Welcome to Danomics
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3D PROPERTY MODELLING TUTORIAL
PRODUCTION FORECASTING TUTORIAL
Getting Started
Thank you for choosing Danomics. Click on a link above to view the “Getting Started” guide for a product area. The tutorials include video content that demonstrates how to use that subset of the functionality within the platform. Most of the videos are under ten minutes in length and designed so that you can perform the interpretation either on our sample data or your own data.
If at any point in the process you need help, please contact us at support@danomics.com. Note that you can always get back to this page by selecting Help >> Welcome. You can access our full range of help articles here: Danomics Help Articles
Sample Data
For this tutorial you will need well log, well header, and formation tops data. You can download them using these links:
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.