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实时观测系统,用于监测石油钻探作业对海洋生态系统的环境影响。

Real time observation system for monitoring environmental impact on marine ecosystems from oil drilling operations.

机构信息

Institute of Marine Research, Bergen, PO Box 1870, Nordnes, 5817 Bergen, Norway.

Institute of Marine Research, Bergen, PO Box 1870, Nordnes, 5817 Bergen, Norway.

出版信息

Mar Pollut Bull. 2014 Jul 15;84(1-2):236-50. doi: 10.1016/j.marpolbul.2014.05.007. Epub 2014 Jun 4.

DOI:10.1016/j.marpolbul.2014.05.007
PMID:24908516
Abstract

Environmental awareness and technological advances has spurred development of new monitoring solutions for the petroleum industry. This paper presents experience from a monitoring program off Norway. To maintain operation within the limits of the government regulations Statoil tested a new monitoring concept. Multisensory data were cabled to surface buoys and transmitted to land via wireless communication. The system collected information about distribution of the drilling wastes and the welfare of the corals in relation to threshold values. The project experienced a series of failures, but the backup monitoring provided information to fulfil the requirements of the permit. The experience demonstrated the need for real time monitoring and how such systems enhance understanding of impacts on marine organisms. Also, drilling operations may improve by taking environmental information into account. The paper proposes to standardize and streamline monitoring protocols to maintain comparability during all phases of the operation and between drill sites.

摘要

环境意识和技术进步推动了石油工业新监测解决方案的发展。本文介绍了挪威监测项目的经验。为了在政府法规规定的范围内运营,挪威国家石油公司测试了一种新的监测概念。多传感器数据通过电缆传输到海面浮标,并通过无线通信传输到陆地。该系统收集了有关钻井废物分布和珊瑚福利的信息,以了解阈值。该项目经历了一系列失败,但备份监测提供了满足许可证要求的信息。该经验表明需要实时监测以及此类系统如何增强对海洋生物影响的理解。此外,通过考虑环境信息,钻井作业也可以得到改善。本文提出了标准化和简化监测协议的建议,以在作业的所有阶段以及在各个钻井地点之间保持可比性。

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引用本文的文献

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PLoS One. 2022 Feb 22;17(2):e0263061. doi: 10.1371/journal.pone.0263061. eCollection 2022.
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Automated multivariate analysis of multi-sensor data submitted online: Real-time environmental monitoring.在线提交的多传感器数据的自动多变量分析:实时环境监测。
PLoS One. 2018 Jan 12;13(1):e0189443. doi: 10.1371/journal.pone.0189443. eCollection 2018.
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Direct Visualization of Mucus Production by the Cold-Water Coral Lophelia pertusa with Digital Holographic Microscopy.
利用数字全息显微镜直接观察冷水珊瑚扁枝螅的黏液分泌情况。
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PLoS One. 2015 Jul 28;10(7):e0134076. doi: 10.1371/journal.pone.0134076. eCollection 2015.