首页> 外文会议>Biennial International Pipeline Conference(IPC 2004) vol.3; 20041004-08; Calgary(CA) >PRESSURE BASED LEAK DETECTION FOR PIPELINES, IMPLEMENTED AT BUSINESS UNIT OF PRODUCTION AND EXPLORATION OF PETROBRAS IN RIO GRANDE DO NORTE AND CEARA
【24h】

PRESSURE BASED LEAK DETECTION FOR PIPELINES, IMPLEMENTED AT BUSINESS UNIT OF PRODUCTION AND EXPLORATION OF PETROBRAS IN RIO GRANDE DO NORTE AND CEARA

机译:在里奥格兰德-杜-诺特和塞阿拉的生产和开采石油企业的业务单位中实施的基于压力的管道泄漏检测

获取原文
获取原文并翻译 | 示例

摘要

This paper presents the experiences of the Petrobras Business Unit (UN-RNCE), located in Rio Grande del Norte state of Brazil, during the installation and startup of a pipeline leak detection system. The application involves nine multiphase oil pipelines that link several productions facilities together over a total distance of 450-Km. Prior to the selection and installation of this leak detection system a significant pipeline accident resulted in the pollution of Guanabara bay. The leak was not detected by the existing monitoring equipment because of the two phase and multiphase pipeline characteristics. The UN-RNCE decided to install EFA Technologies, Inc., Pressure Point Analysis (PPA)™ technology in order to detect leaks. It is a a sophisticated statistical method for leak detection, uses very simple field instrumentation, which facilitates ease of installation and maintenance. However, in order to get the best performance out of the system, it is necessary to understand how the pipeline control processes operate and to have a fast, reliable SCADA system for long distance communication. This paper includes the test results, conclusions and the recommendations to expand the system.
机译:本文介绍了位于巴西北里约格兰德州的Petrobras业务部门(UN-RNCE)在管道泄漏检测系统的安装和启动过程中的经验。该应用程序涉及九条多相输油管道,这些输油管道将多个生产设施连接在一起,总距离为450公里。在选择和安装此泄漏检测系统之前,重大的管道事故导致了瓜纳巴拉湾的污染。由于两相和多相管道的特性,现有监控设备未检测到泄漏。 UN-RNCE决定安装EFA Technologies,Inc.的压力点分析(PPA)™技术,以检测泄漏。它是用于泄漏检测的一种复杂的统计方法,使用非常简单的现场仪器,可以简化安装和维护。但是,为了从系统中获得最佳性能,必须了解管道控制过程的运行方式,并拥有用于长距离通信的快速,可靠的SCADA系统。本文包括测试结果,结论和扩展系统的建议。

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