From Workflows to Value: Anchoring OSDU in Business Impact

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Authors: A. Krishna, J. Jackson
Cited by: 0

Abstract

Summary OSDU is positioned as a decision-centric operating model rather than a platform rollout. The approach anchors on enterprise key performance indicators (KPIs): cycle time to plan, nonproductive time and deferment, lifting cost, and carbon intensity per barrel of oil equivalent (BOE). Architectural choices are explicitly tied to a decision to accelerate or a risk to mitigate. Value is measured at the decision point using leading indicators such as decision latency, input freshness, and provenance completeness, and lagging business outcomes including replan rate, deferment hours, mean time to repair (MTTR), variance to authorization for expenditure (AFE), and carbon intensity per BOE. Three levers, timeliness, coverage, and trust, translate shared definitions, governed access, lifecycle states, and full provenance into operational gains. Execution spans three domains. In well planning, reviews shift from document reconciliation to decision traceability, yielding faster approvals and tighter AFE variance. In production operations, an end-to-end traceable event lifecycle improves MTTR, asset utilization, and production deferment. In reservoir surveillance, a disciplined update cadence reduces forecast bias and accelerates corrective action. Governance is lean and roles clear, with minimal role groups, quality tiers, and strong partner alignment to common OSDU definitions. A monthly value review builds, proves, and scales what works.

Fields of Study & Subjects

Big Data and Business Intelligence Digital Transformation in Industry Information Technology Governance and Strategy

Publication details

Journal / source
EAGE Digitalization Conference & Exhibition
Pages
1–5
Publication date
1 January 2026