Technical Tips: Tip #1
Fast Horizon Picking
VisualVoxAt’s automatic waveform picking tools can simplify the horizon picking process and reduce your interpretation time! VisualVoxAt’s waveform picker will accurately and quickly pick a horizon through any data.
The most important part of horizon picking is correctly setting the parameters for your data.
The horizon picking tools are accessed from the horizon picking toolbar in section or 3D view.
To display the horizon tracking parameters for any auto-picking mode,
click on the Horizon Tracking Parameters icon 
.
To set the tracking parameters for the horizon picker:
Select the Tracking Mode:
- Event
- Waveform
Set the waveform Cross-Correlation parameters.
Note: You can only edit these parameters if you have selected Waveform tracking mode.
The cross-correlation option allows you to alter the quality factor for this pick. The higher the value, the more that the pick will stay focused on the original pick.
Set the Search Window parameters. Here, you can narrow the search window to increase the accuracy of your pick and to prevent picks from 'jumping' to other events.
Click Apply.
Here are some techniques for using auto picking:
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For Faulted Environments: Increase the cross-correlation window to about 60 ms, and increase the quality factor to about 95%. Also, you need to switch between the largest and closest radio buttons, depending on the geological situation.
Also when picking, you must manipulate the size of the search windows, depending on how faulted the data is. In addition, the dip/trace window must be increased, depending on how much dip is in your data.
For Stratigraphic Environments: Keep the cross-correlation window to about 30 ms to 60 ms, and have the quality factor to about 90%. As well, the Largest radio button is the optimal choice for a stratigraphic situation.
In General: For picking faulted environments, your correlation values will be higher and your search windows will fluctuate depending on the throw of your fault. The dip is completely dependent on the dip of the data.
For stratigraphic situations, the defaults are usually adequate. If the processing is unusually rough, the correlation parameters need to be increased, and the search windows need to be decreased.