3-D magnetic inversion with data compression and image focusing

We deve lop a met hod of 3-D magne tic anomaly inver­ sion based on traditional Tikhonov regulariza tion the­ ory. We use a minimu m support stabi lizing functional to gene rate a sharp , focused inverse image. An iterative in­ version process is const ructed in the space of weighted model parameters that accelerates the converge nce and robustness of the met hod. The weighting functions are selecte d based on sensitivity analysis, To spee d up the computations and to decrease the size of memory re­ quired , we use a compression technique based on cubic interpolation , Our method is designed for inversion of total mag­ netic anomalies, assuming the anomalous field is caused by induced magnetization only, The method is app lied to synthetic data for typica l mode ls of magnetic anomalies and is tested on real airborne data provided by Exxon ­ Mobi l Upstream Rese arch Company.