首页> 外文会议>Oceans Conference >Quality Control of Minerals Management Service - Oil Company ADCP Data at NDBC: A Successful Partnership Implementation
【24h】

Quality Control of Minerals Management Service - Oil Company ADCP Data at NDBC: A Successful Partnership Implementation

机译:矿物质管理服务的质量控制 - 石油公司ADCP数据在NDBC:成功实施伙伴关系

获取原文

摘要

The Minerals Management Service (MMS) requires that deep water oil drilling and production platforms in the northern Gulf of Mexico collect and provide current profile data to the National Data Buoy Center (NDBC). NDBC processes and displays the resulting currents on the NDBC website. NDBC has recently implemented quality control algorithms agreed upon by industry and the government-The resulting imagery and data, including quality control flags, are available on the publicly available NDBC website. The quality control algorithms and flags are presented and comparisons of the resulting files are described. Oil companies must collect current profile data when drilling wells or operating production platforms in water greater than 400 meters deep. They are required to collect the data at 20 minute intervals and transmit the data via FTP to NDBC. The data are received, decoded, and quality controlled at NDBC. The current profiles are then formatted in TEmperature Salinity and Current (TESAC) messages and transmitted over the Global Telecommunications System (GTS). The data are also viewed over the NDBC website as columnar listings and current vector stick plots. In order to determine the quality control algorithms for the current profiles, a committee of oil company, industry, and government representatives determined an approach that includes both individual bin (depth level) and profile algorithms. The algorithms take advantage of the fact that the Teledyne RDI Acoustic Doppler Current Profiler (ADCP) collects error velocity, percent good statistics for 3 and 4 beams, and correlation matrices and echo amplitudes for each beam. The algorithms described in this presentation were then implemented and flags generated for each quality control test. A total of nine flags are assigned within the NDBC database. The flags indicate good data (3), suspect data (2), or bad (1) data. Only bad data are not reproduced or plotted on the NDBC real-time webpage. Results from the implementation are being reviewed, but a quick look indicates that the algorithms are returning accurate descriptions of the ADCP data. The stick plots of ocean current with depth are much "cleaner" following the quality control implementation. The implementation of the quality control algorithms was delayed by Hurricanes Katrina and Rita, which impacted both the NDBC and the oil industry in the Gulf of Mexico. NDBC is now resubmitting past data files through the quality control algorithms to insure that all data at NDCB have been quality controlled. The results of this effort (including the quality control algorithms) are being shared with Integrated Ocean Observing System (IOOS) partners in an effort to standardize quality control of oceanographic data.
机译:矿产管理局(MMS)要求,在墨西哥湾北部收集的深水石油钻探和生产平台和国家资料浮标中心(NDBC)提供当前配置文件数据。 NDBC处理和显示的NDBC网站上所产生的电流。 NDBC最近实施了工业及政府所得到的图像和数据,包括质量控制标志商定的质量控制算法,可公开获得的NDBC网站上。质量控制算法和标志都和所得到的文件的比较进行说明。石油公司打井或在水中大于深400米经营生产平台时必须收集当前配置文件数据。他们需要收集在20个分钟的时间间隔的数据,并通过FTP将数据传送给NDBC。数据被接收,解码,和质量控制NDBC。然后,将电流分布被格式化在温度盐度和电流(TESAC)消息并发送在全球电信系统(GTS)。这些数据也查看过NDBC网站,柱状物品和电流矢量棒图。为了确定当前型材的质量控制算法,石油企业,行业和政府代表组成的委员会决定,包括独立的贮藏(深度级)和曲线算法的方法。算法利用这样的事实,所述Teledyne公司RDI声学多普勒流速剖面(ADCP)收集速度误差,百分之好统计3次4的光束,和相关矩阵和回声振幅对于每个波束的优​​势。在此演示文稿描述的算法然后执行,用于每个质量控制测试生成的标志。共有九个标志的NDBC数据库中分配。该标志指示良好的数据(3),可疑数据(2),或不良(1)的数据。唯一不好的数据不被复制或绘制在NDBC实时网页。从实施效果正在被审查,但咋一看表明算法返回ADCP数据的准确描述。洋流随深度的棒图是多少“清洁”之后的质量控制实现。质量控制算法的实现是由飓风卡特里娜和丽塔,这既影响了NDBC和石油行业在墨西哥湾的延迟。 NDBC现在通过质量控制算法重新提交过去的数据文件,以保证在NDCB所有数据已质量控制。这种努力(包括质量控制算法)的结果正在集成海洋观测系统(IOOS)以努力标准化海洋学数据的质量控制伙伴共享。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号