otc 2024

Annual offshore conference in Houston names honorees for leadership, sustainable efforts

The three award honorees for OTC 2024 have been named and will be honored on May 5. Photo via otcnet.org

The 2024 Offshore Technology Conference has revealed the three Distinguished Achievement Award recipients that will be recognized at the conference next month.

OTC, a conference that has served the offshore energy community for over 50 years, will bring 276,000 square feet of exhibit space to NRG Park and welcome over 31,000 attendees for more than 350 sessions. The awards reception will kick off the week on May 5.

One of the awards recipients named is Kerry J. Campbell, who will accept the OTC Distinguished Achievement Award for Individuals. Campbell was selected based on his "work in developing modern deepwater site characterization practice and for teaching and mentoring generations of site characterization professionals," reads the news release.

He's previously co-chaired sessions at OTC and served on a subcommittee for the organization, in addition to co-writing seventeen OTC papers. He retired from Fugro in 2020 after helping integrate 3D marine seismic data for engineering applications.

Petrobras will accept the OTC Distinguished Achievement Award for Companies, Organizations, and Institutions at the May banquet. The company was selected "for the deployment of a wide set of new technologies for the successful revitalization of the Marlim Field and the entire deepwater Campos Basin, unlocking new paths for mature deepwater asset redevelopment, with significant reduction in greenhouse gas emissions," per the release.

For about 50 years, the Campos Basin has been subjected to exploration and is known for various shallow water discoveries. In 1992, Petrobras was recognized for its deepwater development in Marlim, and over 30 years later, the company will be praised for its work redeveloping mature fields and the pioneering subsea, drilling, reservoir and decommissioning technologies.

The third and final award recipient is EnerGeo Alliance, which will receive the OTC Special Citation award for promoting efficiency and environmental sustainability within offshore seismic data collection.

"For more than 50 years, EnerGeo Alliance has been a stalwart in the quest for accessible, affordable energy around the globe, while also being a standard-bearer for safety and the environment," reads the release. "EneGeo Alliance has set the standard in the energy geoscience industry by establishing best practices and recommended guidance in key energy areas, including its Environmental Impact Assessment Handbook and Greenhouse Gas Emissions Guidance, for its members."

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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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