optimization station

Houston geothermal startup reports 'dramatic acceleration' of drilling operations at Utah project

Fervo Energy says its drilling operations Utah’s Cape Station show a 70 percent reduction in drilling times, paving the way for advancement of its geothermal energy system. Photo via fervoenergy.com

Early drilling results indicate a geothermal energy project operated in Utah by Houston-based startup Fervo Energy is performing better than expected.

Fervo says its drilling operations Utah’s Cape Station show a 70 percent reduction in drilling times, paving the way for advancement of its geothermal energy system. Fervo began construction last year on Cape Station, which is set to deliver clean power to the grid in 2026 and be fully operating by 2028.

The company recently published early drilling results from Cape Station that it says exceed the U.S. Department of Energy’s expectations for enhanced geothermal systems. Fervo says these results “substantiate the rapid learning underway in the geothermal industry and signal readiness for continued commercialization.”

Founded in 2017, Fervo provides carbon-free energy through development of next-generation geothermal power.

Fervo began drilling at Cape Station, a 400-megawatt project in southwest Utah, in June 2023. Over the past six months, the company has drilled one vertical well and six horizontal wells there. The company reports that costs for the first four horizontal wells at Cape Station fell from $9.4 million to $4.8 million per well.

“Since its inception, Fervo has looked to bring a manufacturing mentality to enhanced geothermal development, building a highly repeatable drilling process that allows for continuous improvement and, as a result, lower costs,” Tim Latimer, Fervo’s co-founder and CEO, says in a news release. “In just six months, we have proven that our technology solutions have led to a dramatic acceleration in forecasted drilling performance.”

Trey Lowe, chief technology officer of Oklahoma City-based oil and gas producer Devon Energy, likens Fervo’s drilling results to “the early days of the shale revolution.” Last year, Devon invested $10 million in Fervo.

“When you operate continually and understand the resource, you dramatically streamline operations. That’s the unique value of Fervo’s approach to enhanced geothermal,” says Lowe.

Last summer, Fervo reported the results of another one of its projects, Project Red, which is in northern Nevada and made possible through a 2021 partnership with Google. That site officially went online for the tech company in December.

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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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