Geophysical Resistivity Tomography System Multi Channels 2D 3D Resistivity Imaging System Multi Electrodes Subsurface Imaging System For Mineral Investigation
The Multi Channels Electrodes Resistivity Meter is to determine the distribution range, buried depth, and electrical conductivity of the underground electrical anomalous object by observing and studying the distribution rules of the underground current field artificially established. Since the 3D Electrical Resistivity Tomography Equipment injects fast pulse current into the ground and superimposes the observation of the underground current field distribution, its observation accuracy and resolution are extremely high.
Features:
One machine with multiple functions: the transmitter and receiver can be used as a single-channel IP instrument, or as a two-dimensional electrical resistivity imaging system
Intelligent and efficient: Using tablet computer Windows system , eighteen array work modes can be directly displayed in the multi electrodes measurement mode; meanwhile, curves, color pictures, etc. can be displayed in real time during work.
Large storage: the instrument's measurement data is stored in the tablet memory, which can store the data of multiple survey lines, and the stored data can be directly transferred to the computer via Bluetooth or tablet data cable for digital interpretation of various methods.
Flexible application: Supports simultaneous measurement of resistivity and polarizability, can also perform single-point measurement, and compensate for unreliable data.
Internet of Things: The network platform can be used to transmit the measured data back to the base for timely interpretation and processing.
Specification:
| Transmitting |
| Maximum power |
7200W(VES),2400W(Imaging) |
| Maximum voltage |
1200V(VES),2400 peak-to-peak; 800V(Imaging), 1600 peak-to-peak |
| Maximum current |
6A(VES), 3A(Imaging) |
| Power supply pulse width |
1~60s, duty cycle is 1:1 |
The multi channels electrical resistivity imaging method is effective and accurate in detecting faults, but the detection effect of reverse faults is obviously better than normal faults. The 3D electrical resistivity method has abundant data and large inversion depth, and the results are closer to the theoretical model. The field measured data further verify the simulation results, and the conclusions obtained have certain guiding significance for fault detection, interpretation and analysis
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