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首页> 外文期刊>The Leading Edge >Passive acoustic monitoring (PAM) field trial during two wide-azimuth geophysical surveys
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Passive acoustic monitoring (PAM) field trial during two wide-azimuth geophysical surveys

机译:两次广角地球物理勘测中的被动声监测(PAM)现场试验

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摘要

Only through increased industry experience in the field can PAM capabilities and limitations be fully understood and improved. Additional PAM trials on commercial seismic surveys are crucial to further the development of acoustic monitoring and the ability to rapidly localize marine mammals. Additional work is also needed to understand detection distances and the likelihood of detecting certain kinds of marine mammals, such as bowhead whales, that are currently considered difficult to detect. In a multivessel environment, multiple exclusion zones can be centrally monitored if there is a reliable telemetry link. The ability to centrally conduct acoustic monitoring may reduce staffing levels on wide-azimuth seismic operations by eliminating the need for multiple PAM operators in a fleet. Centralized monitoring also increases the chances for localization from multives-sel detections and promotes monitoring standardization. Additional testing can determine the range limitations of existing telemetry systems and possibly further the development of more sophisticated telemetry links. Also, additional testing of telemetry methods for the transfer of visual and acoustic data between vessels should be pursued. At present, the centralized system requires manual interpretation of bearing data of animals from different vessels, but further development will allow this data to be fully incorporated into an automated method to localize vocalizing animals by triangulation.
机译:只有通过增加在该领域的行业经验,才能充分理解和改进PAM的功能和局限性。商业地震勘探的其他PAM试验对于进一步发展声波监测和快速定位海洋哺乳动物的能力至关重要。还需要额外的工作来理解检测距离和检测目前认为难以检测的某些种类的海洋哺乳动物(例如弓头鲸)的可能性。在多船环境中,如果存在可靠的遥测链路,则可以集中监视多个禁区。通过消除舰队中多个PAM运营商的需求,集中进行声学监控的能力可以减少广角地震作业中的人员配备水平。集中监控还增加了通过多容器检测进行本地化的机会,并促进了监控的标准化。附加测试可以确定现有遥测系统的范围限制,并可能进一步发展更复杂的遥测链路。另外,应进行遥测方法的其他测试,以在船只之间传输视觉和声音数据。目前,集中式系统需要人工解释来自不同容器的动物的方位数据,但是进一步的发展将允许将该数据完全合并到一种自动方法中,以通过三角测量来定位发声动物。

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