reduce, reuse, recycle

Houston energy company diverts over 125M pounds of scrap metals from landfills

In partnership with Venture Metals +, Baker Hughes has saved over 125 million pounds of scrap metals from more than 50 of the company's locations around the world. Photo via bakerhughes.com

For three years, Baker Hughes has been working with a full-scale scrap processor partner to divert scrap metal waste from landfills as a part of the company's net-zero commitment by 2050.

In partnership with Venture Metals +, Baker Hughes has saved over 125 million pounds of scrap metals from more than 50 of the company's locations around the world.

Venture Metals + collects, recycles, and manages the full recycling process of scrap materials, providing recycling, reclamation, and investment recovery as a service to industrial, manufacturing, and service facilities.

“The relationship that has been formed between Baker Hughes and Venture Metals is the definition of a true partnership. Over the many years we have collaborated on significant projects and there has been a foundation of trust, transparency and investment on both sides,” Venture Metals’ Vice-Chairman of the Board Mark Chazanow says in a news release. “Together, we have been able to do our part to improve the environment by circular and sustainable recycling while also capturing substantial revenue gain. We look forward to growing the partnership and seeing a bright future ahead together.”

According to the release, Baker Hughes plans to grow the partnership to introduce similar programs at five key locations around the world. Venture Metals+ also set up Baker Hughes with customized containers to help separate titanium, stainless steel, Inconel, and other recyclable metals.

“Reducing our environmental footprint is a critical focus area for our sustainability strategy as we continue to reduce waste, minimize the resources we use and promote circularity,” Allyson Anderson Book, chief sustainability officer at Baker Hughes, adds. “Through partners like Venture Metals +, we are minimizing waste and reusing scrap materials as much as possible for more sustainable operations.”

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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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