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Creating 3D volume from multiple 2D lines
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A Pseudo-3D volume is a 3-dimensional seismic dataset created from 2D seismic lines, even though true 3D data was not acquired.
It is called “pseudo” because:
•It simulates a 3D cube
•But it is constructed from 2D profiles, not from dense 3D acquisition
•It is not a true amplitude-preserved 3D dataset
Think of it as stacking and interpolating multiple 2D lines into a 3D grid, giving interpreters a cube-like view where no actual 3D data exists.
Why Create a Pseudo-3D Volume?
You create a pseudo-3D volume when:
✔ You only have several 2D seismic lines (typical in exploration or old data)
✔ You want a 3D-like interpretation environment
✔ You want to visualize horizons and faults across lines
✔ You need to do:
•3D horizon mapping
•Structural modeling
•Fault framework building
•Depth conversion
•Early reservoir evaluation
•Visual QC of 2D alignment
A pseudo-3D cube is NOT used for:
•AVO analysis
•True amplitude studies
•3D inversion
•3D migration
Because it does not have true spatial fold or 3D acquisition geometry.
How a Pseudo-3D Volume Is Created?
1.Import multiple 2D lines into your (g-Platform) software
2.Convert each 2D line into an inline or crossline index
For example:
oLine 1 → Inline 100
oLine 2 → Inline 200
oLine 3 → Inline 300
3.Assign spatial coordinates
Each sample is placed at its true X,Y position.
4.Interpolate between lines (optional)
oLinear
oKriging
oGridding methods - This fills gaps between 2D lines.
5.Write a 3D cube file
Typically SEG-Y 3D or internal volume format.
Where Pseudo-3D Is Commonly Used?
•Early exploration blocks
•Old legacy basins
•Offshore basins with sparse 2D grids
•Areas where 3D acquisition is too expensive
•Government data packages (NDR, NPD etc.)
•Geological modeling of sparse datasets
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Spherical - this model assumes spatial continuity increases smoothly then becomes constant. Increases from 0 to full correlation and flattens at a distance called range.
Gaussian - Very smooth curve. Correlation drops slowly near the origin but decreases strongly
Exponential - represents noiser data and correlation drops rapidly at short distances however never reaches zero.
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There is no information available to this module so the user can ignore it.
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In this example workflow, we are reading multiple 2D lines by using "Read multi SEG-Y traces" module. The output dataitem will be connected to Create pseudo 3D volume.
Read multi SEG-Y traces must have load data to RAM as YES

For Parameters, we can automatically detect the Grid definition and Data length, DT from the action items menu.
Setup all the parameter and give an output file name against the Output file name parameter and execute the module.
Launch Vista items. It will generate, Inline, Crossline, Location map etc.

Test Kriging search radius and minimum number of points. These are the key parameters for the better interpolation.
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YouTube video lesson, click here to open [VIDEO IN PROCESS...]
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Yilmaz. O., 1987, Seismic data processing: Society of Exploration Geophysicist
* * * If you have any questions, please send an e-mail to: support@geomage.com * * *
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