3-D probability density imaging of Euler solutions using gravity data: a case study of Mount Milligan, Canada

• Published in: Acta geophysica Vol. 72; no. 5; pp. 3371 - 3391
• Main Authors: Cao, Shujin, Deng, Yihuai, Yang, Bo, Lu, GuangYin, Zhu, Ziqiang, Chen, Peng, Xie, Jingtao, Chen, Xinyue
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 2024; Springer Nature B.V
• Subjects: Algorithms; Deconvolution; Density distribution; Earth and Environmental Science; Earth Sciences; Geophysics/Geodesy; Geotechnical Engineering & Applied Earth Sciences; Multilayers; Parameter estimation; Potential fields; Research Article - Applied Geophysics; Structural Geology; Tensors; Canada; B-spline density estimation; Euler deconvolution; Probability density imaging; Full tensor gravity gradient

Euler deconvolution is a widely used automatic or semi-automatic method for potential field data. However, it yields many spurious solutions that complicate interpretation and must be reduced, eliminated, recognized, or ignored during interpretation. This study proposes a post-processing algorithm t...