Mehanee Salah A, Essa Khalid S, Soliman Khaled S, Diab Zein E
Department of Geophysics, Faculty of Science, Cairo University, Giza, 12613, Egypt.
School of Earth Sciences, The University of Adeliede, Adelaide, SA, Australia.
Sci Rep. 2023 Aug 20;13(1):13548. doi: 10.1038/s41598-023-39672-8.
We describe a rapid imaging approach for the interpretation of self-potential data collected along profile by some geometrically simple model of cylinders and spheres. The approach calculates the correlation coefficient between the analytic signal (AS) of the observed self-potential measurements and the AS of the self-potential signature of the idealized model. The depth, electric dipole moment, polarization angle, and center are the inverse parameters we aim to extract from the imaging approach for the interpretative model, and they pertain to the highest value of the correlation coefficient. The approach is demonstrated on noise-free numerical experiments, and reproduced the true model parameters. The accuracy and stability of the proposed approach are examined on numerical experiments contaminated with realistic noise levels and regional fields prior to the interpretation of real data. Following that, five real field examples from geothermal systems and mineral exploration have been successfully analyzed. The results agree well with the published research.
我们描述了一种快速成像方法，用于通过一些几何形状简单的圆柱体和球体模型来解释沿剖面收集的自然电位数据。该方法计算观测到的自然电位测量值的解析信号（AS）与理想化模型的自然电位特征的AS之间的相关系数。深度、电偶极矩、极化角和中心是我们旨在从成像方法中为解释模型提取的反演参数，它们与相关系数的最高值有关。该方法在无噪声的数值实验中得到了验证，并重现了真实的模型参数。在解释实际数据之前，在受实际噪声水平和区域场污染的数值实验中检验了所提出方法的准确性和稳定性。随后，成功分析了来自地热系统和矿产勘探的五个实际野外实例。结果与已发表的研究结果吻合良好。
