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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

Simon M. King, a Rice University sophomore, served as the first author on a recent study of a new process for recycling lithium-ion batteries. Photo courtesy Rice

Rice University researchers have uncovered a more energy-efficient and faster way to recycle critical minerals from used lithium-ion batteries.

Traditional methods rely on high heat, long processing times and harsh chemicals to recover a small fraction of critical materials from batteries used in everything from smartphones to electric vehicles. However, the team from Rice's Department of Materials Science and Nanoengineering developed a process that uses a water-based solution containing amino chlorides to extract more metals in less time

The team published the findings in a recent edition of the scientific journal Small.

Simon King, a sophomore studying chemical and biomolecular engineering who completed this work as a summer research fellow at the Rice Advanced Materials Institute, served as first author of the study. He worked with corresponding authors Pulickel Ajayan, the Benjamin M. and Mary Greenwood Anderson Professor of Engineering, and Sohini Bhattacharyya, a research scientist in Ajayan’s lab.

By using a hydroxylammonium chloride (HACI) solution, the team achieved roughly 65 percent extraction of key battery metals in just one minute at room temperature, according to the study. The efficiencies grew to roughly 75 percent for several metals under longer processing times.

“We were surprised by just how fast the reaction occurs, especially without the involvement of high temperatures,” King said in a news release. “Within the first minute, we’re already seeing the majority of the metal extraction take place.”

By not requiring high temperatures or long reaction times, Rice predicts the process could have a major impact on cost and the environmental impact of lithium battery recycling. Additionally, the water-based HACI solution makes waste handling easier and lowers certain environmental risks.

In addition to extracting the materials, the team went on to demonstrate that the recovered metals could be recycled and reprocessed into new battery materials.

“A big advantage of this system is that it works under relatively mild conditions,” Ajayan added in the release. “That opens the door to more sustainable and scalable recycling technologies.”

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