重磁场二度体边缘深度反演研究进展  

Research on edge depth inversion of 2D geological body based on gravity and magnetic field

作　　者：王万银[1,2,3,4] 罗新刚 WANG Wan-Yin;LUO Xin-Gang(Institute of Gravity and Magnetic Technology,Chang'an University,Xi'an 710054,China;College of Geology Engineering and Geomatics,Chang'an University,Xi'an 710054,China;Key Laboratory of Western China's Mineral Resources and Geological Engineering,Ministry of Education,Chang'an University,Xi'an 710054,China;National Engineering Research Center of Offshore Oil and Gas Exploration,Beijing 100028,China;Department of Earth Sciences,Memorial University of Newfoundland,Newfoundland A1B3X5,Canada)

机构地区：[1]长安大学重磁方法技术研究所,陕西西安710054 [2]长安大学地质工程与测绘学院,陕西西安710054 [3]长安大学西部矿产资源与地质工程教育部重点实验室,陕西西安710054 [4]海洋油气勘探国家工程研究中心,北京100028 [5]Department of Earth Sciences,Memorial University of Newfoundland,Newfoundland A1B3X5

出　　处：《物探与化探》2023年第3期547-562,共16页Geophysical and Geochemical Exploration

基　　金：国家重点研发计划项目“航空地球物理综合处理解释方法研究及软件开发”(2017YFC0602202)、“中国近海盆地潜在富油凹陷资源潜力、成藏机制与突破方向研究”;中央高校基本科研业务费专项资金——长安大学优秀博士学位论文培育资助项目。

摘　　要：地质体边缘深度对重磁位场勘探半定量解释起着至关重要的作用。目前主要的地质体边缘深度反演方法有沃纳(Werner)反褶积法、解析信号振幅法(ASA)、局部波数法(local wave-number)、Tilt-depth法、欧拉(Euler)反褶积法和曲率属性(curvature attributes)反演法。这几类方法都存在解的筛选问题、稳定性问题和适应性问题。本文主要对不同类型数据和模型的适应性问题进行研究,基本原理分析和模型试算结果表明:沃纳反褶积方法和欧拉反褶积方法适用的数据源类型最多,曲率属性适用的数据源类型次之,Tilt-depth最少;沃纳反褶积方法、欧拉反褶积方法和曲率属性方法能够适应较多的模型,Tilt-depth能够适应的模型最少。对于重力数据,垂向一阶导数的解析信号振幅作为数据源适用于所有方法。对于磁力数据,解析信号振幅作为数据源适用于所有方法。同时,建议其他学者在使用这些方法反演二度体边缘深度时,遵循以下原则:反演方法推荐优先使用沃纳反褶积,其次是曲率属性和欧拉反褶积。沃纳反褶积方法和欧拉反褶积方法的重力数据源推荐使用垂向一阶导数的水平导数,磁力数据源推荐使用水平导数。曲率属性方法的重力数据源推荐使用垂向一阶导数的解析信号振幅,磁力数据源推荐使用解析信号振幅。另外,基于以上的研究结论,对边缘深度反演中解的筛选问题、稳定性问题和适应性问题在未来的研究方向中给出了一些建议。The edge depth of geological body plays a crucial role in the semi-quantitative interpretation of gravity and magnetic potential field exploration.At present,the main inversion methods of geological body edge depth mainly include Werner deconvolution method,analytical signal amplitude method,local wave number method,Tilt-depth method,Euler deconvolution method and curvature attribute inversion method.These methods all have problems of solution selection,stability and adaptability.This paper mainly studies the adaptability of different types of data and models.Through basic principle analysis and model test,the results show that Werner deconvolution method and Euler deconvolution method are applicable to the most types of data sources,followed by curvature attribute,and Tilt-depth is the least;Werner deconvolution method,Euler deconvolution method and curvature attribute methods can adapt to many models,the Tilt-depth is least.For gravity data,the analytical signal amplitude of the first vertical derivative as the data source is applicable to all methods.For magnetic data,the analytical signal amplitude as data source is applicable to all methods.At the same time,it is suggested that other scholars should follow the following principles when using these methods to invert the edge depth of the two-dimensional body:It is recommended that Werner deconvolution is preferred,followed by curvature attribute and Euler deconvolution.The gravity data source of Werner deconvolution method and Euler deconvolution method is recommended to use the horizontal derivative of the first vertical derivative,and the magnetic data source is recommended to use the horizontal derivative.The gravity data source of curvature attribute method is recommended to use the analytical signal amplitude of the first vertical derivative,and the magnetic data source is recommended to use the analytical signal amplitude.In addition,based on the above research conclusions,some suggestions on the future research directions of the solution screening,stab

关 键 词：二度体 边缘深度 解的筛选 稳定性 适应性 

分 类 号：P631[天文地球—地质矿产勘探]