中国有色金属学报(英文版)
Transactions of Nonferrous Metals Society of China
| Vol. 36 No. 3 March 2026 |
（a Department of Mathematical Sciences, Tsinghua University, Beijing 100084, China;
b State Key Laboratory of Critical Mineral Research and Exploration, Central South University, Changsha 410083, China;
c School of Geosciences and Info-Physics, Central South University, Changsha 410083, China;
d Hunan Key Laboratory of Non-ferrous Resources and Geological Hazard Detection, Changsha 410083, China;
e Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education, Central South University, Changsha 410083, China;
f Doerr School of Sustainability, Department of Earth and Planetary Sciences, Stanford University, Stanford, California 94305, USA）
Abstract:A three-dimensional (3D) electromagnetic (EM) inversion algorithm based on the nonlinear conjugate gradient (NLCG) method and a two-color plane Gauss-Seidel (GS) multigrid (MG) forward solver is developed to improve inversion efficiency. The results indicate that the computational efficiency of each inversion can be improved by approximately a factor of three by using the proposed MG solver. First, the accuracy of the MG solver is validated through a test on a synthetic model. Next, the numerical performance of the inversion algorithm is evaluated using this model. Finally, the inversion algorithm is applied to a field EM data collected at the Beiya gold polymetallic ore district. A 3D resistivity model is obtained, and the formation process of the metal ore is analyzed.
Key words: metallic minerals; electromagnetic data; gradient inversion method; multigrid solver
