2D to 3D Conversion
for Onshore Basin
Use Case
Transforming Scattered 2D Seismic into Structured Pseudo-3D Cubes
Business Challenge
Several onshore basins still rely on 2D seismic data, but limited spatial continuity and lack of volumetric coherence restrict its effectiveness for structural mapping, stratigraphic analysis, and early asset evaluation.
- Limited volumetric continuity, making it increasingly difficult to interpret subsurface structure, faults, and stratigraphy consistently across regions.
- Missed spatial coherence, primarily due to non-uniform line spacing and complete absence of lateral data between profiles.
- Incompatible data for attribute workflows, since 2D lines cannot support volumetric attribute analysis or advanced interpretation techniques.
- High risk in early-stage exploration, hindering accurate screening and asset valuation without 3D coverage.
The AI Approach
To address this challenge, the client used an AI powered workflow combining geodetic gridding and velocity modeling to convert sparse 2D seismic data into coherent pseudo-3D volumes for interpretation and attribute analysis.
- AI enhanced midpoint-based gridding and alignment unified scattered 2D seismic lines into a consistent spatial grid using interpolation and geodetic corrections.
- Curve-fitted velocity modeling applied regression techniques on check shot and well tie data to derive continuous velocity fields across the basin.
- Pseudo-3D cube generation for interpretation produced volumes compatible with Petrel and OpendTect, enabling attribute workflows and structural mapping.
- Integrated format conversion and delivery ensured final outputs included 3D SEG-Y volumes, navigation files, and QC diagnostics for downstream use.
Project Deployment Overview
Input Data Used
Over 1,000 km of 2D SEG-Y seismic lines combined with well log data from multiple field blocks.
Final Output Generated
Coherent pseudo-3D SEG-Y cubes with matching navigation files and quality control plots.
Deployment Platform
Executed using the SeisSense P3D Conversion Module with integrated velocity modeling engine.
Processing Scope
Included gridding, interpolation, denoising, velocity modeling, and 3D format conversion for interpretation-ready outputs.
Business Outcomes & Value Unlocked
The AI enabled 2D-to-3D seismic transformation workflow streamlined spatial gridding and velocity modeling, converting scattered legacy lines into coherent volumes—accelerating interpretation, improving structural clarity, and enabling early asset evaluation with reduced acquisition costs.
Improved Subsurface Visualization
Enabled early-stage reservoir screening and structural understanding across underexplored regions.
Reduced Acquisition CAPEX
Lowered need for immediate 3D seismic acquisition, reducing associated capital costs by 40%.
Faster Bidding & Evaluation
Delivered pseudo-volumes that supported lease bidding, volumetric estimates, and exploration prioritization.
Extended Value of Legacy Data
Revived historical 2D datasets for modern workflows, improving ROI on previously acquired data.