Welcome to Danomics: Seismic Interpretation
Getting Started with Seismic Interpretation in Danomics
This series of tutorial videos covers how to get started with seismic data and interpretation in Danomics. This article was written in March 2026 at the early beta release of Danomics Seismic and will be updated as new workflows and tools are added.
To execute on this tutorial you will need a seismic license. Trial customers must contact us at support@danomics.com and request a seismic license. Requests are typically processed on the same day.
Sample Data
This tutorial uses the Teapot Dome dataset. This public dataset contains both 2D and 3D seismic data as well as well header, well log, formations top, and deviation survey data. Although this tutorial only requires the 3D seismic data, for completeness we will load some of the other data types.
- 3D seismic data (segy)
- 2D seismic data (segy)
- Well log data (las)
- Well header data (xlsx)
- Formation tops data (xlsx)
- Deviation Surveys (xlsx)
- Coordinate projection (.prj)
Step 1: Loading 2D & 3D Seismic Data
To get started you will first need to upload some data to Danomics. In the video below we show how to upload 2D and 3D Seismic data and preview it.
Step 2: Setting the Projection
Setting the projection is crucially important when starting a 3D modelling project. This video shows how to set that at the project (folder) level.
Step 3: Bricking the 3D Seismic Data
In order to more efficiently work with our 3D seismic data we need to convert it to Danomics internal bricked format (.vol file). This video shows how we use a Flow to do this (example here).
Step 4: Well Data [optional]
In this optional step we show how to upload well log, well header, well tops, deviation survey, and shapefile data. It's okay to skip this step - if you do just skip over parts of the later videos where we use this data. We also show how to process the deviation survey data via a flow (example here).
Step 5: Creating a New Map
In this video we create a new map that will be the future for where we will make our seismic interpretations.
Step 6: Making a New Seismic Horizon
Now we will make a new seismic horizon and interpret it across a small number of inlines and cross-lines. We will also add real-time gridding to our display.
Step 7: Adding a Second Formations
In the previous video we made our initial seismic horizon and demonstrated how to pick a few lines. Now we are adding a second formation to our seismic horizon so we can pick a second marker.
Step 8: Time-to-depth Ties
To be released Q2 2026.
Step 9: Fault picking
To be released Q2/3 2026.
Summary
Congratulations on completing the Seismic Interpretation Welcome Tutuorial in Danomics. As we continue to grow and evolve the tools we will update this page regularly. If you have any questions or need any help, please contact us at support@danomics.com.
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.