Setting up Zones in a CPI
In Danomics the petrophysical interpretation is done zone-by-zone. By default your zones are equivalent to your tops. However, in many cases you may wish to define zones that do not include all of your tops or that more rigorously enforce the stratigraphy - doing so will yield more consistent results.
Please see this video for how to set zones in a CPI.
Why use zones?
Zones allow you to define the stratigraphy consistently across your project. Example use cases for zones include:
- Reducing the number of zones that are displayed in the parameter entry table, zone list for maps, and that are exported in a CPI summary
- Allowing multiple tops to define the top or base of a zone, and in a designated order of priority.
- Handle changes in stratigraphy such as pinchouts, unconformities, and on-lapping.
- Changing the displayed name for a zone in the parameter entry table, maps list, and CPI summary.
- Prioritizing tops from multiple interpreters
Tips and Tricks
- Take the time at the beginning of a project to properly define a specified top and base for each zone – this will lead to more consistent outcomes.
- Disable zones instead of deleting them. This will keep your parameters and allow you to quickly/easily change what zones are visible.
- Do not change your zone ID unless absolutely necessary.
- If zones aren’t visible in the parameter list for a well, check if the zone is enabled/disabled. If enabled, check to see if there are overlapping zones.
- When using multiple tops to define a zone, try to ensure that the immediately adjacent zones also have consistent definitions.
Related Insights
DCA: Type well curves
In this video I demonstrate how to generate a well set filtered by a number of criteria and generate a multi-well type curve. Before starting this video you should already know how to load your data and create a DCA project. If not, please review those videos. Type well curves are generated by creating a decline that represents data from multiple wells.
DCA: Loading Production data
In this video I demonstrate how to load production and well header data for use in a decline curve analysis project. The first step is to gather your data. You’ll need: Production data – this can be in CSV, Excel, or IHS 298 formats. For spreadsheet formats you’ll need columns for API, Date, Oil, Gas, Water (optional), and days of production for that period (optional). Well header data – this can be in CSV, Excel, or IHS 297 formats.
Sample data to get started
Need some sample data to get started? The files below are from data made public by the Wyoming Oil and Gas Commission. These will allow you to get started with petrophysics, mapping, and decline curve analysis. Well header data Formation tops data Deviation survey data Well log data (las files) Production data (csv) or (excel) Wyoming counties shapefile and projection Wyoming townships shapefile and projection Haven’t found the help guide that you are looking for?