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Traditional magnetic inversion is based on the total magnetic intensity data and solving the corresponding mathematical physical model. In recent years, with the development of the advanced technology, acquisition of… Click to show full abstract
Traditional magnetic inversion is based on the total magnetic intensity data and solving the corresponding mathematical physical model. In recent years, with the development of the advanced technology, acquisition of the full tensor gradient magnetic data becomes available. We study the inversion of magnetic parameters using the full tensor gradient magnetic data. A Tikhonov regularization model with bounded constraint is established. An improved preconditioned conjugate gradient method with projections onto convex set is used to solve the minimization model. Numerical simulations are performed on two-dimensional (2D) and three-dimensional (3D) synthetic data to show the feasibility of our algorithm.
Journal Title: Inverse Problems in Science and Engineering
Year Published: 2017
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