提高大直径井眼机械钻速的几项措施

随着我国西部地区石油勘探开发的进展，5000－7000m的深探井所钻数量不断增多，套管程序增加，特别是大尺寸井眼所钻深度明显加大。由于国产大尺寸钻头结构单一、型号少，破岩机械能量和水力能量不足，在易斜井段目前尚无可靠的防斜保直措施，以及钻井液性能不适宜等原因，大尺寸井眼的钻这远远低于215．9mm井眼的钻速。据此，提出了几项可以提高大尺寸井眼钻速的措施：增加大尺寸钻头的种类，采用阶梯式扩眼钻头，强化钻井参数和水力参数，选用中速动力钻具，改善钻井液性能以及采用冲击旋转钻具等。     

Trends in Hydrological Parameters of a Southern Brazilian Watershed and its Relation to Human Induced Changes

The Piracicaba river basin is a subtropical watershed located in the southeastern region of Brazil. With an area of 12 400 km², the basin is a typical example of new landscape resulting from development in tropical and sub-tropical regions: establishment of intensive industrial and agricultural processes were followed by significant population growth and water management. This scenario has led to significant increase in water demand and decrease in water quality. The main objective of this study is the detection of changes in the patterns of flow and precipitation in the basin, and its possible relation to man-induced changes. Statistical analyses were performed on records of precipitation, evapotranspiration and streamflow, from 1947 to 1991. Precipitation and evapotranspiration totals showed significant increasing trends for the entire basin. From eight streamflow gauge stations, half showed significant decreasing trend. The most probable cause of such trends is the export of water from the basin to the metropolitan region of São Paulo city.     

一种简便的评定引战配合效率方法

在导弹近炸引信起爆延时具有随机性基础上，本文建立了一种用延时及其数学特征表示的评定引战配合效率的简便方法，并对有关应用问题进行了讨论。     

微米级冷轧带钢厚度控制系统

分析、讨论了冷轧应用的各种厚度控制的优缺点，介绍质量流量厚度控制原理和控制精度极高的微米级带钢厚控（μＡＧＣ）系统及其可能产生的经济效益。     

潜油电动机滑行时间的自动测量

潜油电动机滑行时间是评定电动机装配质量的重要指标。鉴于手工测量电动机滑行时间存在效率低和误差较大的不足,设计了潜油电动机滑行时间自动测量系统。它通过分压电路和计算机自动测量系统测量潜油电动机定子上感应的电压变化状况,即可得到电动机滑行时间。用手工测量、波形分析和自动测量3种方法测量6种型号电动机的滑行时间,其中5种滑行时间长于3s,判定为合格;1种滑行时间短于3s,判定为不合格。3种方式测量的滑行时间具有较好的一致性,仅波形分析法得出的滑行时间比自动测量的滑行时间稍长,表明自动测量方法的精度和重复性可满足要求。     

大截面金属镍棒的焊接工艺与实践

金属镍在电渣精炼前需用氩弧焊焊接接长,为保证焊接接头具有足够熔深,需要大参数进行焊接.采用直流焊机并联使用解决了焊机电流不足的情况,通过采取垫高镍棒端头,使接缝处于受压状态,以防止裂纹的产生.     

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.     

PDC钻头对录井的影响及应对措施

钻井技术水平的不断提高和PDC钻头的广泛使用给现场录井作业带来了新问题。与传统的三牙轮钻头相比,PDC钻头突出的特点是产生的岩屑稀少、细小甚至失真,给地质录井的岩屑采集、鉴定、识别以及油气层级别的判定、解释、评价带来了一系列困难。为此,结合PDC钻头在新疆塔河、松辽盆地、鄂尔多斯等地油田的使用及录井经验,从PDC钻头条件下岩屑特征和岩性特征的分析入手,阐述使用PDC钻头对气测录井、荧光录井的影响,总结了在PDC钻头条件下搞好录井作业的应对措施,并列举了提高录井技术水平的可行途径。     

我国天然彩棉的研发现状及发展趋势

对天然彩棉的历史、纤维特点、纤维的形态结构及性能作了简要介绍，重点介绍了我国彩棉的研发现状及研发中亟待解决的瓶颈问题，最后对彩棉在我国的发展前景进行了展望。     

Discrete-time spare ordering policy with randomized lead times and discounting

The paper considers a generalized discrete‐time order‐replacement model for a single unit system, which is subject to random failure when in operation. Two types of discrete randomized lead times are considered for a spare unit; one is for regular (preventive) order and another is for expedited (emergency) order. The model is formulated based on the discounted cost criterion. The underlying two‐dimensional optimization problem is reduced to a simple one‐dimensional one and then the optimal ordering policy for the spare unit is characterized under two extreme conditions: (i) unlimited inventory time and (ii) zero inventory time for the spare unit. A numerical example is used to determine the optimal spare‐ordering policy numerically and to examine the sensitivity of the model parameters.