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 |
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
Quick Start Module
Purpose The Quick Start module is designed to help users quickly set dozens of common parameters by selecting a handful of basic options from dropdown menus. Parameters There are three parameters that are set on a zone-by-zone basis and two parameters that are set on a full-well basis. These are as follows. Discussion The parameters are linked to what are called named_defaults in the software. These are collections of defaults that can be set through assigning a single parameter.
Making Log Calculations in a Flow
This articles provides an overview of how to use a Flow to before basic log calculations. To do this, the following Flow tools are used: LogInput >> Bring the log data into the Flow LogMath >> Perform some calculation LogOutput >> Writes the log data to a new log database. There can be as many LogMath tools added to a flow as one would like, and they can be added to existing Flows ushc as a Log Clean-up Flow. The LogMath tool is extremely flexible.
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?