mohammad hossein Ghalehnoee

SUMMARY Magnetization vector inversion (MVI) has attracted considerable attention in recent years since by this inversion both distribution of the magnitude and direction of the magnetization are obtained; therefore, it is easy to distinguish between the magnetic causative bodies especially when magnetic data are affected by different remanent magnetization. In this research, the compact magnetization vector inversion is presented: a 3-D magnetic modelling is proposed from surface data measurements to obtain compact magnetization distribution. The equations are solved in data-space least squares and the algorithm includes a combination of two weights as depth weighting and compactness weighting in the Cartesian system. The re-weighted compactness weighting matrix handles sparsity constraints imposed on the magnitude of magnetization for varying Lp-norms ($0 \le p \le 2$). The low value of the norm leads to more focused or compact inversion, and using a large value of p obtains a smo...

Magnetotelluric (MT) data was collected and interpreted over the entire Sabalan region locatedin the northwest of Iran with 212 sites in summer 1998 for exploration of Sabalan geothermal reservoir. Determinant of impedance tensor was solved for decreasing the effect of three dimensional structures. Three dimensional view and iso-resistivity profiles are extracted using Larsen’s 1-D inversion method. With the comparison of observed alteration from the wells drilled in Mouil's valley, observed thermometry and the best vertical 1-D resistivity profile fitted the wells; resistivity-depth model was extracted as a key model. So, other parts of the Sabalan geothermal area was explored refer to the key model. With this method, three significant regions surrounded the Sabalan caldera was elected for future works.