摘要
深拖是深水工程勘察常用的工程物探调查设备之一,深拖系统搭载的换能器采集的数据常常存在定位数据不稳定造成测量结果误差增大、侧扫声呐图像呈现非海底底质因素造成灰度不均衡、海底跟踪不准确造成盲区消除不干净、拖体在水下起伏变化造成浅地层剖面中海底假起伏等问题。在自主程序开发的基础上开展了深拖数据处理关键技术研究,对深拖系统的定位数据进行了平滑归位处理,对浅地层剖面进行了归位矫正,对侧扫声呐图像中海底进行了重新追踪归位,并使用统计学方法对图像灰度进行了均衡。实际处理结果表明,本文方法有效地提高了深拖系统采集数据的质量和精度,能够满足深水油气构筑物工程设计和施工的需要。
Deep-tow （DT） system is common equipment for geophysical survey in deep water areas. There are some problems in transducer data collecting carried on the DT system, such as errors in meas- urement results caused by the unstable navigation data, gray imbalance presented by side scan sonar image caused by the unreal seabed sediment factors, inaccurate seafloor tracing of DT altitude which results in dead zone correction unclear, and seafloor distortions on sub-bottom profile due to the DT up and down movements, etc. Based on the independent development of computer program, research on the key technologies for data processing of DT systems was conducted. The navigation data of DT systems was smoothed, and the sub-bottom profile of the seabed was home processed. The seafloor in the side scan sonar image was retraced and the gray of the image in the sonar data was equilibrated by a statistical method. Practical results show that the methods in this paper effectively improved the data quality and accuracy of DT systems, and could meet the needs of oil and gas structure engineering design and con- struction in deep water areas.
出处
《中国海上油气》
CAS
CSCD
北大核心
2015年第6期116-121,共6页
China Offshore Oil and Gas
关键词
深拖系统
定位数据
侧扫声呐
灰度均衡
海底追踪
海底归位
deep-tow system
navigation data
side scan sonar
gray balance
seafloor tracing
seafloor homing
