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Energy verified Verified Outcome TRL 9

Open Subsurface Data Universe (OSDU)

domain Client: A global energy supermajor handshake Provider: The Open Group / Microsoft Azure / AWS schedule Deploy: Q3 2019 (Open Source Launch)
94 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: Very High

Executive Summary

ANALYST: COI RESEARCH

Facing decades of proprietary data silos that made analyzing seismic and well data impossible, the company open-sourced its internal data foundation. This created the OSDU Forum, establishing a standardized industry governance model for subsurface data. It decouples data from applications, allowing any compliant app to read any compliant data.

rate_review Analyst Verdict

"A rare example of 'Governance by Open Source'. Instead of buying a tool, the entity changed the industry standard. By standardizing the metadata and API layer, they commoditized the data plumbing to compete on the analytics value."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

Geologists spent 80% of their time finding and formatting data and only 20% analyzing it. Seismic data formats were locked into proprietary vendor applications (e.g., Schlumberger, Halliburton), making it impossible to run cross-vendor AI models.

psychology The Solution

The company developed a cloud-native data platform with strict schema governance. They donated this code to The Open Group. The platform enforces a single set of APIs for ingesting, tagging, and accessing subsurface data, regardless of the cloud provider (Azure/AWS/GCP).

settings_suggest Technical & Deployment Specs

Integrations
OSDU APIs
Deployment Model
Multi-Cloud
Data Classification
Geospatial / Seismic
Estimated TCO / ROI
High (Initial Dev)
POC Summary (2018-01-01 to 2019-08-01)

"Internal development of 'SDU' before open sourcing."

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Adoption Inertia Medium Major cloud providers (Microsoft, AWS) offering managed OSDU services.
Legacy Data Migration High Automated ingestion pipelines.

trending_up Impact Trajectory

Audited value realization curve

Standardization of petabytes of seismic data Verified Outcome
Primary KPIReduction in application integration costs
Audit CycleAcceleration of exploration workflows

policy Compliance & Gov

  • Standards: GDPR, Local Data Residency
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: Geospatial / Seismic

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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The "Blind Verification" Protocol

How we verified these outcomes for A global energy supermajor without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-857
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-857

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