team work

European co. with Houston HQ enters into collaboration to accelerate AI in energy

Two companies with big presences in Houston are collaborating to provide hybrid intelligence with AI. Photo via Getty Images

Two tech companies have teamed up to accelerate artificial intelligence adaption in the energy industry.

Houston-based Radix announced a strategic partnership with data and artificial intelligence company Cognite, a Norwegian company that's expanded to the U.S. by way of Houston, and will aim to implement AI "to streamline and contextualize data management and asset performance across oil and gas, energy, petrochemicals, and manufacturing industries,” according to a news release.

Radix is a global technology solutions company with expertise in engineering, data and software technology, and operations. The partnership allows Radix to utilize Cognite’s Industrial DataOps platform, and Cognite Data Fusion. The combination of Cognite Data Fusion’s innovative technology and Radix’s engineering intelligence will aim to tackle the problem of extracting information from large data pools in non-integrated systems.

According to Radix, the utilization of hybrid intelligence with AI to sort through data in a more refined manner, companies will be able to more intelligently isolate problem areas and work on solutions. This will help with energy optimization, mass balance for production accounting, and inventory management for critical materials according to Radix. Hybrid intelligence can also help accelerate access to data across various independent systems.

“Our partnership with Cognite has shown that we can bring our unique expertise together to empower companies with the hybrid intelligent tools they need to get to the data that becomes valuable and actionable information," Global Head of Alliances & Practices at Radix Flavio Guimarães says in a news release. “With Cognite Data Fusion, we help businesses streamline their data, thus helping to boost decision-making with real-time insights and drive cost reductions across the organization.”

With Cognite Data Fusionn’s solutions aim to enhance scalability, usability, and overall value for users and businesses, in what Radix has called an Industrial Applications Library. Some solutions will be showcased from October 14-15 at Cognite Impact 2024 in Houston, which will include an operational view on actionable insights, improvement workflows for field process, improvements and operational efficiency, OEE monitoring and control, preventative insights for monitoring.

“The Industrial Applications Library creates added value to the digital transformation journey helping companies to achieve optimal operational excellence and significant cost savings for our customers," Trudi Hable, head of strategic alliances for North America at Radix, adds. “Radix’s expertise and intelligence will ensure that real-time information is being relayed to Cognite Data Fusion in an efficient manner, allowing for the right data to be brought to the right people.”

From left to right: Trudi Hable and Flavio Guimarães of Radix and Laxmi Akkaraji of Cognite. Photos courtesy of Cognite

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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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