With a volatile price environment, increasingly challenging production conditions, and stricter regulatory standards, O&G companies face increasing pressure to improve revenue while reducing costs. See how Arundo's software can increase your equipment availability and production efficiency.
A major oil company sought to improve effectiveness of its equipment maintenance spend. Compressor failure accounted for a significant share of the company’s lost production, resulting in a strict routine maintenance policy on all gas compressors. Non-productive time dropped significantly, but planned maintenance events rose significantly.Case study
A chemical engineer by training, Delisa was formerly a production engineer at ConocoPhillips, and also led reliability engineering efforts for process manufacturers and refineries. At Arundo, she leads deliveries across the Americas.
Tailai brings years of applied data science experience in oil & gas reservoir and production situations. He holds a PhD in Computational and Mathematical Engineering, and previously led multi-disciplinary teams in numerical analytics projects for major oil & gas companies.
Morten is a former Partner at McKinsey & Co., where he worked extensively with oil & gas companies around the world for over a decade. He has led data analytics and machine learning implementations in oil & gas facilities across Europe.
"We were looking for a partner that had a mature solution for data analytics. We saw that Arundo was a perfect match. By pulling data with the mature solution that Arundo has, we are able to see tomorrow today."
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