In upstream energy, every second counts. Engineers and analysts require rapid, transparent insights to inform critical decisions about production forecasting, asset planning, and operational strategy. But when teams rely on fragmented processes, the result is often slow, inconsistent, and frustrating.
Occidental Petroleum (Oxy), one of the largest oil and gas producers in the U.S., faced this exact challenge. With thousands of wells across major onshore basins, Oxy’s teams were using a patchwork of tools for forecasting and surveillance. This resulted in delays in processing well data, limited transparency across teams, and a struggle to align on a single version of the truth.
Oxy’s internal data science team decided to take a bold step: standardize and scale their entire approach with the Spotfire® visual data science platform.
The results: Faster, smarter, more transparent
With Spotfire, Oxy built two powerful analytic applications that are now foundational to their business:
- Production Outlook Tool (POT) – Standardizes monthly production forecasting across 5,000+ wells, integrates well test data, and provides real-time transparency into forecast assumptions.
- Comparator Surveillance Tool (CST) – Benchmarks performance across 100,000+ wells, integrating internal and third-party data for lightning-fast comparisons across thousands of parameters.
The impact has been game-changing:
- Load times cut from 15 minutes to under 9 seconds
- 500+ users across disciplines now operate from a single, trusted version of the data
- Transparent, auditable forecasting that empowers engineers, managers, and executives to move faster with confidence
As Oxy production engineer Mario Ortiz-Torres puts it:
“We’re not just building reports; we’re building robust tools that people rely on to do their jobs better and faster.”
Check out the Oxy Demo from the Spotfire Energy Forum Hackathon to see how visualization makes smarter geothermal decisions possible.
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