Guest Column

The case for smarter CUI inspections in the energy sector

A new generation of technology is making it faster, safer, and more cost-effective to identify CUI. Courtesy photo

Corrosion under insulation (CUI) accounts for roughly 60% of pipeline leaks in the U.S. oil and gas sector. Yet many operators still rely on outdated inspection methods that are slow, risky, and economically unsustainable.

This year, widespread budget cuts and layoffs across the sector are forcing refineries to do more with less. Efficiency is no longer a goal; it’s a mandate. The challenge: how to maintain safety and reliability without overextending resources?

Fortunately, a new generation of technologies is gaining traction in the oil and gas industry, offering operators faster, safer, and more cost-effective ways to identify and mitigate CUI.

Hidden cost of corrosion

Corrosion is a pervasive threat, with CUI posing the greatest risk to refinery operations. Insulation conceals damage until it becomes severe, making detection difficult and ultimately leading to failure. NACE International estimates the annual cost of corrosion in the U.S. at $276 billion.

Compounding the issue is aging infrastructure: roughly half of the nation’s 2.6 million miles of pipeline are over 50 years old. Aging infrastructure increases the urgency and the cost of inspections.

So, the question is: Are we at a breaking point or an inflection point? The answer depends largely on how quickly the industry can move beyond inspection methods that no longer match today's operational or economic realities.

Legacy methods such as insulation stripping, scaffolding, and manual NDT are slow, hazardous, and offer incomplete coverage. With maintenance budgets tightening, these methods are no longer viable.

Why traditional inspection falls short

Without question, what worked 50 years ago no longer works today. Traditional inspection methods are slow, siloed, and dangerously incomplete.

Insulation removal:

  • Disruptive and expensive.
  • Labor-intensive and time-consuming, with a high risk of process upsets and insulation damage.
  • Limited coverage. Often targets a small percentage of piping, leaving large areas unchecked.
  • Health risks: Exposes workers to hazardous materials such as asbestos or fiberglass.

Rope access and scaffolding:

  • Safety hazards. Falls from height remain a leading cause of injury.
  • Restricted time and access. Weather, fatigue, and complex layouts limit coverage and effectiveness.
  • High coordination costs. Multiple contractors, complex scheduling, and oversight, which require continuous monitoring, documentation, and compliance assurance across vendors and protocols drive up costs.

Spot checks:

  • Low detection probability. Random sampling often fails to detect localized corrosion.
  • Data gaps. Paper records and inconsistent methods hinder lifecycle asset planning.
  • Reactive, not proactive: Problems are often discovered late after damage has already occurred.

A smarter way forward

While traditional NDT methods for CUI like Pulsed Eddy Current (PEC) and Real-Time Radiography (RTR) remain valuable, the addition of robotic systems, sensors, and AI are transforming CUI inspection.

Robotic systems, sensors, and AI are reshaping how CUI inspections are conducted, reducing reliance on manual labor and enabling broader, data-rich asset visibility for better planning and decision-making.

ARIX Technologies, for example, introduced pipe-climbing robotic systems capable of full-coverage inspections of insulated pipes without the need for insulation removal. Venus, ARIX’s pipe-climbing robot, delivers full 360° CUI data across both vertical and horizontal pipe circuits — without magnets, scaffolding, or insulation removal. It captures high-resolution visuals and Pulsed Eddy Current (PEC) data simultaneously, allowing operators to review inspection video and analyze corrosion insights in one integrated workflow. This streamlines data collection, speeds up analysis, and keeps personnel out of hazardous zones — making inspections faster, safer, and far more actionable.

These integrated technology platforms are driving measurable gains:

  • Autonomous grid scanning: Delivers structured, repeatable coverage across pipe surfaces for greater inspection consistency.
  • Integrated inspection portal: Combines PEC, RTR, and video into a unified 3D visualization, streamlining analysis across inspection teams.
  • Actionable insights: Enables more confident planning and risk forecasting through digital, shareable data—not siloed or static.

Real-world results

Petromax Refining adopted ARIX’s robotic inspection systems to modernize its CUI inspections, and its results were substantial and measurable:

  • Inspection time dropped from nine months to 39 days.
  • Costs were cut by 63% compared to traditional methods.
  • Scaffolding was minimized 99%, reducing hazardous risks and labor demands.
  • Data accuracy improved, supporting more innovative maintenance planning.

Why the time is now

Energy operators face mounting pressure from all sides: aging infrastructure, constrained budgets, rising safety risks, and growing ESG expectations.

In the U.S., downstream operators are increasingly piloting drone and crawler solutions to automate inspection rounds in refineries, tank farms, and pipelines. Over 92% of oil and gas companies report that they are investing in AI or robotic technologies or have plans to invest soon to modernize operations.

The tools are here. The data is here. Smarter inspection is no longer aspirational — it’s operational. The case has been made. Petromax and others are showing what’s possible. Smarter inspection is no longer a leap but a step forward.

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Tyler Flanagan is director of service & operations at Houston-based ARIX Technologies.


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A View From HETI

Texas has also officially claimed the No. 1 spot in the U.S. for existing and under-construction data center capacity, according to the report. Photo courtesy JLL

Houston stands to benefit from constraints dogging data center markets elsewhere in Texas, a new report indicates. This comes against the backdrop of Texas surpassing Virginia as the country’s top state for data centers — and amid deepening opposition to these facilities.

The report, published by commercial real estate services provider JLL, foresees Houston continuing to gain traction in data center development as occupants seek “scalable alternatives” to Texas markets experiencing supply-and-demand imbalances.

The Houston area currently hosts data centers with 287 megawatts of capacity, well below capacity levels in the Dallas-Fort Worth, Austin-San Antonio and West Texas markets.

However, the region is witnessing a spike in capacity, with 390 megawatts of capacity under construction, according to the report. Counting newly built data centers, Houston would be home to 677 megawatts of data center capacity, an 80 percent increase from the current inventory, the report says.

Developers target West Houston for large-scale data centers

Developers increasingly are evaluating West Houston and surrounding areas for large-scale campuses capable of supporting behind-the-meter power, according to the report. Data center development in the region is likely to remain concentrated in those areas, where power is readily accessible and flood risks are lower, the report adds.

The report notes that Houston is evolving from a traditionally enterprise-focused co-location market for data centers into a “credible large-scale growth market,” buoyed by rising interest in hyperscale facilities and increased development activity.

Corporate, energy and healthcare users are still active in Houston’s data center market, the report says, with cloud computing and technology tenants making inroads. The Houston market absorbed 25 megawatts of data center capacity in the first half of this year.

Texas crowned No. 1 state market for data center capacity

The growth of Houston’s data center sector is occurring in tandem with Texas’ ascent as a data center market. The report shows Texas now boasts 26 gigawatts of existing and under-construction capacity, followed by Virginia at 13 gigawatts.

JLL declares that “Texas has cemented its position as the state for data centers.”

The “frontier” markets of West Texas, the Carolinas, Louisiana, and Ohio account for 77 percent of all capacity being developed nationwide, according to the report.

As evidence of Texas’ heightened stature in the data center sector, commercial real estate services provider Cushman & Wakefield recently ranked Dallas as the world’s No. 1 primary data center market, while Austin-San Antonio led the list of second-tier markets and West Texas topped the third-tier ranking.

These rankings underscore “Texas’ growing importance as a large-scale AI infrastructure hub,” Cushman & Wakefield says.

Opposition to new data centers in Texas grows

While businesses see the value of adding data centers in Texas, the state’s data center boom is rattling residents and politicians alike.

A recent University of Houston survey finds that although 85 percent of Houston-area residents use AI—a key driver of data center growth—nearly 63 percent oppose construction of a data center within a mile of their home. Experts estimate 6.5 gigawatts of capacity, or roughly one-fifth of the total U.S. pipeline, will join the Texas power grid by 2030, with Houston serving as a main hub.

A poll taken recently by the University of Texas/Texas Politics Project yielded similar results: 56 percent of Texans oppose development of data centers in their community.

“Texas’ grid is already facing pressure from population growth, extreme weather and rising industrial demand,” UH researcher Soran Mohtadi says. “When residents say they are concerned about data centers, they’re mostly referring to grid reliability and affordability.”

Data center backlash prompts action by politicians

Responding to Texans’ concerns over power and water consumption, Gov. Greg Abbott recently imposed a moratorium on new data centers in the state to allow time for regulatory agencies to assess the projects’ impact. Meanwhile, some state lawmakers are calling for a crackdown on data center development.

Last month, a state legislative committee chaired by Sen. Joan Huffman, a Houston Republican, held a hearing on the effects of state sales tax exemptions given to data centers. The cost of these exemptions has climbed from an estimated $14.6 million in 2014-15 to a projected $3.3 billion in 2028-29, according to law firm Holland & Knight.

Two backers of massive data centers in Texas, social media giant Meta Platforms and AI powerhouse OpenAI, agreed this week to comply with Abbott’s recently issued standards regarding data center projects—and more have followed suit.

Dan Diorio, executive vice president of state policy and government affairs for the industry-backed Data Center Coalition, fears backlash against data centers may curb economic growth in Texas.

“I worry that communities that put moratoriums ultimately create too much uncertainty and unpredictability, and what that ultimately means is that those communities may shut themselves off to data center development but also may shut themselves off to broader economic development,” Diorio told Fox 7 News in Austin.

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