AMT method with the economical and convenient superiority plays a key role in exploring the sandstone-type uranium deposits in China, which mainly meets to four problems such as the thickness of overlying strata, delineating the shape of the significant sand bodies, whether there are buried structures and knowing the basement relief. Exploring the sand body shape is the key one among such problems because sand body provides the room of uranium deposits and is the prerequisite for exploring uranium mineralization. Through an example of outlining the sandstone layer within the mudstone layers, the ability can be improved to recognize the electrical resistivity anomaly among the weak electrical property contrast by adjusting the inversion model's scale. A route to deal with the problem was given by inverting different scale models followed by checking whether the anomalies of each inversion are reliable. Finally, the geo-electrical model was to be determined by comparing results of different scale model.

By analyzing the characters of the mainstream commercial magnetotelluric inversion softwares in dealing with audio magnetotelluric data, a dynamic model-making method for inversion has been developed based on the observed AMT data. This method focusing on model domain can adjust mesh's scale and model's dimension depending on the field data just with a few parameters. By this, it is convenient to study the geo-electrical anomalies variations of different scale or dimensional models. Applying such model-making technique into the known hardrock geological setting, it is easy to obtain a new geo-electrical model which agrees with the resistivity curves of core samples better than before. It is demonstrated that this can increase the recognition of the resistivity contrast and deserves studying further.

Geological disposal is a feasible and safe method for dealing with the high-level radioactive waste problem at present. The Beishan area is the key area preselected for high-level radioactive waste geological disposal in Gansu Province, China. The Jijicao rock block is currently the most extensively studied area, where there are several fracture zones in borehole BS15. In 2011, a remarkable conductive anomaly near the BS15 was detected using a 4-km-long audio-magnetotelluric (AMT) profile with 50 m station space crossing the borehole. To study the anomaly, a short seismic survey was shot along the part of the AMT profile. This paper presents an example for detection of the fracture zones in granite using AMT and seismic methods at Beishan. The AMT data inversion model agrees with the borehole well-logging data and weak reflections are related to the fractured zones. The seismic detection may help in interpreting the cause of the conductive anomaly, and the conductive anomaly could determine whether there are fracture zones within the weak reflection areas. The simultaneous surveys can complement each other for detecting fracture zones. Besides this, such joint detection may be used to estimate whether there exist aquiferous fracture zones at depth.