Four Steps to Advanced Data Science in the Oil and Gas Industry

Four Steps to Advanced Data Science in the Oil and Gas Industry

When it comes to advanced data science – including machine learning and AI – there’s a perception that energy is lagging behind other industries, like retail or technology. While understandable, especially given the sheer visibility of AI solutions like online recommendations or ride-sharing apps, it’s also a bit unfair. While…

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Author Profile
Senior Manager -

Stuart Robertson is a Senior Manager in L.E.K. Consulting’s London office, and leads L.E.K.’s Disruptive Analytics initiative. He has extensive experience across both public and private sectors, and has provided strategy and transaction support to clients in numerous industries.

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Managing Director and Partner -

Nilesh Dayal is a Managing Director and Partner in L.E.K. Consulting’s Houston office, and is head of the firm’s Oil & Gas practice. He has more than 20 years of experience advising clients on growth strategies related to acquisitions, new business ventures, corporate restructuring, supply chain management, profitability and operations improvement, and more.

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Franco Ciulla is a Principal in L.E.K. Consulting’s Houston office. He has 25 years of experience working in the oil and gas industry in technical, operational, commercial and strategic roles, with a focus on upstream activities and oilfield supply chain strategies.

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Senior Manager -

Amar Gujral is a Senior Manager in L.E.K. Consulting’s Houston office. He is focused on growth and commercial strategy, M&A, and due diligence in the energy sector.

Oil and gas operations are commonly found in remote locations far from company headquarters. Now, it's possible to monitor pump operations, collate and analyze seismic data, and track employees around the world from almost anywhere. Whether employees are in the office or in the field, the internet and related applications enable a greater multidirectional flow of information – and control – than ever before.

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