首页> 外文期刊>The Science of the Total Environment >Autonomous marine environmental monitoring: Application in decommissioned oil fields
【24h】

Autonomous marine environmental monitoring: Application in decommissioned oil fields

机译:自主的海洋环境监测:在退役油田中的应用

获取原文
获取原文并翻译 | 示例
           

摘要

Hundreds of Oil & Gas Industry structures in the marine environment are approaching decommissioning. Inmost areas decommissioning operations will need to be supported by environmental assessment and monitoring, potentially over the life of any structures left in place. This requirement will have a considerable cost for industry and the public. Here we review approaches for the assessment of the primary operating environments associated with decommissioning - namely structures, pipelines, cuttings piles, the general seabed environment and the water column - and show that already available marine autonomous systems (MAS) offer a wide range of solutions for this major monitoring challenge. Data of direct relevance to decommissioning can be collected using acoustic, visual, and oceanographic sensors deployed on MAS. We suggest that there is considerable potential for both cost savings and a substantial improvement in the temporal and spatial resolution of environmental monitoring. We summarise the trade-offs between MAS and current conventional approaches to marine environmental monitoring. MAS have the potential to successfully carry out much of the monitoring associated with decommissioning and to offer viable alternatives where a direct match for the conventional approach is not possible. (c) 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
机译:海洋环境中数以百计的石油和天然气工业结构正在退役。在大多数地区,退役操作将需要环境评估和监测的支持,这可能会留在现有任何结构的使用寿命内。对于工业界和公众而言,此要求将产生可观的成本。在这里,我们回顾了与退役相关的主要操作环境(即结构,管道,碎屑桩,一般海床环境和水柱)的评估方法,并表明已经可用的海洋自治系统(MAS)提供了广泛的解决方案应对这一重大监控挑战。与退役直接相关的数据可以使用部署在MAS上的声学,视觉和海洋学传感器来收集。我们建议在节省成本和大幅改善环境监测的时空分辨率方面都具有巨大潜力。我们总结了MAS和当前常规海洋环境监测方法之间的权衡。 MAS有潜力成功进行与退役相关的大部分监控,并在无法与传统方法直接匹配的情况下提供可行的替代方案。 (c)2019作者。由Elsevier B.V.发布。这是CC BY许可下的开放获取文章(http://creativecommons.org/licenses/by/4.0/)。

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