ZZ Resistivity Imaging Pty. Ltd.
3.2 Data collection demonstration with screen shots display
1. Electrode checking interface
The first step of using FlashRES to collect data is to carry out an electrode check. This is to ensure no electrode is faulty connected to the ground. By clicking 'CHECK ALL', the instrument will automatically check the connection of all electrodes, and identify and display badly connected electrodes by flagging them with red dots in the window. Correctly connected electrodes will be flagged with green dots in the windows. There are 64 text boxes marked with sequential numbers in this window. These text boxes show the resistance for each electrode. These text boxes with red background indicate the corresponding electrodes are unconnected. The user needs physically check the badly connected electrodes in order to resolve the electrode connection issue.
2. Survey parameter setup interface
The second step of using FlashRES to collect data is to input parameters. There are only a few parameters the users need to input before moving to the next step. The key advantages of FlashRES are the ability for user to select multiple data collection arrays and collect them in a single run, and the ability to record full waveform data.
3. Survey arrays selection interface
Users can select multiple data collection arrays from this tab. Users can also specify the survey type as either surface survey or crosshole survey, and choose the exploration depth. Users can also upload their own data collection array by choosing 'YOUR OWN' box.
4. Survey data collection interface
After the user completes setting up the parameters and starts the survey, the user will be lead to the full waveform monitoring window. The user can view the current waveform in the top left window; 64 voltage values in the top middle window; 64 Q values (data quality factors) in the top right window, and 64 voltage waveforms in the bottom four windows. If the user finds that most of the Q values of the 64 voltage waveforms on the screen are more than 20, this also means that the data is too noisy, the user can pause the survey and investigate what is causing the noise.