涪陵江东区块三维水平井优快钻井技术 ——以焦页91平台为例

涪陵二期建产区地质构造比一期更加复杂,目的层埋深更深,水平段倾角变化较大,这些客观因素造成钻井施工困难,钻井周期普遍延长。焦页91平台是部署在二期江东区块西南部的边缘井,地质条件复杂,钻井工程施工难度大。本文深入分析了该平台的第1口井焦页912HF井施工过程中遇到的复杂情况以及造成钻井周期长的主要原因,在后续2口井的施工过程中,针对第1口井出现的问题,采取改进堵漏措施,钻头、螺杆优选,优化井眼轨道,配套提速工具,提高钻井液性能,使用旋转导向工具等技术措施,精细施工,取得了良好的效果,钻头行程和机械钻速大幅提升,钻井周期大大缩短,为涪陵二期江东区块钻井施工提供了经验。     

高效钻杆润滑脂研制及其在川藏铁路勘察中的应用

针对地质钻探深孔或水平孔失返性漏失时钻具磨损及钻进效率低的问题,以白油、钠基稠化剂与粘结性材料等为原料,采用一步法研制了一种高效钻杆润滑脂,并在川藏铁路昌都段定测勘察水平孔现场应用中取得显著效果,有力支撑服务了川藏铁路大位移水平孔施工。室内评价及现场应用结果表明,该润滑脂具有耐低温（-16 ℃）、易涂抹、良好的粘附性与润滑性以及高性价比特点,能长时间保护钻具,而且其润滑效果与国外同类产品相当。     

Comprehensive Marine Observing Experiment Based on High-Altitude Large Unmanned Aerial Vehicle(South China Sea Experiment2020 of the “Petrel Project”)

In collaboration with 12 other institutions, the Meteorological Observation Center of the China Meteorological Administration undertook a comprehensive marine observation experiment in the South China Sea using the Yilong-10 high-altitude large unmanned aerial vehicle(UAV). The Yilong-10 UAV carried a self-developed dropsonde system and a millimeter-wave cloud radar system. In addition, a solar-powered unmanned surface vessel and two drifting buoys were used. The experiment was further supported by an intelligent, reciprocating horizontal drifting radiosonde system that was deployed from the Sansha Meteorological Observing Station, with the intent of producing a stereoscopic observation over the South China Sea. Comprehensive three-dimensional observations were collected using the system from 31 July to2 August, 2020. This information was used to investigate the formation and development processes of Typhoon Sinlaku(2020). The data contain measurements of 21 oceanic and meteorological parameters acquired by the five devices, along with video footage from the UAV. The data proved very helpful in determining the actual location and intensity of Typhoon Sinlaku(2020). The experiment demonstrates the feasibility of using a high-altitude, large UAV to fill in the gaps between operational meteorological observations of marine areas and typhoons near China, and marks a milestone for the use of such data for analyzing the structure and impact of a typhoon in the South China Sea. It also demonstrates the potential for establishing operational UAV meteorological observing systems in the future, and the assimilation of such data into numerical weather prediction models.     

基于多普勒雷达VAD算法的业务应用讨论

多普勒天气雷达垂直风廓线（V WP ）产品在业务预报中已有较广泛的应用,并得到了风廓线的某些特征结构与雷暴及强对流之间的对应关系。由于对多普勒径向速度反演得到风廓线产品的VAD算法缺乏了解,目前对VWP 及速度方位显示（VAD）产品的应用还存在一些误区。文章由单多普勒雷达反演水平风场的基本原理入手,回顾了VWP 及VAD产品在暴雨与强对流临近预报中的应用,并重点对VWP及VAD产品的业务应用误区进行了讨论。     

定量分析几种Q矢量

结合1991年7月5日20:00～6日20:00一次典型的江淮梅雨锋暴雨过程，从台站实际业务工作需要考虑，细致、具体地比较分析了850 hPa、700 hPa及500 hPa 3个层次的准地转 Q 矢量散度场、半地转 Q 矢量散度场、非地转 Q 矢量散度场及湿 Q 矢量散度场与相应时刻地面降水场对应关系的差异，同时还针对每一种 Q 矢量，将其在850 hPa、700 hPa及500 hPa 3个层次的散度场对同时刻降水场的反映能力进行了比较。在定量比较的基础上，得到了对4种 Q 矢量诊断特性的具体认识:（1）在整个梅雨锋暴雨过程中，3个层次的半地转 Q 矢量散度场及准地转 Q 矢量散度场对雨区的反映能力较小，而非地转 Q 矢量的散度场和湿 Q 矢量的散度场对雨区的反映能力明显较前二者大，尤其是湿 Q 矢量散度场在每个层次的诊断能力基本都大于相应层次的其它 Q 矢量的散度场。（2）对于每一种 Q 矢量而言，基本都是在700 hPa的散度场与雨区的对应关系好于各自在850 hPa和500 hPa的散度场，尤其是700 hPa湿 Q 矢量散度辐合场对同时刻梅雨锋暴雨的强度及落区都有很好的指示作用。最后，基于理论的角度对各 Q 矢量的诊断特性进行了较为深入地探讨和比较分析，明确地指出了4种 Q 矢量存在理论前提上的差异。     

多普勒天气雷达探测中气旋分析

利用南京多普勒天气雷达资料,对南京地区2003年7月8日出现的一次雷雨大风和短时强降水过程进行了分析,结果表明:这次强天气过程与多普勒天气雷达观测到的中气旋相联系,文中结合环境风场分析了中气旋的特征,计算了中气旋的主要参数。     

一次罕见大冰雹天气的新一代天气雷达回波分析

利用常规资料和多普勒雷达资料,分析了2011年6月24日洛阳嵩县冰雹天气过程。结果表明：高空横槽转竖,干冷空气入侵,中低层强的偏东风辐合,暖湿气流辐合上升,为冰雹的发生提供了有利的动力和水汽条件;高空冷平流,低层暖平流,为强对流性天气的发生提供了不稳定层结;适宜于冰雹生成发展的0℃层高度,指示有利于对流发展的各类指数,为冰雹的分析预报提供了较好的依据;早期的雷达回波信号及其所带来的天气,为提前对强对流天气性质正确判断和监测预警提供了较好的参考信息;强度〉55dBz的回波高度高于-20℃层高度,VIL值〉60kg／m^2,回波顶高〉12km,有中气旋出现等,是降雹的可靠信号。     

THE RELATIONSHIP BETWEEN HORIZONTAL VORTICITY INDUCED BY VERTICAL SHEAR AND VERTICAL MOTION DURING A SQUALL LINE PROCESS

The horizontal vorticity equation used in this study was obtained using the equations of motion in the pressure coordinate system without considering friction, to reveal its relationship with vertical shear. By diagnostically analyzing each term in the horizontal vorticity equation during a squall line process that occurred on 19 June 2010, we found that the non-thermal wind term had a negative contribution to the local change of upward movement in the low-level atmosphere, and that its impact changed gradually from negative to positive with altitude, which could influence upward movement in the mid- and upper-level atmosphere greatly. The contribution of upward vertical transport to vertical movement was the largest in the low-level atmosphere, but had negative contribution to the upper-level atmosphere. These features were most evident in the development stage of the squall line. Based on analysis of convection cells along a squall line, we found that in the process of cell development diabatic heating caused the subsidence of constant potential temperature surface and non- geostrophic motion, which then triggered strong convergence of horizontal acceleration in the mid-level atmosphere and divergence of horizontal acceleration in the upper-level atmosphere. These changes of horizontal wind field could cause a counterclockwise increment of the horizontal vorticity around the warm cell, which then generated an increase of upward movement. This was the main reason why the non-thermal wind term had the largest contribution to the strengthening of upward movement in the mid- and upper-level atmosphere. The vertical transport of large value of horizontal vorticity was the key to trigger convection in this squall line process.     

非地转湿Q矢量分解在暴雨分析中的应用

利用非地转湿Q矢量对山东省春秋季两次罕见的暴雨天气进行了诊断分析。分析结果表明:暴雨期间都有较强的非地转湿Q矢量辐合,产生上升运动,形成暴雨。这一结果也表明凝结潜热加热对暴雨的产生有着重要的作用。本文进一步把非地转湿Q矢量分解为平行于等位温线和垂直于等位温线两部分。揭示在这两场暴雨过程中,虽然都有中尺度和大尺度辐合上升运动作用的叠加,但在春季暴雨的个例中,垂直于等位温线的非地转湿Q矢量的辐合与总的非地转湿Q矢量的辐合相接近,暴雨以中尺度上升运动为主。而在秋季暴雨的个例中,平行于等位温线的非地转湿Q矢量的辐合与总的非地转湿Q矢量的辐合在形状上相似,在强度上偏强,暴雨的上升运动以大尺度为主,中间夹杂着中小尺度的上升运动,降水以混合型为主。     

支持向量机与卡尔曼滤波集合的西太平洋副热带高压数值预报误差修正

基于T106数值预报产品资料,提出了支持向量机和卡尔曼滤波相结合的方法来进行夏季西太平洋副热带高压数值预报的误差修正与预报优化。首先采用支持向量机方法建立了西太平洋副热带高压面积指数的误差修正模型。基于支持向量机预报优化模型尽管有比较好的拟合精度和预报效果,但与实际副热带高压指数尚有一定的差异。究其原因,除预报对象(副热带高压)本身比较复杂、模型优化因子不够充分以及数值预报误差自身的随机性以外,优化模型的输入、输出基本上是一个静态映射结构,因此前一时刻的预测误差难以得到有效的反馈、调整和修正。为考虑前一时刻预报误差的反馈信息,动态跟踪副高的变化趋势,随后引入卡尔曼滤波方法建立支持向量机-卡尔曼滤波模型,对支持向量机模型的输出结果作进一步的调整和优化。试验结果表明,该方法模型的预报优化效果优于T106数值预报产品以及单纯的神经网络修正模型和卡尔曼滤波修正模型的优化效果,能够较为客观、有效地修正西太平洋副热带高压指数的数值预报误差,改进和优化西太平洋副热带高压的数值预报效果。该方法为副热带高压等复杂天气系统和要素场预报提供了一种新的思路,表现出较好的应用前景。