Case Study: Large Oil and Gas Company achieves up to 30% fuel and emissions reduction and 12–22% operational efficiency gains with Basetwo AI

A Basetwo AI Case Study

Preview of the Large Oil and Gas Company Case Study

Basetwo for the optimization of upstream operations and drilling

Large Oil and Gas Company needed to cut upstream operating costs and emissions while improving drilling and production reliability. They engaged Basetwo AI and used the Basetwo AI copilot platform to bring AI-driven optimization to generator scheduling, fuel consumption, production flows and well integrity across their rigs.

Basetwo AI extracted DCS and metering data, trained models to predict genset performance and load, and ran an optimization algorithm to produce dynamic generator schedules. Basetwo AI’s solution moved rigs from four generators at 20–40% load to two at 40–60%, improving operational efficiency by 12–22%, reducing fuel use and emissions by 20–30%, and cutting over 1,500 tons CO2 per rig annually (with GHG reductions >12% from recommended schedules).


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