BI-to-AI migration for upstream oil and gas
Move your oil and gas reporting from traditional BI to AI.
We replace workflows in Spotfire, Power BI and Tableau with AI-powered reporting and analysis for upstream oil and gas. We connect your data, carry forward your business logic, build the applications, and support them.
Still your Spotfire team. Ready for what comes next.
Blue River has supported Spotfire customers since 2014. We now help upstream teams move reporting and analysis workflows to AI while preserving the business logic they depend on. Spotfire consulting and training remain available.
Workflows we can move
Keep the business logic. Improve how the work gets done.
Migration starts with workflows your team relies on. We connect the data, carry forward calculations and business rules, build the application and reporting, then validate outputs against reference results agreed with your team.
Production/accounting reconciliation
Recurring engineering reports
How we deliver
From workflow scope to a supported handover.
Scope the workflow
Agree on the reporting workflow, its data sources and business logic, and the reference results used to validate it.
Build and validate
Integrate the required data, build the application and reporting, and check outputs against the agreed reference results.
Transition and support
Deploy, train users and hand over the work. Ongoing monthly support is optional.
Implementation work
A practical migration, built around your workflow.
- Source integrations
Connect the data sources needed for the reporting workflows in scope.
- Reusable business logic
Carry forward calculations and business rules with clear documentation.
- AI applications and reporting
Build practical applications and reporting around the workflows your team uses.
- Validated outputs
Compare results against reference outputs agreed with your team.
- Deployment and transition
Deploy, train users, and hand over the work, with optional monthly support.
Engagement and pricing
Scoped project fee
Each migration is scoped around the selected workflow and delivery requirements. Optional monthly support can be arranged after handover.
Technology choices
Customer SQL Server/Azure, Snowflake or Databricks environments can provide data and compute. Claude, ChatGPT or Microsoft AI are options selected according to requirements.
Keep trusted data and calculations in view
AI does not replace source systems. We validate outputs against agreed reference results rather than relying on unverified arithmetic.
Historical analytics and data experience
Santos Alaska, Pikka Phase 1
Historical data landscape work for the Pikka Phase 1 development on Alaska's North Slope. The work took 10 weeks from start to final readout, covered 8 source systems, identified 32 reporting gaps, and produced a 10-month implementation roadmap.
10 weeks
Start to final readout
8 systems
Source systems covered
32 gaps
Reporting gaps identified
10 months
Implementation roadmap
“We are already using your recommendations in the first phases of the implementation plan.”
Start a conversation
Talk about your migration
Tell John about the reporting workflow you want to move, the systems it depends on and the business logic it needs to preserve.
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Teams we have worked with since 2014
- Devon Energy
- EOG Resources
- SM Energy
- Diamondback Energy
- ConocoPhillips
- Magnolia Oil & Gas
- Continental Resources
- Hilcorp
- EQT
- Range Resources
- Matador Resources
- Santos
- Antero Resources
- Permian Resources
- Williams
- Liberty Energy
- Northern Oil & Gas
- Comstock Resources
- ONEOK
- Talos Energy
- Crescent Energy
- Whitecap Resources
- Black Stone Minerals
- Canadian Discovery
- Lario Oil & Gas
- Marubeni Oil & Gas
- Infinity Natural Resources
- Evercore
- Piper Sandler
- Anschutz Exploration