Oil & gas regulators and national data repositories often operate under strict data security mandates. These environments require either fully air-gapped setups or deployments within tightly controlled private clouds.
SeisSense™ is designed for full deployment flexibility—allowing seismic data processing and QC workflows to run securely in high-compliance settings without sacrificing performance or automation capabilities.
Deployment Modes
- On-prem server (Linux/Windows): Deployed directly on local machines in controlled server rooms or data centers.
- Private cloud (AWS VPC, Azure Gov, OpenStack): Compatible with government-grade virtual networks to ensure compliance with regional data residency laws.
- Kubernetes or Docker deployment: Supports containerized, scalable deployment for integration into enterprise DevOps ecosystems.
- CLI or web app (Streamlit-based): Offers both command-line scripting and user-friendly interfaces depending on the team’s workflow needs.
- Flexible storage support: Compatible with PostgreSQL databases, MinIO object storage, and flat file systems for adaptability across IT setups.
Case: West African NDR
- SeisSense™ was implemented in a secure, air-gapped Linux cluster within a West African National Data Repository.
- The system processed over 10TB of legacy and recent seismic data using built-in 5D interpolation and LAS file quality control workflows.
- This was achieved entirely without internet access—ensuring full compliance with the regulator’s internal cybersecurity protocols.
SeisSense™ enables secure, high-performance seismic data processing for regulators and national archives—combining automation strength with robust offline operation.
Key Takeaways
- Highly suitable for government institutions and sensitive operator environments with strict security controls.
- Runs fully offline after installation, making it ideal for air-gapped and disconnected infrastructure setups.
- Engineered with Python, PostgreSQL, and open-source technologies for future-ready flexibility and integration.