Case Study: Enertel achieves smarter, faster energy investment decisions with TIBCO Software

A TIBCO Software Case Study

Preview of the Enertel Case Study

Enertel Enables Smarter Energy Decisions with Data Analytics and Intelligence

Enertel helps oil and gas companies, private equity lenders and investors reduce the high financial risk of upstream decisions in an industry where mistakes can cost seven figures. Faced with disparate geospatial, drilling and production datasets and a need to make faster, more confident investment and operational choices, Enertel provides data-driven tools and strategic advice to optimize assets and improve valuation accuracy.

Using TIBCO Spotfire as the analytics foundation, Enertel built its Quantum solution to unify data sources, apply machine learning and run Python/TERR models across a basin of more than 30,000 wells. Quantum automates repeatable workflows—cutting analyses from days to minutes or seconds—revealed a safer downspacing approach, and has helped prevent multi‑million‑dollar drilling and investment mistakes while enabling full well-to-basin production and economic evaluations.


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Enertel

Jonathan Henderson

Chief Analytics Officer


TIBCO Software

363 Case Studies