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SLB unveils AI-powered tech to enhance drilling efficiency and reduce emissions

SLB has introduced Neuro, an AI-driven autonomous geosteering system that optimizes well drilling by responding to complex subsurfaces, enhancing efficiency, and reducing carbon emissions. Photo courtesy of SLB

Houston energy technology company SLB introduced a new autonomous geosteering system called Neuro, which can reduce the carbon footprint of the drilling operations. Neuro can respond to complex subsurfaces to drill more efficiently with higher-performing wells.

Neuro, which is an AI-based platform,expands the technological foundation of SLB’s Neuro autonomous directional drilling, which drills wells to a specific target. Now, the Neuro autonomous geosteering incorporates high-fidelity downhole measurements that ensure certainty of well placement in the best part of the reservoir.

“Neuro autonomous geosteering is a remarkable industry-first achievement that is for drillers what the autonomous vehicle is for drivers,” Jesus Lamas, president of Well Construction at SLB, says in a news release. “Using advanced cloud and edge AI capabilities, the system automatically selects the best route for drilling the well based on high-fidelity downhole measurements, bringing the well trajectory in line with the real-world conditions of the reservoir.”

SLB deployed Neuro autonomous geosteering that drilled a 2,392-foot lateral section of an onshore well for Shaya Ecuador S.A. SLB's autonomous system completed 25 autonomous geosteering trajectory changes in a matter of seconds according to SLB. By remaining in the most productive layer of the reservoir, the well has become one of the best producers in Ecuador, according to SLB.

“By drilling more consistent and higher-producing wells, our customers can optimize their field development plan while reducing operational emissions from drilling over the lifetime of the asset,” Lamas adds.

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A View From HETI

The report concludes that natural gas would need to remain a “foundational component of the region’s energy system” to meet the demands of AI data centers. Photo courtesy UH

A new study from the University of Houston estimates that the U.S. will need more than $1 trillion in new midstream energy infrastructure investment by 2052 to meet the rising energy demands from data centers in the age of artificial intelligence.

According to the report, this would average $40 billion to $48 billion per year across investments in natural gas, oil, natural gas liquids, hydrogen and CO2 infrastructure.

UH, in collaboration with the INGAA Foundation and Wood and ESMIA Consultants, released the 2025 North American Midstream Infrastructure Report, which details the needs, pipelines and associated infrastructure necessary to meet global market needs and increased energy demands. UH led the consortium that conducted the analysis. Paul Doucette, hydrogen program officer at UH, served as the principal investigator of the report.

According to the U.S. Department of Energy, data center energy consumption could reach 800 terawatt-hours annually by 2050, a roughly 167 percent increase from 300 terawatt-hours in 2025. Meanwhile, electricity generation from all energy sources is projected to reach 5,858 terawatt-hours in 2052, a 27 percent increase over current levels.

The report proposes two routes to meeting this level of demand.

The first scenario is a reference case based on current federal, state and provincial policies as of April 1, 2025. The second option presents a low-carbon scenario. The report concludes that natural gas would need to remain a “foundational component of the region’s energy system” in both scenarios.

“Meeting energy demand is a critical challenge right now, and this report quantifies the necessary midstream infrastructure and corresponding development dollars needed to meet that demand,” Hebe Shaw, executive director of the INGAA Foundation, said in a news release. “Meeting the energy needs of North America will require sustained investment and development, which must begin now to ensure a safe, reliable and affordable energy system.”

The report also identified several key midstream infrastructure requirements, including:

  • 103,000 miles of new natural gas gathering pipelines
  • 37,000 miles of additional natural gas transmission pipelines, which includes approximately 33,800 miles in the United States
  • 24 million jobs over 25 years

The report adds that hydrogen, carbon capture, utilization, and storage (CCUS), and other decarbonization strategies can help meet infrastructure needs.

UH released a condensed version of the report here.

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