Curve Normalization Module
Purpose
The Curve Normalization Module enables users to normalize curves to a standard data range for use in subsequent interpretation modules and calculations. Normalization can be performed relative to the key well, a fixed data range, or spatially via the use of grid interpolation.
Primary Outputs
The following curves are the primary interpretations made in this module:
| Curve | Description |
|---|---|
| gr_norm | Normalized gamma ray |
| resd_norm | Normalized deep resistivity |
| rhob_norm | Normalized bulk density |
| nphi_norm | Normalized neutron porosity |
| pe_norm | Normalized photoelectric factor |
| dt_norm | Normalized compressional sonic |
| sp_norm | Normalized spontaneous potential |
Screenshot showing curve normalization module and associate average gamma ray grid.Discussion
For the GR, SP, RhoB, Nphi, Resistivity, DT, and PE curves the user has the option to specify a normalization method. Available methods are:
- Simple shift: Align the data in non-key wells to the key well, based on a specified percentile value (e.g., align the GR in all wells to the p50 of the key well).
- Simple scale: Align the data in non-key wells to the key well, based on a low and high specified percentile values (e.g., stretch and squeeze the GR in all wells to the p10 and p90 of the key well).
- Advanced scale: Align the data in non-key wells to the key well, based on a low, middle, and high specified percentile values (e.g., stretch and squeeze the GR in all wells to the p10, p50, and p90 of the key well).).
- Scale to fixed range: Align the data such that a low percentile and high percentile in each well have a specified value (i.e., the p10 will have a value of 20 and the p90 will have a value of 150).
QC of results can be conducted by maps and cross-sections. The associated maps include:
| Grid | Description |
|---|---|
| avg_gr_final | Average GR by formation |
| avg_rhob_final | Average RhoB by formation |
| avg_nphi_final | Average Nphi by formation |
| avg_pe_final | Average PE by formation |
| avg_dt_final | Average DT by formation |
| gr_norm_rms | Root mean square of GR normalization |
| sp_norm_rms | Root mean square of SP normalization |
| rhob_norm_rms | Root mean square of RhoB normalization |
| nphi_norm_rms | Root mean square of Nphi normalization |
| resd_norm_rms | Root mean square of ResD normalization |
| dt_norm_rms | Root mean square of DT normalization |
| pe_norm_rms | Root mean square of PE normalization |
Cross-section templates are available for each of the curves available for normalization. For example, the QC template for the gamma ray normalization is "GR Normalization QC".
Additional videos 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?