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 Yet many operators still rely on outdated inspection methods that are slow, risky, and economically unsustainable.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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1PointFive signs latest deal, shares update on $1.3B carbon removal project

DAC deal

Houston-based 1PointFive, a subsidiary of Occidental Petroleum Corp., has secured another buyer of carbon dioxide removal credits for its $1.3 billion STRATOS project as it moves toward operation.

Bain & Company, a Boston-based consulting firm, has agreed to purchase 9,000 metric tons of carbon dioxide removal (CDR) credits from the direct air capture (DAC) facility over three years, according to a news release. DAC technology pulls CO2 from the air at any location, not just where carbon dioxide is emitted.

The deal is Bain's first purchase of DAC removal credits. The company has developed a program that helps clients purchase carbon credits from a range of carbon-removal technologies.

"We are proud to partner with 1PointFive and add them to our portfolio of engineered carbon removal technologies," Sam Israelit, Bain’s chief sustainability officer, said in the news release. "Their track record for developing DAC technology, coupled with their deep understanding of what it takes to deliver large-scale infrastructure projects, uniquely positions them to be a leader in this emerging segment.”

“We believe this agreement demonstrates continued momentum for the solution while supporting the development of vital domestic infrastructure,” Anthony Cottone, president and general manager of 1PointFive, added in the release.

Bain joins others like Microsoft, Amazon, AT&T, Airbus, the Houston Astros and the Houston Texans that have agreed to buy CDR credits from STRATOS.

The Texas-based STRATOS project is being developed through a joint venture with investment manager BlackRock and is designed to capture up to 500,000 metric tons of CO2 per year. The U.S Environmental Protection Agency approved Class VI permits for the project last year.

1PointFive says STRATOS is "progressing through start-up activities." The company shared in a LinkedIn post that Phase 1 of the project is expected to go online in Q2, with Phase 2 ramping up through the remainder of 2026.

Houston researcher develops efficient method to cool AI data centers

cool findings

A University of Houston professor has developed a new cooling method that can remove heat at least three times more effectively from AI data centers than current technologies.

Hadi Ghasemi, a distinguished professor of Mechanical & Aerospace Engineering at UH, published his findings in two articles in the International Journal of Heat and Mass Transfer. The findings solve a critical issue in the growing AI sector, according to UH.

High-powered AI data centers generate huge amounts of heat due to the GPU and operating systems they use with extreme power densities, which introduce complex thermal challenges. Traditionally, cooling methods, like microchannels, which use flow and spray cooling, have had limitations when exposed to extreme heat flux, according to UH.

Ghasemi’s research, however, found a more effective way to design thin-film evaporation structures to release heat from data centers and electronics at record performance.

Ghasem’s solution coupled topology optimization and AI modeling to determine the best shapes for thin film efficiency, ultimately landing on a branch-like structure—resembling a tree.

The model found that the “branches” needed to be about 50 percent solid and 50 percent empty space for optimum efficiency, and that they could sustain high heat fluxes with minimal thermal resistance.

“These structures could achieve high critical heat flux at much lower superheat compared to traditionally studied structures,” Ghasemi said in a news release. “The new structures can remove heat without having to get as hot as previous removal systems.

Ghasemi’s doctoral candidates, Amirmohammad Jahanbakhsh and Saber Badkoobeh Hezave, also worked on the project. The team believes their results show the impact of a physics-aware, AI design and can help ensure reliability, longevity and stability of AI data centers.

“Beyond achieving record performance, these new findings provide fundamental insight into the governing heat-transfer physics and establishes a rational pathway toward even higher thermal dissipation capacities,” Ghasemi added in the release

Texas federal judge allows lawsuit against California AG over ExxonMobil remarks

In the News

A federal judge in Texas ruled that ExxonMobil can bring a defamation lawsuit against California’s attorney general over comments about the company’s plastic recycling efforts.

U.S. District Judge Michael J. Truncale in the Eastern District of Texas said in a ruling in February that California Attorney General Rob Bonta cannot claim official immunity in regards to several statements he made, including one in a campaign email sent to Texas residents.

Bonta sued Exxon in September 2024, saying that the oil giant encouraged consumers to purchase plastics products with the promise that the products would be recycled. He said less than 5% of plastic is recycled into another plastic product, and that recycling processes touted by Exxon don't work. Exxon said the problem is with California's recycling system.

Exxon later sued Bonta in his individual capacity and environmental groups for defamation, saying that the comments harmed current and future business contracts. The lawsuit was filed in Texas, near its principal place of business.

Truncale dismissed the lawsuit against the environmental groups but allowed it to proceed against Bonta.

The judge pointed to a campaign email Bonta sent to Texas residents saying that only 5% is recycled and the rest ends up in the environment and in our bodies: “Exxon Mobil knew, and Exxon Mobil lied.” Bonta, a Democrat, argued he was simply updating email recipients on his office's activities.

But Truncale said a campaign contribution link on the email turned the communication into a campaign activity not protected by immunity in Bonta's official capacity as attorney general.

“Here, the contribution request betrays the email's true nature: a campaign promotion. Campaigning is not within Bonta's scope of employment,” the judge wrote.

Bonta has filed a notice of appeal.

“The Attorney General looks forward to vigorously litigating this case, and is proud to advance his lawsuit against ExxonMobil,” his press office said.

ExxonMobil said in a statement that the “campaign of lies designed to derail our advanced recycling business must stop.”