Key Takeaways
-
AI modernizes operations: From reservoir discovery to ESG reporting, AI creates faster, safer, and more efficient processes when paired with EPM platforms that serve as the single source of truth.
-
ERP and AI turn insights to outcomes: Predictive analytics flow directly into workflows across procurement, supply chain, and finance, ensuring decisions turn into better business outcomes.
-
Predictive maintenance delivers fast returns: Early interventions reduce rig shutdowns, improve safety, and cut costs.
-
Scalable solutions: Pilots can be launched in weeks, with phased rollouts for compliance, HSE, and enterprise integration.
Use Cases: How AI Brings Value to Oil and Gas
Predictive Maintenance
Equipment failures on rigs are costly and potentially dangerous. However, Oracle AI anticipates IoT sensor data enabling maintenance teams to intervene before breakdowns occur. Then Oracle ERP systems automatically trigger procurement or work orders.
Oracle EPM adds another layer by modeling how reduced downtime improves budgets, forecasts, and margins. The result is both immediate savings and long-term performance gains.
Safety, ESG, and Compliance
Safety and sustainability are no longer optional in oil and gas. AI improves risk detection with drones, sensors, and computer vision, while ERP and EPM systems provide the governance framework to log, report, and ensure compliance.
Operators can now meet regulations, improve safety, and reduce environmental impact without slowing operations.
Real Time Optimization and the Connected Enterprise
Drilling optimization is one of the most compelling applications of AI. Real time analysis of surface and downhole data allows crews to adjust parameters instantly, improving well placement and reducing non-productive time.
EPM forecasting closes the loop by simulating production scenarios, accounting for market fluctuations, and aligning financial plans with operational performance. Leaders can connect field performance directly to strategic planning.
Exploration and Asset Management
Exploration has always been high-cost and high-risk. AI accelerates this process by analyzing seismic data, satellite imagery, and decades of geological reports to identify reservoirs with greater accuracy. This reduces exploration expenses and extends the life of mature fields.
When combined with ERP systems, these insights go directly into procurement, project planning, and capital allocation.
Oracle’s Strategy: Built-In, Not Bolted On
Oracle does not treat AI as an add on. It is built directly into ERP and EPM platforms so that predictive insights connect seamlessly to procurement, finance, and reporting workflows.
Recent innovations include:
- Oracle Database 23ai: Built-in vector search and semantic queries to combine SQL and AI-driven insights.
- Multi-cloud deployment: Run Oracle AI solutions within AWS, Azure, or OCI for flexibility and reduced latency.
- Ecosystem strength: Partnerships with NVIDIA and AI specialists to accelerate performance and deployment.
Where to Begin
- Define your goal. Decide whether you want to reduce downtime, improve ESG reporting, or optimize exploration.
- Unify your data. EPM platforms provide the single source of truth that fuels effective AI adoption.
- Start with a pilot. Predictive maintenance often provides the fastest measurable results.
- Scale responsibly. Integrate AI into ERP and EPM workflows with governance and compliance frameworks for enterprise wide adoption.
EPMI’s Key Insights
AI, ERP, and EPM are reshaping oil and gas by turning data into smarter decisions. The fastest wins come from predictive maintenance and drilling optimization, but the real value is in scaling those insights across the enterprise.
At EPMI, we help organizations start with clear goals, unify their data, and empower leaders to make better business decisions using Oracle’s built-in AI and enterprise solutions.
FAQs
1. Do we need new sensors to adopt AI?
Not always. Many companies already have rich data streams—success depends on organizing and structuring them effectively.
2. How quickly can we see results?
Prototypes can deliver value in weeks. Scaling to production requires phased integration with ERP, supply chain, and compliance systems.
3. Can Oracle AI work outside OCI?
Yes. Through partnerships, Oracle Database and AI services can run in AWS, Azure, or GCP regions while keeping the benefits of Oracle’s expertise and efficiency.
4. What makes Oracle AI stand out?
Oracle AI is built into ERP and EPM systems, combining decades of data expertise with innovations like Database 23ai and strong industry partnerships to deliver secure, scalable solutions.