We present an open source 3-D, MATLAB based, resistivity inversion package. The package uses a finite volume discretization to solve the forward partial differential equation. We include a highly efficient approach to reducing boundary effects and source electrode singularities. Solving of the forward problem is achieved by using a preconditioned bi-conjugate stabilized gradient method. For the...

By means of a series of borehole resistivity measurements and a resistivity±salinity relation, a particular salt-freshwater inversion was found under the shore with semi-diurnal tides at the French±Belgian border. These resistivity data provide valuable information about the vertical variation of the saltwater percentage in di€erent boreholes. At di€erent places and depths ̄uctuations of freshwa...

There is low resistivity contrast between reservoir zone and host formation in geothermal fields, especially in areas where the technique of water injection is being carried out. Therefore, in low contrast area, permittivity can be one of the important reservoir indicators besides resistivity. In this study, one EM tomography method of reconstructing the resistivity and permittivity from electr...

[1] The magnetotelluric dataset collected on the San Andreas Fault at Parkfield has been re-analyzed using superior inversion algorithms that have been developed in recent years. A combination of constrained inversion, forward modeling and synthetic inversion studies are used, and show that at the SAFOD site, the low resistivity fault zone extends to a depth of 2–3 km. An extended zone of low r...

In this paper, modular neural network (MNN) inversion has been applied for the parameters approximation of the gravity anomaly causative target. The trained neural network is used for estimating the amplitude coefficient and depths to the top and bottom of a finite vertical cylinder source. The results of the applied neural network method are compared with the results of the least-squares stand...