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Whitepaper

10 Mistakes Oil & Gas Operators Should Avoid

Building a Digital Transformation Strategy
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From Buzzword to Priority

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Starting With Technology Instead of Operational Problems

Many operators begin by asking “what can AI do for us?” instead of “what is actually costing us production, throughput, energy, uptime, maintenance exposure, or operational risk?” This produces flashy pilots that never connect to a real operating challenge. 

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Digital Transformation as an IT Project Instead of an OT Problem

When transformation sits entirely within IT, it is disconnected from the operations it is meant to improve - and from the control systems, field assets, safety requirements, maintenance strategies, and engineering standards that govern production environments.

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Chasing Trends Instead of Sequencing a Roadmap

Generative AI, digital twins, autonomous inspection, robotics, and autonomous operations concepts are tempting to chase because they are visible and easy to market.

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Where digital tools genuinely help,
where they get in the way

Nearly every preceding failure mode - misaligned priorities, poor adoption, stranded pilots, disconnected roadmaps, OT security blind spots, weak data foundations, and solutions that ignore operating discipline - traces back to strategies built without real input from the people who will actually run these systems.

Despite $30-$40 billion

in enterprise investment into generative AI, 95% of organizations reported zero measurable return, while only 5% of integrated AI pilots extracted meaningful value.

An oil & gas

field’s production life generally ranges from 15 to 30 years after production begins, while large deposits can extend to 50 years or more.

Digital Transformation

could unlock approximately $1.6 trillion of value for the oil and gas industry, customers, and wider society.

87%

of those surveyed believed that they could detect an OT breach within 24 hours, while only 16% reported having continuous OT monitoring in place to support that confidence.

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Take a closer look at ten of the most common mistakes that we see that operators make across upstream, midstream and LNG operations, the data behind why they matter, and why avoiding them starts with listening to the people who run, maintain, optimize, and help protect the process every day. The gaps we want to close include:

  • Failing to Validate Assumptions With Real Users
  • Underestimating Brownfield Infrastructure and Data Debt
  • No Clear Ownership or Accountability
  • Underinvesting in Change Management

10 Mistakes Oil & Gas Operators Should Avoid

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