Driving Trusted Subsurface Data for AI at Scale: Enforcing Data Quality Thresholds and Governance in ADNOC's Data Foundation and ENERGYai
Abstract As subsurface data platforms increasingly power artificial intelligence (AI), machine learning (ML), and agentic workflows, advisory or post-hoc quality control (QC) is insufficient to prevent non-compliant data from propagating at scale. This paper presents ADNOC's enforceable governance and quality framework...