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Application of AIS data in service vessel activity description in the Gulf of Mexico

机译:AIS数据在墨西哥湾服务船活动描述中的应用

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摘要

Offshore exploration and production in the Gulf of Mexico (GOM) is supported by a large number of service vessels characterized by complex logistical patterns, a large number of shorebases and demand points across an expansive geographic area, and dynamic time-varying activities. No quantitative data is available on the spatial and temporal distributions of service vessel activity in the GOM, and therefore environmental impacts from offshore leasing plans cannot be distinguished. It is this 'information gap' in support of Environmental Impact Statements that is the motivation for this analysis. Automatic Identification System data is used in a proof-of-concept to evaluate offshore service vessel activity in the GOM during June 2009. Vessel events are identified and aggregated by port, area block, vessel type and event class. In total, 46276 arrivals and departures between onshore and offshore locations in the GOM were recorded. Vessel movements between ports were the most active and a large portion of these events are attributed to towing vessels and tug boats. Offshore support vessels and crewboats recorded the most vessel events in offshore areas. A summary of the empirical results are presented along with the key aspects of data processing, evaluation challenges and limitations of analysis.
机译:墨西哥湾(GOM)的近海勘探和生产得到大量服务船的支持,这些服务船具有复杂的后勤模式,跨越广阔地理区域的大量岸基和需求点以及动态时变活动。没有关于GOM中服务船活动的时空分布的定量数据,因此无法区分来自海上租赁计划的环境影响。支持环境影响声明的这种“信息鸿沟”是进行此分析的动机。在概念验证中使用自动识别系统数据来评估2009年6月GOM中近海服务船的活动。根据港口,区域,船只类型和事件类别来识别和汇总船舶事件。在GOM中,总共记录了46276个陆上和海上位置之间的进场和离场。港口之间的船只运动最为活跃,其中大部分事件归因于拖船和拖船。离岸支援船和乘员船在离岸地区记录了最多的船只事件。总结了经验结果,以及数据处理,评估挑战和分析局限性的关键方面。

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