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Pipeline robotics: How this Houston startup is revolutionizing corrosion monitoring

Dianna Liu of ARIX Technologies joins the Houston Innovators Podcast to share her entrepreneurial journey — and why Houston was the right place to start her company. Photo courtesy of ARIX

After working for years in the downstream energy industry where safety and efficiency were top priorities, Dianna Liu thought there was a way technology could make a huge difference.

Despite loving her company and her job, she took a leap of faith to start a robotics company to create technology to more safely and efficiently monitor corrosion in pipelines. ARIX Technologies has developed software and hardware solutions for its customers with pipelines in downstream and beyond.

"Overall, this industry is an industry that really harps on doing things safely, doing things well, and having all the data to make really informed decisions," Liu says on the Houston Innovators Podcast. "Because these are huge companies with huge problems, it takes a lot of time to set up the right systems, adopt new things, and make changes."

But it's an industry Liu knows well, so she founded ARIX in 2017 and created a team of engineers to create the first iteration of the ARIX robot, which was at first made of wood, she says. Now, years later, the much-evolved robot moves up and down the exterior of the pipe, using its technology to scan the interior to evaluate corrosion. The technology works with ARIX's software to provide key data analysis.

With customers across the country and the world, ARIX has a strong foothold in downstream, but has garnered interest from other verticals as well — even working with NASA at one point, Liu says.

"Staying in downstream would be nice and safe for us, but we've been very lucky and have had customers in midstream, upstream, and even outside oil and gas and chemicals," she says. "We've gotten inquiries ranging from cosmetics plants to water or wastewater — essentially anything that's round or a pipe that can corrode, we can help with."

Liu, who goes into detail on the show about how critical establishing a positive company culture has been for ARIX, shares a bit about what it's been like growing her company in Houston.

"Houston being the Energy Capital of the World opens a lot of doors to both customers, investors, and employees in a way that's unparalleled. It is a great place to build a company because of that — you have all this expertise in this city and the surrounding areas that's hard to find elsewhere," she says. "Being such a hub — not only for energy, but in terms transportation — means it's easy for us to get to our customers from around the world."

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This article originally ran on InnovationMap.

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A View From HETI

Researchers have secured $3.3 million in funding to develop an AI-powered subsurface sensing system aimed at improving the safety and efficiency of underground power line installation. Photo via Getty Images

Researchers from the University of Houston — along with a Hawaiian company — have received $3.3 million in funding to explore artificial intelligence-backed subsurface sensing system for safe and efficient underground power line installation.

Houston's power lines are above ground, but studies show underground power is more reliable. Installing underground power lines is costly and disruptive, but the U.S. Department of Energy, in an effort to find a solution, has put $34 million into its new GOPHURRS program, which stands for Grid Overhaul with Proactive, High-speed Undergrounding for Reliability, Resilience, and Security. The funding has been distributed across 12 projects in 11 states.

“Modernizing our nation’s power grid is essential to building a clean energy future that lowers energy costs for working Americans and strengthens our national security,” U.S. Secretary of Energy Jennifer M. Granholm says in a DOE press release.

UH and Hawaii-based Oceanit are behind one of the funded projects, entitled “Artificial Intelligence and Unmanned Aerial Vehicle Real-Time Advanced Look-Ahead Subsurface Sensor.”

The researchers are looking a developing a subsurface sensing system for underground power line installation, potentially using machine learning, electromagnetic resistivity well logging, and drone technology to predict and sense obstacles to installation.

Jiefu Chen, associate professor of electrical and computer engineering at UH, is a key collaborator on the project, focused on electromagnetic antennas installed on UAV and HDD drilling string. He's working with Yueqin Huang, assistant professor of information science technology, who leads the geophysical signal processing and Xuqing Wu, associate professor of computer information systems, responsible for integrating machine learning.

“Advanced subsurface sensing and characterization technologies are essential for the undergrounding of power lines,” says Chen in the release. “This initiative can enhance the grid's resilience against natural hazards such as wildfires and hurricanes.”

“If proven successful, our proposed look-ahead subsurface sensing system could significantly reduce the costs of horizontal directional drilling for installing underground utilities,” Chen continues. “Promoting HDD offers environmental advantages over traditional trenching methods and enhances the power grid’s resilience.”

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