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Big Oil’s Production Keeps Soaring Despite Deep Spending Cuts


Some of the world’s largest oil and gas companies have adopted a new modus operandi ever since the historic oil price crash of 2020 devastated energy companies, prioritizing returning more cash to shareholders while expansion plans have been put on the back burner. Indeed, over the past five years, Exxon Mobil (NYSE:XOM), Chevron (NYSE:CVX), British Petroleum (NYSE:BP), Shell (NYSE:SHEL) and TotalEnergies (NYSE:TTE) have collectively spent more than $100 billion annually in dividends and buybacks, good for nearly 80% of their earnings.

Hardly surprisingly, these companies have little left over to spend, President Trump’s “Drill, baby, drill” rallying cry notwithstanding: EY has reported that capital expenditure (capex) by the United States’ 30 largest publicly traded exploration and production (E&P) companies fell 49% Y/Y in 2025, with exploration spending falling 11% to $4.8 billion, good for a mere 3% of  total capital expenditures across the group. The 30 companies represent ~ 43% of total U.S. oil and gas production.

Meanwhile, money spent on acquisitions fell 70% as the previous consolidation wave lost steam. But here’s the kicker: oil production by the group hit an all-time high in 2025 while revenue increased 7%, implying that spending less on drilling has hardly hurt their bottomlines.

One of the clearest signals in this year’s study is that oil production and reserve replacement are moving in different directions,” said EY’s Matt Melnar. “Reserve replacement metrics alone no longer tell the full story. Producers are engaged in a balancing act between production goals, shareholder returns, and long-term portfolio resilience as they make investment decisions.” 

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Big Oil companies have successfully increased production volumes despite falling capex thanks to a combination of drilling efficiency gains, technological advancements as well as a strategic shift toward shorter-cycle, high-return assets. Historically, higher production required a linear increase in spending to drill new wells. However, shale oil companies are drilling longer, horizontal wells that sometimes extend three miles or more, allowing a single surface rig to tap more oil-bearing rock. Completing multiple wells simultaneously slashes execution times and service contract costs.

Additionally, operators are increasingly deploying AI, machine learning and predictive analytics to maximize production efficiency, cut operating costs and extend the lifespan of oil and gas wells. Deep learning models process large 3D and 4D seismic datasets, combining them with historical drilling logs to map out high-permeability zones with higher precision. Predictive analytics evaluate past completion data to determine the volume of proppant required, fluid and pressure needed to fracture a specific sweet spot, ensuring maximum estimated ultimate recovery (EUR). Meanwhile, AI-driven geosteering systems analyze real-time rock properties at the drill bit, automatically adjusting the trajectory to maximize yields. When drilling for natural gas, AI systems are used to continuously adjust gas injection rates through surface and downhole valves thus ensuring the optimal liquid-to-gas ratio is achieved.



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