首页|基于机器学习的海上地震勘探航线规划算法研究

基于机器学习的海上地震勘探航线规划算法研究

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拖缆地震勘探作为海上地震勘探的重要方法,现阶段拖缆地震勘探航线规划过程中存在随意性大和工作效率低的问题.本文为改进存在的问题,提出一种基于专家经验法和机器学习的海上地震勘探航线优化算法.以工区前绘测线为研究对象,自动规划拖缆船航行线路,减少人为因素干扰,提高拖缆作业的工作效率,有利于海上油气田勘探效益最大化和可持续发展.
Research on intelligent algorithm of marine seismic exploration route optimization design based on machine learning
As an important method of offshore seismic exploration,towed-streamer exploration has the problems of high randomness and low efficiency in the process of streamer seismic exploration route planning at this stage.In order to improve the existing problems,this paper proposes an optimization algorithm for offshore seismic ex-ploration route based on expert experience method and machine learning.Taking the mapping line in front of the work area as the research object,the navigation route of the towboat is automatically planned to reduce the inter-ference of human factors and improve the working efficiency of the towline operation,which is conducive to the maximum benefit and sustainable development of offshore oil and gas field exploration.

marine seismic explorationtowed-streamer explorationroute planningmachine learning

崔焘、张昊楠、阮福明、闫佳琛、赵希昉

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中海油田服务股份有限公司物探事业部,天津市滨海新区 300459

海洋油气勘探国家工程研究中心

海上地震勘探 拖缆作业 航线规划 机器学习

2024

物探装备
中国石油集团东方地球物理勘探公司

物探装备

影响因子:0.141
ISSN:1671-0657
年,卷(期):2024.34(4)