CM4模型在南海南部某工区磁测数据重处理中的应用

doi:10.11720/wtyht.2025.1336

摘要
图/表
参考文献
相关文章
Metrics

全文: PDF(2275 KB) HTML
输出: BibTeX | EndNote (RIS)

摘要

在对南海历史磁测数据进行整编时,发现南部某区处理后的磁测数据精度较差,从而影响整体数据使用效果。通过分析发现,数据精度低主要由日变改正误差大引起的,需要对该组数据的日变改正方法进行改进,随后进行数据重处理。本文重新收集各种可用的地磁观测台站数据,根据地磁变化场特性,综合使用CM4模型法、回归分析法以及两者相结合的基于CM4模型数据样本控制的回归分析法及3种算法对工区内测量时段地磁日变数据进行模拟,重新对历史磁测数据进行日变改正,并使用地磁指数对磁扰时段数据进行细致删减,重处理后的数据精度有较大提升,解决了该区历史磁测数据精度差的问题,并为南海海域相关磁测数据精细化重处理提供了新的工作思路。

	服务

	把本文推荐给朋友
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	张向宇
	张瑶
	邢琮琮

关键词 ：海洋磁测, 南海南部, 数据重处理, 日变改正, CM4模型, 回归分析

Abstract：

During the reorganization of historical magnetic survey data for the South China Sea, it was found that the processed magnetic survey data of a specific area in the southern South China Sea exhibited low accuracy, affecting the effectiveness of data use. Data analysis reveals that the low accuracy was primarily caused by the significant errors in diurnal correction. Therefore, it is necessary to modify the diurnal correction method and reprocess the data. Based on the recollected data from various available geomagnetic observation stations and the variations of the geomagnetic field, this study simulated the magnetic diurnal variations in the study area during the survey period using three algorithms: the CM4 model, regression analysis, and regression analysis based on the data sample control of the CM4 model. The historical magnetic survey data were recorrected for diurnal variations, with data affected by magnetic disturbances removed based on geomagnetic indices, significantly enhancing data accuracy. This study addresses the problem of low accuracy in historical magnetic survey data in the study area, providing a novel approach for the fine-scale reprocessing of magnetic survey data related to the South China Sea.

Key words： marine magnetic survey southern South China Sea data reprocessing diurnal correction CM4 model regression analysis

收稿日期: 2024-08-09 修回日期: 2024-12-17 出版日期: 2025-12-20

ZTFLH:

P631.4

基金资助:中国地质调查局项目(DD20221912)

引用本文:

张向宇, 张瑶, 邢琮琮. CM4模型在南海南部某工区磁测数据重处理中的应用[J]. 物探与化探, 2025, 49(6): 1311-1318.
ZHANG Xiang-Yu, ZHANG Yao, XING Cong-Cong. Application of the CM4 model in reprocessing magnetic survey data of a study area in the southern South China Sea. Geophysical and Geochemical Exploration, 2025, 49(6): 1311-1318.

链接本文:

https://www.wutanyuhuatan.com/CN/10.11720/wtyht.2025.1336 或 https://www.wutanyuhuatan.com/CN/Y2025/V49/I6/1311

Fig.1 部分测线磁异常平面剖面

Table 1 地磁观测台站下载数据信息统计

Fig.2 2021年某航次测量时段内日变数据对比

Fig.3 样本时段内不同方法推算结果对比

Fig.4 样本时段内不同方法推算结果偏差值示意

Fig.5 2013年航次某测量时段内3组推算结果对比

Table 2 3种方法计算结果偏差统计

Fig.6 3种方法计算结果偏差对比

Table 3 处理后磁异常交点差统计

Fig.7 重处理前后工区磁异常平面等值线

[1]	中华人民共和国国家质量监督检疫总局. 海洋调查规范第8部分:海洋地质地球物理调查:GB/T1276.8—2007[S]. 北京: 中国标准出版社, 2008.
[1]	Specificationsforoceanographicsurvey:Part8:Marinegeologyandgeophysicssurvey:GB/T1276.8—2007[S]. Beijing: Standards Press of China, 2008.
[2]	姚俊杰, 暴景阳, 孙毅, 等. 地磁日变数据幅值关系分析与应用[J]. 海洋测绘, 2006, 26(6):6-9.
[2]	Yao J J, Bao J Y, Sun Y, et al. Analyzingand applying the relation of amplitude value between the magnetic diurnal variations[J]. Hydrographic Surveying and Charting, 2006, 26(6):6-9.
[3]	边刚, 刘雁春, 卞光浪, 等. 海洋磁力测量中多站地磁日变改正值计算方法研究[J]. 地球物理学报, 2009, 52(10):2613-2618.
[3]	Bian G, Liu Y C, Bian G L, et al. Research on computation method of multi-station diurnal variation correction in marine magnetic surveys[J]. Chinese Journal of Geophysics, 2009, 52(10):2613-2618.
[4]	卞光浪, 刘雁春, 翟国君, 等. 基于纬差加权法的海洋磁力测量多站地磁日变改正值计算[J]. 测绘科学, 2010, 35(3):118-120.
[4]	Bian G L, Liu Y C, Zhai G J, et al. Diurnal geomagnetic correction with multi-observatories in marine magnetic surveying[J]. Science of Surveying and Mapping, 2010, 35(3):118-120.
[5]	张向宇, 关永贤, 张锡林. 回归分析法在日变数据推算中的应用[J]. 物探与化探, 2016, 40(3):603-608.
[5]	Zhang X Y, Guan Y X, Zhang X L. The application of regression to estimating geomagnetic data[J]. Geophysical and Geochemical Exploration, 2016, 40(3):603-608.
[6]	牛超, 卢世坤, 祁树锋. 基于EEMD和改进Elman神经网络的地球变化磁场短时预测[J]. 河北师范大学学报:自然科学版, 2014, 38(1):50-54.
[6]	Niu C, Lu S K, Qi S F. Prediction of the geomagnetic variation field based on modified ensemble empirical mode decomposition and modified Elman neural network[J]. Journal of Hebei Normal University:Natural Science Edition, 2014, 38(1):50-54.
[7]	牛超, 李夕海, 易世华, 等. 地磁变化场的MEEMD-样本熵-LSSVM预测模型[J]. 武汉大学学报:信息科学版, 2014, 39(5):626-630.
[7]	Niu C, Li X H, Yi S H, et al. Forecasting model of geomagnetic variation field based on modified ensemble empirical mode decomposition-sample entropy-least square support vector machine[J]. Journal of Wuhan University:Information Science Edition, 2014, 39(5):626-630.
[8]	牛超, 刘代志, 王跃钢, 等. 基于克里格重构的区域地磁变化场短时预测模型[J]. 中国惯性技术学报, 2014, 22(4):492-497.
[8]	Niu C, Liu D Z, Wang Y G, et al. Regional geomagnetic short-term forecasting model based on Kriging reconstruction method[J]. Journal of Chinese Inertial Technology, 2014, 22(4):492-497.
[9]	刘帆, 吴晓平, 肖凡. 磁扰日日变改正的最小二乘谐波建模实现方法[J]. 测绘科学技术学报, 2016, 33(6):582-587.
[9]	Liu F, Wu X P, Xiao F. The method realizing diurnal correction with harmonic model created by least square method in magnetically disturbed day[J]. Journal of Geomatics Science and Technology, 2016, 33(6):582-587.
[10]	邢琮琮, 徐行, 陆镜辉, 等. 南海北部陆海台站地磁观测与磁场模型计算的对比分析[J]. 华南地震, 2019, 39(4):60-68.
[10]	Xing C C, Xu X, Lu J H, et al. Comparative analysis of geomagnetic observation and magnetic field model calculation for land and marine stations in the northern South China Sea[J]. South China Journal of Seismology, 2019, 39(4):60-68.
[11]	邢琮琮, 徐行. 地磁场模型在海洋磁测资料处理中的应用研究[J]. 海洋地质与第四纪地质, 2020, 40(3):214-221.
[11]	Xing C C, Xu X. Application of geomagnetic field model to marine magnetic data processing[J]. Marine Geology & Quaternary Geology, 2020, 40(3):214-221.
[12]	刘晓刚, 徐婧林, 张素琴, 等. 地磁日变数据确定中顾及纬度和经度方向影响的双因子定权方法[J]. 武汉大学学报:信息科学版), 2020, 45(10):1547-1554.
[12]	Liu X G, Xu J L, Zhang S Q, et al. Bifactor weight determination method considering the influence of latitude and longitude in the calculation of diurnal variation of geomagnetic data[J]. Journal of Wuhan University:Information Science Edition, 2020, 45(10):1547-1554.
[13]	马晓宇, 欧阳永忠, 唐旭, 等. 顾及经纬度影响的多站地磁日变改正值计算[J]. 海洋技术学报, 2020, 39(6):77-78.
[13]	Ma X Y, Ouyang Y Z, Tang X, et al. The correction of multi-station geomagnetic diurnal variation by the position changing on the components of latitude and longitude[J]. Journal of Ocean Technology, 2020, 39(6):77-78.
[14]	张向宇, 关永贤, 王功祥. 海洋磁测中单台站地磁数据补缺方法探讨[J]. 海洋技术学报, 2020, 39(6):17-24.
[14]	Zhang X Y, Guan Y X, Wang G X. Discussion on the method of geomagnetic data supplement for single station in marine survey[J]. Journal of Ocean Technology, 2020, 39(6):17-24.
[15]	潘星辰, 姚长利, 郑元满, 等. 海洋磁测日变校正的纬度改正方法研究[J]. 地球物理学报, 2020, 63(8):3025-3036.
[15]	Pan X C, Yao C L, Zheng Y M, et al. Study on latitude correction method of diurnal variation correction for marine magnetic survey[J]. Chinese Journal of Geophysics, 2020, 63(8):3025-3036.
[16]	卢兆兴, 吕志峰, 李婷, 等. 基于BP神经网络的地磁变化场预测研究[J]. 大地测量与地球动力学, 2021, 41(3):229-233.
[16]	Lu Z X, Lyu Z F, Li T, et al. Forecasting of the variable geomagnetic field based on BP neural network[J]. Journal of Geodesy and Geodynamics, 2021, 41(3):229-233.
[17]	Bartels J, Heck N H, Johnston H F. The three-hour-range index measuring geomagnetic activity[J]. Terrestrial Magnetism and Atmospheric Electricity, 1939, 44(4):411-454.

[1]	李兴康, 付永涛, 周章国, 杨安. 地磁日变不同时段特征差异及对地磁日变改正的影响[J]. 物探与化探, 2023, 47(1): 135-145.
[2]	高姗, 王文博, 崔志伟, 张琦洁, 闫红雨, 高维. 基于地磁坐标的多地磁台站日变改正方法[J]. 物探与化探, 2022, 46(6): 1518-1522.
[3]	王正科, 卢琳, 刘花婷. 一种实测重力异常区域场的消除方法[J]. 物探与化探, 2021, 45(6): 1569-1577.
[4]	梁亚林, 原文涛. 测井预测煤层气含量及分布规律——以山西省沁水煤田为例[J]. 物探与化探, 2018, 42(6): 1144-1149.
[5]	张向宇, 关永贤, 张锡林. 回归分析法在日变数据推算中的应用[J]. 物探与化探, 2016, 40(3): 603-608.
[6]	周国华, 孙彬彬, 贺灵, 白金峰, 曾道明, 候树军, 刘占元. 安溪土壤-茶叶铅含量关系与土壤铅临界值研究[J]. 物探与化探, 2016, 40(1): 148-153.
[7]	徐广袖, 任来平, 吴太旗, 李凯锋. 基于梯度数据的远海日变处理方法[J]. 物探与化探, 2015, 39(S1): 63-66.
[8]	王万银, 任飞龙, 王云鹏, 纪晓琳, 李建国, 李倩. 重力勘探在沉积型铝土矿床调查中的应用研究[J]. 物探与化探, 2014, (3): 409-416.
[9]	张鹏志, 李兰斌. 地震纹理分析在油气勘探中应用进展[J]. 物探与化探, 2013, 37(3): 461-466.
[10]	胡晓隆, 张德权. 应用回归分析进行盐矿工业品位预报[J]. 物探与化探, 2006, 30(2): 137-140.
[11]	龙凡, 韩天成. 激电法在地下水探测中的应用效果[J]. 物探与化探, 2002, 26(6): 422-424,432.
[12]	刘国庆, 石才艳, 刘江. 含钙储层测井响应特征分析[J]. 物探与化探, 2002, 26(5): 395-397.
[13]	杨进, 曲维娟. 激电法预报地下涌水量的回归分析方法研究[J]. 物探与化探, 1997, 21(5): 371-376.
[14]	陈曜岑. 利用测井资料研究和评价盖层的封闭性能[J]. 物探与化探, 1995, 19(3): 186-194.
[15]	曾繁超, 徐凤曾, 郑建屏. 用测井方法原位测定矿层品位[J]. 物探与化探, 1994, 18(5): 339-352.

Viewed

Full text

Abstract

Cited

Shared

Discussed