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