend the shelf‐life of food. In this paper, literature results are reviewed to justify the significance of controlled release packaging (CRP) and the research gaps for further development are identified. A major research gap is the lack of packaging materials that can provide the release of active compounds at rates suitable for a wide range of food packaging applications. Smart blending is a promising technology for bridging this research gap. To fully realize the potentials of smart blending, a systematic approach for developing CRP using smart blending is also presented. Copyright © 2005 John Wiley & Sons, Ltd.     

Temperature effects on the mass flow rate in the SBI and similar heat‐release rate test equipment

In various medium‐to‐large‐scale fire test equipments like the ISO room corner test (RC), and more recently, the single burning item test (SBI) the mass flow rate measurement of the combustion gases plays a key role in the determination of the heat‐release rate and smoke‐production rate. With the knowledge of the velocity profile and the temperature of the flow, the mass flow rate is obtained by measuring the velocity on the axis of the duct. This is done by means of a bi‐directional probe based on the pitot principle. However, due to the variation of the mean temperature and the temperature gradient in any cross section of the duct, introduced by ever changing combustion gas temperatures, the velocity nor the density profile are constant in time. This paper examines the resulting uncertainty on the mass flow rate. Copyright © 2006 John Wiley & Sons, Ltd.     

田5-斜19五段制剖面定向井钻井技术

五段制剖面定向井施工难度较大，主要介绍了田5—斜19井的井眼轨迹控制、相关安全钻井及钻井液技术，并对施工中发生的复杂情况进行了分析，总结了一些经验，对五段制剖面类型定向井施工具有一定的参考价值。     

基坑支护工程的优化设计研究

通过基坑工程实例,对深基坑支护结构的优化设计进行了探讨,结果表明,在基坑支护设计中综合利用各方面因素,因地制宜,将具有良好的社会效益和经济效益。     

Fisher最优分割法在星星哨水库汛期分期划分中的应用

Fisher最优分割法是对有序样本进行最优化分段的一种数学方法。本文利用该方法对星星哨水库汛期进行相应的划分,结果表明该方法是可行的。因此,可利用该结果对分期实施不同的汛限水位,使水库的防洪和兴利效益达到最大。     

基于约束优化的联想记忆模型学习算法

本文提出了一种对称互连神经元网络的学习策略,利用全局约束优化方法确定连接权。优化过程采用了梯度下降技术。这种学习算法可以保证训练样本成为系统的稳定吸引子,并且具有优化意义上的最大吸引域。本文讨论了网络的存储容量,训练样本的渐近稳定性和吸引域大小。计算机实验结果说明了学习算法的优越性。     

余热利用系统多目标优化模型及应用

以炭黑生产中的余热利用系统为背景建立了余热利用系统多目标优化规划数学模型;阐述了模型的求解方法;给出了实例分析。     

Hierarchical intelligent control with flexible AC transmission systems application

A novel hierarchical intelligent controller configuration is proposed using an artificial neural network as a control-mode classifier in the supervisory level and a set of pre-designed controllers in the lower level. Controller outputs are modified nonlinearly by the classifying signals in a structure resembling one artificial neuron with adaptively changed weights. The lower-level local controllers are implemented using neural networks. An illustrative example of this approach is based on the transient stabilization of a single-machine infinite-bus system studied in Flexible AC Transmission Systems (FACTS) research.