Volumes, also referred to as volumetric data or voxel grids, represent 3D spatial datasets structured as a grid of volumetric cells (voxels). Each voxel contains a data value, such as geological properties, geophysical measurements, or simulation results, making this data type essential for subsurface modeling, resource estimation, and scientific visualization.

Importing Volumetric Data

Volume-Specific Features & Visualization

For features specific to volumes, please see the Volume Inspector. These include various 3D visualization controls, such as threshold-based data filtering, different rendering modes, and volume slicing in X, Y, and Z directions.

Use Cases

Volumetric data is widely used for:

Point-based rendering of a volume.

Point-based rendering of a volume.

Trilinear rendering of a volume.

Trilinear rendering of a volume.

Example of two active volume slices along the X and Y axes, with the Z-slice inactive. The 3D volume representation is hidden using “Invert Threshold” on a threshold covering the full data range.

Example of two active volume slices along the X and Y axes, with the Z-slice inactive. The 3D volume representation is hidden using “Invert Threshold” on a threshold covering the full data range.

Close up of a threshold-filtered volumes visualized using a transparent colormap that allow for a better comparison with volume slices.

Close up of a threshold-filtered volumes visualized using a transparent colormap that allow for a better comparison with volume slices.

To learn more about how to work with volumes in LiquidEarth, we recommend the following related entries:

Other related entries: