by the numbers

ExxonMobil beats profit forecast with Q3 surge, powered by acquisition, production gains

Exxon earned $8.6 billion, or $1.92 per share, for the three months ended Sept. 30. Photo via ExxonMobil.com

ExxonMobil's third-quarter profit beat analysts' expectations, as the oil and gas giant was helped by contributions from Pioneer Natural Resources, a recent acquisition.

Exxon earned $8.6 billion, or $1.92 per share, for the three months ended Sept. 30. A year earlier the Spring, Texas-based company earned $9.07 billion, or $2.25 per share.

The performance topped Wall Street's expectations, though Exxon does not adjust its reported results based on one-time events such as asset sales. Analysts surveyed by Zacks Investment Research were calling for earnings of $1.91 per share.

Revenue totaled $90.02 billion, falling short of Wall Street’s estimate of $93.51 billion.

Exxon’s net production reached 4.6 million oil-equivalent barrels per day during the third quarter, an increase of 5% compared with the previous quarter.

Oil prices have been falling recently after a retaliatory strike by Israel on Iran targeted military sites rather than the oilfields of the world’s seventh largest producer of crude. The long-term expectation is for oil prices to move lower, not higher. That’s because the balance between supply and demand has tilted toward supply, a dynamic that typically deflates oil prices.

Exxon announced in July 2023 that 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.

Three months later it said it would spend $60 billion on shale operator Pioneer Natural Resources. That deal received clearance from the Federal Trade Commission in May.

Exxon said its board approved a 4% increase in its quarterly dividend, 99 cents per share.

Also on Friday, Chevron Corp. reported an adjusted profit of $2.51 per share on revenue of $50.67 billion. Wall Street was looking for a profit of $2.47 per share on revenue of $49.88 billion. Similar to Exxon, Chevron does not adjust its reported results based on one-time events such as asset sales.

Revenue and net income were lower than a year ago at the San Ramon, California, company, which is relocating its headquarters to Houston by year-end.

Chevron said it's continuing asset sales and is now targeting structural cost cuts of $2 billion to $3 billion through 2026, although it didn't provide specific details.

In morning trading, Exxon shares rose 35 cents to $117.13 while Chevron shares rose 3% to $153.69.

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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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