Automated SEGY QC Reporting

Use Case

Instant Quality Control and Compliance Validation for SEG-Y files

Business Challenge

Manual SEG-Y QC processes were time-consuming, error-prone, and inconsistent, delaying compliance checks, data onboarding, seismic readiness, and reducing trust during exchanges with regulators or partners.

Lack of standardized QC workflows resulted in inconsistent quality checks across seismic datasets, especially in multi-vintage and multi-format files.
Manual inspection delays significantly impacted regulatory submissions, internal approvals, and data room readiness for critical projects.
Incomplete or incorrect metadata headers led to frequent compliance violations with standards like PPDM and national data repositories.
Undetected anomalies in coordinates and sample intervals posed serious risks for interpretation accuracy and geophysical processing.

The AI Approach

To overcome these challenges, the client deployed an AI-based QC workflow that automated header standardization, anomaly detection, and compliance validation across thousands of SEG-Y files.

Used EBCDIC parsing and trace header maps to extract and normalize metadata across SEG-Y rev 0 and rev 1 formats.
Applied machine learning to detect coordinate outliers, irregular sample intervals, and missing trace values.
Validated header fields and metadata structure against regulatory and internal standards using rule-based automation.
Generated HTML and Excel summary reports with issue flags, integrated into NDR portals via API for seamless handoff.

Project Deployment Overview

Input Data Used

Processed over 50,000 SEG-Y files, including 2D and 3D surveys in rev 0 and rev 1 formats from multiple basins.

Final Output Generated

Generated QC summary reports in HTML and Excel formats with automated flagging of metadata and coordinate issues.

Deployment Platform

Delivered through Python-based backend with RESTful API integration for NDR systems and internal QC dashboards.

Processing Scope

Enabled header parsing, trace-level anomaly detection, and PPDM compliance validation for batch datasets.

Business Outcomes & Value Unlocked

The AI-driven seismic QC workflow eliminated manual bottlenecks in SEG-Y validation, delivering rapid, standardized quality checks that improved data readiness, built regulatory trust, and streamlined compliance for faster onboarding and exchange across exploration teams.