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Baker Hughes launches new digital platform for CCUS operations

Baker Hughes has incorporated a new tech platform for its CCUS operations. Photo via Getty Images

Baker Hughes has announced the debut of its digital platform to track CO2 volumes in real time, CarbonEdge. CarbonEdge utilizes carbon capture utilization and sequestration journey, which includes pipeline flows.

Powered by Cordant, the Houston-based Baker Hughes boasts CarbonEdge is “the first end-to-end, risk-based digital platform for CCUS operations that provides comprehensive support, regulatory reporting, and operational risk management,” according to the company.

The connectivity across the entire CCUS project lifecycle will assist customers to better improve decision-making, enhance operational efficiency, identify and manage risk, and simplify regulatory reporting. Applicable to any CCUS infrastructure applied across multiple industries, CarbonEdge joins other Baker Hughes’ digital solutions in JewelSuite, Leucipa, and Cordant, which all span the energy and industrial value chains to help ensure lower emissions.

“CCUS technology solutions are essential for driving decarbonization of the energy and industrial sectors on our path to solving for climate change,” Baker Hughes Chairman and CEO Lorenzo Simonelli says in a news release.

The launch customer will be Wabash Valley Resources (WVR), which is a low-carbon ammonia fertilizer pioneer in Indiana.WVR will deploy Baker Hughes’ CarbonEdge platform to monitor, measure, and verify volumes of CO2 transported, collected, and sequestered underground.

“With the launch of CarbonEdge, we not only expand our portfolio of digital solutions to support new energies and empower our customers’ ability to mitigate risk while enhancing operational efficiency, but also take a bold step toward a future with more sustainable energy development,” Simonelli continues.”We look forward to working alongside Wabash Valley Resources to refine and evolve CarbonEdge, ensuring it continues to meet the dynamic needs of a rapidly changing industry.”

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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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