Petroleum Science >2019,??Issue 4:??794-807 DOI: https://doi.org/10.1007/s12182-019-0350-6
Magnetic susceptibility inversion method with full tensor gradient data using low-temperature SQUIDs Open?Access
文章信息
作者：Yan-Fei Wang, Liang-Liang Rong, Long-Qing Qiu, D. V. Lukyanenko, A. G. Yagola
作者單位：
Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China; University of the Chinese Academy of Sciences, Beijing, China; Institutions of Earth Science, Chinese Academy of Sciences, Beijing, China; Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China; Physical FacultyLomonosov Moscow State University, Moscow, Russia
投稿時間：2018-07-26
引用方式：Wang, YF., Rong, LL., Qiu, LQ. et al. Pet. Sci. (2019) 16: 794. https://doi.org/10.1007/s12182-019-0350-6
文章摘要
Full tensor magnetic gradient measurements are available nowadays. These are essential for determining magnetization parameters in deep layers. Using full or partial tensor magnetic gradient measurements to determine the subsurface properties, e.g., magnetic susceptibility, is an inverse problem. Inversion using total magnetic intensity data is a traditional way. Because of difficulty in obtaining the practical full tensor magnetic gradient data, the corresponding inversion results are not so widely reported. With the development of superconducting quantum interference devices (SQUIDs), we can acquire the full tensor magnetic gradient data through field measurements. In this paper, we study the inverse problem of retrieving magnetic susceptibility with the field data using our designed low-temperature SQUIDs. The solving methodology based on sparse regularization and an alternating directions method of multipliers is established. Numerical and field data experiments are performed to show the feasibility of our algorithm.
關鍵詞
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Full tensor magnetic gradient, Susceptibility, Sparse regularization