TOC Analysis Module
Purpose
The TOC Analysis modules provides several methods for estimating the total organic carbon (TOC) content of a system and convert it to a volume of kerogen.
Primary Outputs
The following curves are the primary interpretations made in this module.
| Curve Name | Description |
|---|---|
| TOC_FINAL | Final TOC result using method selected for zone |
| V_KER | Volume of kerogen derived from the TOC_FINAL curve |
Screenshot showing the well log tracks for the TOC Analysis module.Discussion
Users can make interpretation via several different methods. In general parameters can be set via drag and drop on log tracks or by typing parameters into the CPI Params tab. Most parameters and methods can be set on a zone-by-zone basis.
Several other curves are calculated en route to the primary outputs listed above. The table below lists some of the key results that you may want to compare among themselves.
| Curve Name | Description |
|---|---|
| TOC_SCHMOKER | TOC result from Schmoker method |
| TOC_SLOGR | TOC result from Passey sonic method |
| TOC_DLOGR | TOC result from Passey density method |
| TOC_NLOGR | TOC result from Passey neutron method |
| TOC_VERNIK | TOC result from Vernik method |
| TOC_FAUST | TOC result from Faust method |
| TOC_MOD_PASSEY | TOC result from Modified Passey method |
| TOC_COMBINED | TOC result from average of twelve empirical Schmoker-like methods |
In general when performing the interpretation it is best to identify the key properties in an inorganic shale interval and use those properties to set the key parameters for the methods of interest.
It is often useful to set the parameters for each of the methods to try and minimize the variance among methods. This will make it easier to change methods between wells if the data requires it.
The “Schlumberger method” for TOC to kerogen conversion has been reported to show good results from several clients.
An additional video for TOC interpretation can be found here.
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?