Example Flow: Bricking Seismic Data
This Flow demonstrates how to brick 3D Seismic data into a .vol format that can be displayed more efficiently.
This Flow uses the following tools:
- SegyInput >> Retrieves the 3D seismic data
- BrickOutput >> Writes the data in brick format
The SegyInput tool retrieves the 3D seismic data, provides a preview of the Textual and binary headers, and allows you to do the mapping. Custom bin gridding can be applied as needed.
BrickOutput allows for writing the new .vol file out.
Tips and Tricks
- Always double check the header mappings.
- Ensure the .sgy file is a 3D seismic volume
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.