recap

55th annual OTC concludes with over 30,000 attendees, reported $3B impact on Houston economy

With an estimated $3 billion impact on the local economy, OTC 2024 featured a 1,300-company showcase as well as over 50 sessions. Photo via OTC/LinkedIn

That's a wrap on Offshore Technology Conference, which took place at NRG Park from Monday, May 6, to Thursday, May 9. The 55th annual conference welcomed over 30,000 participants from 107 countries to discuss the evolving offshore energy sector.

"It was inspiring to see the global energy community come together to discuss and partner in solutions that will shape a sustainable future," Alex Martinez, chair of the OTC board, says in a news release. "As the world’s population continues to grow and require more energy, there is no other event that provides attendees with more diverse conversations focused on the latest developments needed to accelerate the global energy mix.”

With an estimated $3 billion impact on the local economy, the four-day event featured a 1,300-company showcase as well as over 50 sessions, including panels, fireside chats, and networking events. Many of these sessions included thought leadership from Houston professionals overseeing energy transition initiatives at their respective companies.

Click here to read a round up of four fireside chats discussing clean energy, the future of work, and more.

In fact, OTC returned its Energy Transition Pavilion for 2024 to highlight innovative solutions within energy transition, which included geothermal energy, rig electrification, and the role of AI and data analytics. Additionally, the event featured its Offshore Wind Thread across three days of discussion.

OTC honored two sets of honorees throughout the week too. Three Distinguished Achievement Award recipients were honored at a reception ahead of the official conference and nine young professionals were named as the 2024 Emerging Leaders cohort on May 7.

The organization has already committed to returning to Houston next year. OTC 2025 will take place May 5 to 8, again at NRG Center.

Photo via OTC/LinkedIn

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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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