Abstract

AbstractGridding of irregularly distributed potential field data is one of the first and most crucial steps in data analysis. This paper brings forward to realize the gridding of potential field data by using inverse interpolation based on the preconditioning conjugate‐gradient iterative algorithm. The gridding method adopts Gaussian weighted coefficients as the interpolation operator, Laplacian operator as the smooth filter, and the inverse of the smooth filter as the preconditioning operator. Experimental results on the synthetic model and the raw aeromagnetic data show that the method is suitable for the features of geophysical potential field, and is a computationally efficient and robust 2‐D method with high accuracy and perfect effects.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call