3D regularized focusing inversion of gravity data with a new stabilizing functional

Regularized focusing inversion has been proposed to generate clearer and more focused images of geological structures with sharp boundaries. It is based on special stabilizing functionals called minimum support (MS) functional and minimum gradient support (MGS) functional. In this paper, we have developed a new stabilizing functional that minimizes the area where strong model parameter variations and discontinuity occur. Compared with the MS stabilizer, the new stabilizer presented in this paper greatly reduces computing cost by reducing the number of iterations. Finally, we apply the new stabilizer to synthetic 3D gravity data to prove the effectiveness and efficiency of the method.