Example Flow: Processing Deviation Surveys
This Flow covers how to use a Flow to process your deviation surveys. The Flow uses the following tools:
- PointsInput >> Brings the deviation surveys data into the Flow
- DeviationsToXYZ >> Processes the deviations
- PointsOutput >> Writes the flow to a new points database
The PointsInput is where you select your import deviations survey. You should import deviation surveys in a format similar to what is shown here with columns for API, MD, Inclination, and Azimuth.
The DeviationsToXYZ tool puts the deviations into the format Danomics uses internally for all displays, mapping, and gridding operations. All you need to do in this tools is ensure your column names match the options. PointsOutput will write the result, which will look like the following.
Tips and Tricks
- Make sure to process your deviations before you do any of the other gridding flows the require deviations or before using them in a petrophysics project.
- Make sure that the input / output have distinct names!
Related Insights
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?
NMR Interpretation Module
Purpose The NMR interpretation module allows users to calculate porosity, bound and free fluids from the measure T1 and T2 distributions from NMR tools. Primary Outputs Discussion In oil and gas well logging, the $T_2$ distribution is used as a high-resolution "map" of the formation's pore system. While a standard porosity tool tells you how much fluid is there, NMR tells you where that fluid is trapped and whether it will flow.
General Concepts in Flows
Because Flows will be a new concept to many of you it is important to understand the general concepts that flows are built upon. These concepts are: Many tasks are repetitive These tasks should be done consistently These tasks can often be split into small pieces. What Are Flows? Flows are batch processing system that combine Flow tools to perform operations consistently across a dataset, and are especially useful for repetitive tasks like gridding data.