eyes on ai

Energy sector AI spending is set to soar to $13B, report says

Deloitte predicts AI will represent 57 percent of IT spending by U.S. oil and gas companies in 2029. Photo via Unsplash.

Get ready for a massive increase in the amount of AI spending by oil and gas companies in the Houston area and around the country.

A new report from professional services firm Deloitte predicts AI will represent 57 percent of IT spending by U.S. oil and gas companies in 2029. That’s up from the estimated share of 23 percent in 2025.

According to the analysis, the amount of AI spending in the oil and gas industry will jump from an estimated $4 billion in 2025 to an estimated $13.4 billion in 2029—an increase of 235 percent.

Almost half of AI spending by U.S. oil and gas companies targets process optimization, according to Deloitte’s analysis of data from market research companies IDC and Gartner. “AI-driven analytics adjust drilling parameters and production rates in real time, improving yield and decision-making,” says the Deloitte report.

Other uses for AI in the oil and gas industry cited by Deloitte include:

  • Integrating infrastructure used by shale producers
  • Monitoring pipelines, drilling platforms, refineries, and other assets
  • Upskilling workers through AI-powered platforms
  • Connecting workers on offshore rigs via high-speed, real-time internet access supplied by satellites
  • Detecting and reporting leaks

The report says a new generation of technology, including AI and real-time analytics, is transforming office and on-site operations at oil and gas companies. The Trump administration’s “focus on AI innovation through supportive policies and investments could further accelerate large-scale adoption and digital transformation,” the report adds.

Chevron and ExxonMobil, the two biggest oil and gas companies based in the Houston area, continue to dive deeper into AI.

Chevron is taking advantage of AI to squeeze more insights from enormous datasets, VentureBeat reported.

“AI is a perfect match for the established, large-scale enterprise with huge datasets—that is exactly the tool we need,” Bill Braun, the company’s now-retired chief information officer, said at a VentureBeat event in May.

Meanwhile, AI enables ExxonMobil to conduct autonomous drilling in the waters off the coast of Guyana. ExxonMobil says its proprietary system improves drilling safety, boosts efficiency, and eliminates repetitive tasks performed by rig workers.

ExxonMobil is also relying on AI to help cut $15 billion in operating costs by 2027.

“There is a concerted effort to make sure that we’re really working hard to apply that new technology … to drive effectiveness and efficiency,” Darren Woods, executive chairman and CEO of ExxonMobil, said during a 2024 earnings call.

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A View From HETI

The process permanently stores some CO2 underground, reducing carbon emissions and carbon intensity. Photo courtesy UH

A new report from the University of Houston estimates that a method known as carbon dioxide-enhanced oil recovery (CO2-EOR) could recover roughly 137 billion barrels of U.S. oil—with Texas and the Gulf Coast poised to play a major role.

A UH Energy-produced white paper, titled “Revitalization of Mature Oil Fields: Opportunities and Challenges of CO2-EOR,” looks at how CO2-EOR could increase U.S. energy supply, reduce carbon emissions and lower the carbon intensity of oil production.

CO2-EOR injects pressurized carbon dioxide into mature oil wells to loosen and push oil trapped underground toward the production wells, allowing operators to extract oil typically left behind. The process permanently stores some CO2 underground, reducing carbon emissions and carbon intensity.

“Injected CO2 works to revitalize mature oil fields by reducing oil viscosity, improving sweep efficiency and restoring reservoir pressure, resulting in incremental oil production beyond primary and secondary recovery,” the report reads. “CO2-EOR also supports permanent carbon storage and by virtue of this will produce uniquely low-carbon intensity oil for global markets.”

Authored by Charles McConnell, executive director of UH's Center for Carbon Management in Energy, and Zhiyuan Li, a UH petroleum engineering doctoral candidate, the paper says that much of the opportunity lies right under the feet of Texas oil companies.

Texas and the Gulf Coast, including its offshore resources, have half of the nation's oil resources considered favorable for the CO2-EOR technology, the report says. According to UH, conventional U.S. oil reservoirs contain 624 billion barrels, with 434 billion barrels still underground, including about 20 billion barrels of proven reserves.

Still, the paper argues that the economics behind CO2-EOR need to be considered. The process’ success depends on a number of factors, including costs of carbon capture, field redevelopment, operations, monitoring, transportation and available tax incentives, according to UH.

Logistically, developing CO2-EOR operations out of older wells and infrastructure presents pros and cons. While using older wells can be more economical, aging infrastructure may require more frequent monitoring, inspection, repair or re-plugging, according to UH.

Ultimately, the report recommends focusing CO2-EOR development on mature oil fields with existing infrastructure, well-understood geology and reliable CO2 supplies. This approach, UH says, could help extend the productive life of existing oil fields while supporting “lower carbon intensity oil for global markets and a significant contribution to energy security.”

Read the full report here.

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