Petroleum Exploration and Development (Aug 2010)

Remote sensing for the sea ice effect monitoring in petroleum development: Take the Nanpu sea area as an example

  • Zhou Hongying,
  • Yu Wuyi,
  • Zhang Yimin,
  • Wang Wenhui

Journal volume & issue
Vol. 37, no. 4
pp. 501 – 507

Abstract

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Sea ice monitoring is one of the important guarantees for marine operation and transport. The space borne remote sensing techniques have the advantages of wide area surveillance, multi-temporal resolution, prompt acquisition, and high precision. They have become one of the key sea ice monitoring techniques. The new Chinese satellite HJ-1A/B CCD images were used in the sea ice monitoring of the Nanpu sea area in winter, during the time from Nov. 29, 2008 to Feb. 21, 2009. A fast processing work flow was established based on the object-oriented information extraction technology. It was used to map the change of the ice area during the period. According to the ice area change, the ice sea distribution, and the historical meteorological information, the ice period was divided into: initial ice (early Dec., 2008 to the end of Dec., 2008), abounding ice (from the end of Dec., 2008 to the end of Jan., 2009), ice thawing (from the end of Jan., 2009 to the end of Feb., 2009). The work contributes to the safe construction of the artificial islands in the Nanpu-4 structure during the icebound season. The study shows that the remote sensing technology is a practical and effective technical means for the sea ice security monitoring of oil fields' exploration, development and engineering construction in beaches. 摘 要: 海冰监测是海上生产作业和运输的重要保障之一,遥感技术以其范围大、多时相、快速、准确等特点成为海冰监测的重要手段。采用最新发射的国产卫星HJ-1A/B星CCD数据,对冀东南堡海域2008年11月29日到2009年2月21日的冬季冰情进行全程监测,建立了基于面向对象的信息提取技术的滩海冰情遥感监测快速处理流程,并运用处理流程对南堡海域各时相的影像解译结果进行统计分析,绘制了整个冰期的冰面积变化统计图。根据冰面积变化统计图、各时相海冰分布图,结合历史气象信息进行分析,得出该海域海冰冰期划分结果:初冰期(2008年12月初至2008年12月底),盛冰期(2008年12月底至2009年1月底)及融冰期(2009年1月底至2009年2月底)。此冰期划分结果对正在建设中的南堡4号构造人工岛冬季冰期的安全施工起到了重要指导作用,表明遥感技术能对油田滩海冰情进行及时、全面、准确的监测,是油田滩海工程冬季海冰安全监测实用、有效的技术手段。图5表3参16 Key words: remote sensing technique, offshore engineering, sea ice monitoring, ice period division, Nanpu sea area