money moves

Houston energy analytics company garners $41M in growth capital

Houston-based Welligence Energy Analytics specializes in data and intelligence for the oil and gas markets, greenhouse gas emissions sector, and CCUS projects. Photo via Getty Images

A group of investors has chipped in $41 million to purchase a minority stake in Houston-based Welligence Energy Analytics, a provider of energy data and intelligence.

Boston-based venture capital firm Elephant Partners led the series B round, with participation from Veriten, a Houston-based, energy-focused research, investing, and strategy firm, and EDG, a Metairie, Louisiana-based energy consulting firm. Several executives from the energy, information services, and software sectors also contributed to the round.

Founded in 2016, Welligence specializes in data and intelligence for the oil and gas markets, greenhouse gas emissions sector, and carbon capture, storage, and utilization (CCUS) projects. Clients include major oil and gas companies, as well as large investment banks.

“Our team is proud of the growth we’ve achieved over the last six years. The foundation of Welligence has now been built. We have a world-class team, a robust database and platform, and a brand recognized globally in our industry,” Welligence co-founder and CEO Ross Lubetkin says in a news release. “Raising significant capital from some of the market’s most sophisticated investors with a proven track record is a pivotal step towards realizing the Welligence vision — to solidify our presence as a leading global energy research house.”

Welligence says it will use the funding to beef up its product offerings, expand its geographic data capabilities, and enter new energy research verticals. The company has employees and clients in North America, Africa, Asia, Europe, Latin America, and the Middle East, and it plans to open more global offices.

“We have been extremely impressed by the Welligence team and product and are excited by the scalability of the platform. Through the company’s use of new technology, ideas, and methodologies, Welligence continues to take market share in a space traditionally monopolized by a few legacy players,” says Christopher De Souza, a partner at Elephant. “Welligence’s global energy database positions it well for expansion into new frontiers.”

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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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