3D inversion imaging of self-potential current source induced by mineral polarization  

矿体极化自然电位电流源三维反演成像

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作  者:Li-juan ZHANG Yi-an CUI Jing XIE Jian-xin LIU 张丽娟;崔益安;谢静;柳建新(中南大学地球科学与信息物理学院,长沙410083;有色资源与地质灾害探查湖南省重点实验室,长沙410083;中南大学有色金属成矿预测与地质环境监测教育部重点实验室,长沙410083;北京大学地球与空间科学学院,北京100871)

机构地区:[1]School of Geosciences and Info-physics,Central South University,Changsha 410083,China [2]Hunan Key Laboratory of Nonferrous Resources and Geological Hazard Detection,Changsha 410083,China [3]Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring,Ministry of Education,Central South University,Changsha 410083,China [4]School of Earth and Space Sciences,Peking University,Beijing 100871,China

出  处:《Transactions of Nonferrous Metals Society of China》2025年第3期945-953,共9页中国有色金属学报(英文版)

基  金:supported by the National Natural Science Foundation of China(No.42174170)。

摘  要:An innovative gradient inversion approach employing the natural element method within the framework of least square regularization was proposed to enhance the quantitative interpretation of self-potential(SP)data originating from mineral polarization.The results indicated that the natural element method effectively addressed the challenge of subdividing complex resistivity models and aided in the accurate forward calculation of SP.By applying this approach to synthetic SP data and lab-measured SP data associated with redox electrochemical half-cell reactions of iron−copper metal blocks within the geobattery model,the 3D fine structure of buried orebody models was successfully reconstructed and the spatial distribution of SP current sources was mapped.This study significantly contributes to understanding the quantitative relationship between the polarization process of metal deposits and their corresponding SP responses and provides a valuable reference for delineating metal deposits in both terrestrial and marine environments through SP surveys.提出一种基于自然单元法的最小二乘正则化自然电位精细梯度反演方法以提高矿物极化自然电位数据的定量解释效果。结果表明,自然单元法有效解决了复杂电阻率模型的剖分问题,便于开展自然电位精细正演计算。通过将该梯度反演算法应用于合成数据以及铁铜金属块氧化还原监测实验测量数据,成功重构了埋藏矿体模型的三维精细结构,并绘制了自然电位电流源的空间分布图。本研究有助于了解金属矿床极化过程与其自然电位响应之间的定量关系,为自然电位法圈定陆地及海底金属矿床提供有益参考。

关 键 词:mineral polarization SELF-POTENTIAL natural element method gradient inversion 

分 类 号:P61[天文地球—矿床学]

 

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