Maps and Cross-Sections in a CPI
Map Files and cross-sections are available in CPI files to help visualize spatial variability, perform QCs, and to build displays. These capabilities are also available in .map files, but with additional features such as the ability to import shape files, display annotations, and add overlays.
The video below demostrates how to do this in a CPI file.
Styling Maps and Cross-sections
Maps and cross-sections can be styled in may different ways to make your interpretation stand out, such as in the image below.
Screenshot of CPI showing maps, cross-sections, histogram, and crossplots.To learn how to do this, please see this video:
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?