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ExxonMobil profit declines in Q1 as natural gas prices fall

The Spring, Texas-based company's revenue totaled $83.08 billion, down from $86.56 billion a year earlier. Photo via exxonmobil.com

ExxonMobil's profit declined in its first quarter as natural gas prices fell and industry refining margins dropped.

The energy company earned $8.22 billion, or $2.06 per share, for the three months ended March 31. A year earlier it earned $11.43 billion, or $2.79 per share.

The results didn't meet Wall Street expectations, but Exxon does not adjust its reported results based on one-time events such as assets sales. Analysts polled by Zacks Investment Research were expecting earnings of $2.19 per share.

Shares declined slightly before the market open on Friday.

The Spring, Texas-based company's revenue totaled $83.08 billion, down from $86.56 billion a year earlier. Wall Street forecast revenue of $86.6 billion.

Production in Guyana reached more than 600,000 oil-equivalent barrels per day, a higher-than-expected level, the company said.

Exxon went on a bit of a shopping spree last year when oil prices were surging.

In July, the company said it would pay $4.9 billion for Denbury Resources, an oil and gas producer that has entered the business of capturing and storing carbon and stands to benefit from changes in U.S. climate policy.

In October Exxon topped that deal by announcing that it would buy shale operator Pioneer Natural Resources for $60 billion. Two months later, the Federal Trade Commission, which enforces federal antitrust law, asked for additional information from the companies about the proposed deal. The request is a step the agency takes when reviewing whether a merger could be anticompetitive under U.S. law. Pioneer disclosed the request in a filing in January.

Elevated levels of cash for all big producers drove a massive consolidation in the energy sector. In October Chevron said it would buy Hess Corp. for $53 billion.

Oil markets are being stretched by cutbacks in oil production from Saudi Arabia and Russia, and the war between Israel and Hamas still potentially runs the risk of igniting a broader conflict in the Middle East. While attacks on Israel do not disrupt global oil supply, according to an analysis by the U.S Energy Information Administration, “they raise the potential for oil supply disruptions and higher oil prices.”

Elsewhere in the sector, Chevron Corp. reported a first-quarter profit of $5.5 billion, or $2.97 per share. Its adjusted profit was $2.93 per share.

The results surpassed Wall Street expectations, but Chevron also does not adjust its reported results based on one-time events such as asset sales. Analysts surveyed by Zacks predicted earnings of $2.84 per share.

The oil company posted revenue of $48.72 billion, which fell short of Wall Street's estimate of $49.94 billion.

Chevron's stock dipped in premarket trading.

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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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