subsea innovation

UH team partners with Chevron, Oceaneering for remote-operated pipeline inspector

The robots, developed by UH researchers, will provide a safer and more cost effective alternative to pipeline inspections, which are traditionally performed by human divers and require a great deal of time and money. Photo via UH.edu

Two professors at the University of Houston have developed an autonomous subsea vehicle that aims to decrease the number and severity of oil spills.

Known as SmartTouch technology, the Remote Operated Vehicles (ROVs) use smart touch sensors, video cameras and scanning sonars to inspect flange bolts in subsea pipelines, which are considered to lead to increased rates of leakage, according to a release from the university.

The ROVs, developed by UH's Zheng Chen and Gangbing Song, will provide a safer and more cost effective alternative to pipeline inspections, which are traditionally performed by human divers and require a great deal of time and money.

“By automating the inspection process with this state-of-the art robotic technology, we can dramatically reduce the cost and risk of these important subsea inspections which will lead to safer operations of offshore oil and gas pipelines as less intervention from human divers will be needed,” Chen, the Bill D. Cook Assistant Professor of Mechanical Engineering, said in a statement.

The technology will also be highly accurate in monitoring corrosion, which according to Song, the John and Rebecca Moores Professor of Mechanical Engineering, is responsible for most small leaks in subsea pipelines.

The project is funded by a $960,000 grant from the Bureau of Safety and Environmental Enforcement (BSEE), which is a part of the U.S. Department of the Interior. Chen and Song are also collaborating with Houston-based Oceaneering International on the development of the ROVs, which Oceaneering specializes in. Energy giant Chevron will evaluate the technology’s future commercialization, according to UH, and preliminary studies were funded by the university's Subsea Systems Institute.

Thus far, a prototype of the ROVs has been tested in Chen's lab at UH and in Galveston Bay. Experiments showed the technology's ability to inspect the looseness of subsea bolted connections, like flange bolts.

Chen and Song see other applications for their technology, as well.

"Ultimately, the project will push the boundaries of what can be accomplished by integrating robotics and structural health monitoring technologies," Chen added in the statement. "With proper implementation, the rate of subsea pipeline failure and related accidents will decrease, and subsea operations will be free to expand at a faster rate than before.”

Earlier this summer the UH Subsea Systems Institute and SPRINT Robotics teamed up to develop a robotics training program for the energy industry known as “Robotics in Energy.” The first of a series of two-day courses debuted in May and a subsequent course, Automation & Autonomy, will launch next month. Others are expected to be rolled out in the future as part of the university's Micro-Credentialing Programs in UH Energy.

Additionally Chevron and UH partnered up again last month to announce its inaugural cohort of UH-Chevron Energy Graduate Fellows.

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A View From HETI

A new report predicts that Texas will be home to 30 percent of the U.S. data center market by 2028. Photo via Chevron.com

Data centers are proving to be a massive economic force in Texas.

For instance, a new report from clean energy company Bloom Energy predicts Texas will see a 142 percent increase in its market share for data centers from 2025 to 2028. That would be the highest increase of any state.

Bloom Energy expects Texas to exceed 40 gigawatts of data-center capacity by 2028, representing a nearly 30 percent share of the U.S. market. A typical AI data center consumes 1 to 2 gigawatts of energy.

“Data center and AI factory developers can’t afford delays,” Natalie Sunderland, Bloom Energy’s chief marketing officer, said in the report. “Our analysis and survey results show that they’re moving into power‑advantaged regions where capacity can be secured faster — and increasingly designing campuses to operate independently of the grid.”

“The surge in AI demand creates a clear opportunity for states that can adapt to support large-scale AI deployments at speed,” Sunderland adds.

Further evidence of the data center explosion in Texas comes from ConstructConnect, a provider of data and software for contractors and manufacturers. ConstructConnect reported that in the 12-month span through November 2025, data-center construction starts in Texas accounted for $11 billion in spending. At $12.5 billion, only Louisiana surpassed the Texas total.

Capital expenses for U.S. data centers were expected to surpass $425 billion last year, according to ratings agency S&P Global.

ConstructConnect also reports that Texas is among five states collectively grabbing 80 percent of potential data center construction starts. Currently, Texas hosts around 400 data centers, with close to 60 of them in the Houston market.

A large pool of data-center construction spending in Texas is flowing from Google, which announced in November that it would earmark $40 billion for new AI data centers in the state.

“Texas leads in AI and tech innovation,” Gov. Greg Abbott proclaimed when the Google investment was unveiled.

Other studies and reports lay out just how much data centers are influencing economic growth in the Lone Star State:

  • A study by Texas Royalty Brokers indicates Texas leads the U.S. with 17 clusters of AI data centers. The study measured the density of AI data centers by counting the number of graphics processing units (GPUs) installed in those clusters. GPUs are specialized chips built to run AI models and perform complex calculations.
  • Citing data from construction consulting company FMI, The Wall Street Journal reported that spending on construction of data centers is expected to rise 23 percent in 2026 compared with last year. Much of that construction spending will happen in Texas. In the 12 months through November 2025, the average data center cost $597 million, according to ConstructConnect.
  • Data published in 2025 by commercial real estate services company Cushman & Wakefield shows three Texas markets — Austin, Dallas and San Antonio — boast the lowest construction costs for data centers among the 19 U.S. markets that were analyzed. The mid-range of costs in that trio of markets is roughly $10.65 million per megawatt. Houston isn’t included in the data.

Although Houston isn’t cited in the Cushman & Wakefield data, it nonetheless is playing a major role in the data-center boom. Houston-area energy giants Chevron and ExxonMobil are chasing opportunities to supply natural gas as a power source for data centers, for example.

“As Houston rapidly evolves into a hub for AI, cloud computing, and data infrastructure, the city is experiencing a surge in data-center investments driven by its unique position at the intersection of energy, technology, and innovation,” says the Greater Houston Partnership.

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