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 Yet many operators still rely on outdated inspection methods that are slow, risky, and economically unsustainable.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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Japanese company plans $357M solar manufacturing plant in Houston area

coming soon

Japanese solar manufacturing company TOYO Co. Ltd. plans to invest $357 million to bring a 1.5-gigwatt solar cell manufacturing facility to the Houston area.

TOYO’s latest state-of-the-art facility will be co-located at its existing solar module site in Humble, according to a news release from the company. It will produce heterojunction (HJT) solar cells, which are known to be more durable and efficient with a higher heat threshold.

TOYO reports that the new facility will create 400 full-time manufacturing jobs. The project is expected to be completed in 20 months, which includes an initial pilot production.

"Expanding into domestic cell manufacturing is the natural next step in our commitment to creating an integrated onshore solar supply chain from polysilicon to panels," Takahiko Onozuka, chairman and CEO of TOYO, said in the news release. "Co-locating 1.5 GW of HJT cell capacity at our Houston module site significantly optimizes our capital allocation and infrastructure spend.”

TOYO entered the Houston market in 2024 through its acquisition of a majority stake in Solar Plus Technology Texas LLC.

Earlier this year, it began producing solar modules at its 567,140-square-foot plant in Lovett Industrial’s Nexus North Logistics Park. At the time, the company said it planned to expand manufacturing capacity to 6.5 gigawatts.

"The new cell plant reflects TOYO's long-term strategy to build a fully FEOC-compliant domestic manufacturing platform focused on serving the needs of the U.S. utility-scale solar market," Rhone Resch, TOYO's chief strategy officer, added in the release. "By producing premium solar products in the United States, we will be well positioned to meet the market's evolving domestic content requirements while strengthening supply chain security and reliability. Looking ahead, we believe HJT is the optimal technology platform for integrating next-generation perovskite solar cells, which we expect will drive the next major advancement in solar conversion efficiency and support TOYO's long-term technology roadmap.”

New survey reveals concerns over AI data center growth in Houston

data findings

A new report out of the University of Houston shows that area residents remain wary of the long-term effects of operating data centers.

The recent survey from the University of Houston’s latest SPACE City Panel, conducted by the Center for Public Policy at the Hobby School of Public Affairs, shows that while 85 percent of Houston-area residents use AI, nearly 63 percent oppose the construction of AI data centers within 1 mile of their homes.

Respondents’ concerns centered around data centers’ high energy demand and the area’s power grid reliability. According to the survey, 32 percent of residents who oppose local data center projects would be more likely to support the centers if they relied on renewable energy over fossil fuels.

“Respondents understand that AI can bring economic and educational benefits, but they are also concerned about the physical infrastructure needed to fuel AI, especially data centers,” Soran Mohtadi, post-doctoral fellow at the Hobby School and a researcher on the report, said in a news release. “This physical infrastructure demands more electricity and water, leading to environmental impacts.”

Experts estimate that 6.5 gigawatts of data center capacity will be added to the Texas grid by 2030. And Houston’s data center capacity is predicted to more than double by 2028.

The Electric Reliability Council of Texas also projects electricity demand could reach 218 gigawatts by 2031, which would be more than double the record peak set in August 2023. Data centers are expected to account for 86 gigawatts of that new demand.

Survey respondents also said they are concerned about the state's future water supply, given the large amounts of water that data centers need to stay cool.

In terms of who’s responsible for that issue, 57.6 percent of respondents said they put the onus on Texas lawmakers, while 31.5 percent say tech companies should be responsible.

Additionally, more than 75 percent of respondents believed that data center developers and technology companies—not residents—should bear the cost of infrastructure upgrades to support data centers.

“Every decision legislators make has implications on residents’ everyday lives and local infrastructure now and in the future,” Maria P. Perez Arguelles, lead researcher on the report and research assistant professor at the Hobby School, added in the news release. “This issue is going to become more important in years to come, so this is just the beginning.”

Read the full report here.

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This article originally appeared on our sister site, EnergyCapitalHTX.com.

American Airlines and Google ink record-breaking deal for cleaner jet fuel

SAF DEAL

Fort Worth-based American Airlines has sealed a record-breaking deal with tech giant Google to bolster the use of cleaner jet fuel.

The deal involves Google’s purchase of sustainable aviation fuel certificates tied to fuel that American will use at Chicago O’Hare International Airport, one of the airline’s hubs. These certificates enable companies like Google to pay for the environmental benefits of sustainable jet fuel without actually using the fuel.

American and Google say this is the largest publicly announced certificate deal between an airline and a corporate customer.

Google says environmental gains from the certificates will help it cut emissions from employees’ business travel.

The agreement covers 35 million gallons of sustainable aviation fuel over three years, resulting in a nearly 300,000 metric tons of carbon dioxide equivalent emissions. American has agreed to buy the fuel from San Antonio-based Valero.

“Our industry-leading agreement with Google is a critical step forward in reducing emissions from our operations,” Jill Blickstein, American’s chief sustainability officer, said in a news release. “By working with leaders like Google who share our commitment to innovation, we’re helping to grow demand for [cleaner jet fuel] and support the development of a stronger, more resilient market.”

Sustainable aviation fuel can reduce emissions by up to 80 percent compared with traditional jet fuel. It is made from feedstocks, like waste oil and fats, or it can be produced synthetically using captured carbon dioxide and renewable electricity.

The aviation industry accounts for about 2.5 percent of carbon dioxide emissions around the world, according to the International Energy Agency.