Lithofacies Module
Purpose
The Lithofacies module allows users to evaluate electrofacies clusters by both a K-means methodology and deterministically.
Primary Outputs
The following curves are the primary interpretations made in this module.
| Curve Name | Description |
|---|---|
| LITHOFACIES | Lithofacies via K-means clustering |
| DET_LITHOFACIES | Deterministic lithofacies categories |
Screenshot showing the well log tracks in the Lithofacies module.Discussion
In many cases it is useful to recognize when intervals have substantially similar log responses. This can help when identifying pay zones, determining where parameter choices may need to change, and understanding overall variations.
To help aid in the pattern recognition geologists and petrophysicists look to undertake Danomics provides two lithofacies evaluations.
- A k-means based lithofacies that can be performed using either a single well or multi-well model
- A deterministic lithofacies model that utilizes the log responses to broadly categorize the rock type.
These can either be used jointly or separately in your analysis. When using the K-means based model there are options to use either just the data from the key well to do the analysis or to use a multi-well model. For learning about the multi-well models, see these videos:
Danomics also has pre-trained multi-well models that 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?