4 Oil & Gas Firms Betting on NVIDIA-Powered AI Technology

SLB, TTE, BP and SHEL are tapping NVIDIA's advanced computing to accelerate geological analysis, improve drilling decisions and boost operational efficiency.

Skip to navigation Skip to main content Skip to right column Yahoo Finance Sign in UK markets close in 3h 50m UK UK US Markets Europe Markets Asia Markets Cryptocurrencies Rates Commodities Currencies UK markets close in 3h 50m FTSE 100 10,686.16 +35.83 +0.34% GBP/USD 1.3263 +0.0012 +0.09% GBP/EUR 1.1842 +0.0012 +0.10% FTSE 250 24,512.32 +173.13 +0.71% AIM 774.19 +3.03 +0.39% GOLD FUTURES 4,161.70 -15.60 -0.37% ADVERTISEMENT 4 Oil & Gas Firms Betting on NVIDIA-Powered AI Technology Nilanjan Choudhury Tue, 13 October 2026 at 5:23 am GMT-7 4 min read NVDA BP SHEL Artificial intelligence (AI) is changing how oil and gas companies explore resources, manage production and control operating costs.

Energy producers handle large amounts of geological and operational data, making faster computing increasingly useful for business decisions.

NVIDIA NVDA, known for its advanced computing technology, is working with energy companies to bring AI into their operations.

Among the energy companies working with NVIDIA are SLB Limited SLB, TotalEnergies TTE, BP plc BP and Shell plc SHEL.

These companies are using AI and advanced computing in different areas of their businesses.

Oil and gas companies depend on detailed geological studies and reservoir data before making expensive drilling decisions.

Analyzing this information can take considerable time, especially when dealing with complex underground formations.

NVIDIA's computing technology helps process large datasets faster, giving engineers more information to evaluate potential resources and plan development activities.

AI also has practical applications beyond exploration.

Energy companies are using advanced computing to model reservoir behavior, monitor equipment and improve production planning.

Faster analysis can help identify operating problems earlier and reduce unnecessary spending.

From an investment standpoint, these developments offer opportunities to improve cost efficiency and make better use of existing assets.

Companies that successfully integrate AI into daily operations may benefit from lower operating expenses and more effective capital spending.