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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

Google will soon be able to pull from energyRe’s portfolio of more than 600 megawatts of new solar and solar storage projects in South Carolina. Photo via Pixabay

EnergyRe, a developer of large-scale renewable energy projects with headquarters in Houston and New York, has signed a renewable energy agreement that will allow Google to invest in and purchase renewable energy credits (RECs) from its projects under development in South Carolina.

Google will be able to pull from energyRe’s portfolio of more than 600 megawatts of new solar and solar storage projects in the state.

The agreement marks the second partnership between the companies. Last year, energyRe and Google signed a 12-year power purchase agreement in which Google would purchase renewable energy from a 435-megawatt solar project. EnergyRe would supply electricity and RECs generated from the solar project to Google to power the equivalent of more than 56,000 homes.

"Strengthening the grid by deploying more reliable and clean energy is crucial for supporting the digital infrastructure that businesses and individuals depend on," Amanda Peterson Corio, head of data center energy at Google, said in a news release. "Our collaboration with energyRe will help power our data centers and the broader economic growth of South Carolina."

EnergyRe's work includes developing high-voltage transmission, onshore and offshore wind, large-scale solar, distributed generation and storage assets in markets around the United States. Its national onshore utility-scale portfolio includes 1,520 megawatts of contracted solar assets and 398 megawatt-hours of contracted battery storage assets.

"This agreement is a milestone in energyRe's mission to develop innovative and impactful clean energy solutions for the future," Miguel Prado, CEO of energyRe, added in the news release."We're honored to partner with Google to help advance their ambitious sustainability and decarbonization objectives while delivering dependable, locally sourced clean energy to meet growing energy demands."

Google aims to achieve net-zero carbon emissions across its operations and value chain by 2030.

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