Regional 2D Line Merging for NDR

Use Case

Creating Basin-Wide, Aligned, Merged 2D Seismic Layers

Business Challenge

Merging large 2D seismic datasets across basins is challenging due to varying coordinate systems, vintages, and inconsistent quality. These fragmented datasets hinder regional mapping, regulatory submissions, and collaboration.

The AI Approach

To tackle fragmentation across multiple vintages and basins, the client adopted an AI-powered seismic merging workflow to align, harmonize, and consolidate 2D seismic data into a unified, regionally consistent layer.

Project Deployment Overview

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Input Data Used

Handled SEG-Y rev 0/1 formats with varied EPSG codes; included overlap detection, reprojection, and velocity unification.

1

Final Output Generated

Reprojected SEG-Y volumes with aligned navigation, shapefiles, and velocity overlays, ready for interpretation and regulatory use.

2

Deployment Platform

Run via SeisSense Merge Tool, combining AI logic and manual QC for efficient line stitching and coordinate correction.

3

Processing Scope

Handled SEG-Y rev 0/1 formats with multiple EPSG codes; included overlap detection, reprojection, and velocity unification.

4

Business Outcomes & Value Unlocked

The AI-driven seismic merging workflow enabled the creation of a unified, georeferenced 2D layer across basins, streamlining regional interpretation, accelerating regulatory readiness, and supporting cross-operator collaboration with high-integrity seismic inputs.

Unified Regional Seismic Layer

Created a harmonized 2D dataset across basins and vintages, enabling regional structural mapping.

Faster Licensing Preparation

Reduced seismic data prep time by 75%, accelerating readiness for regulatory submissions.

NDR-Compatible Output

Delivered merged layers suitable for integration into national data repository portals.

Cross-Operator Alignment

Established a consistent seismic base for multi-operator analysis and collaboration.

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