Schlumberger NV Partners with Houston-Based Energy Company to Advance AI-Driven Autonomous Operations

Reuters
2025/06/20
Schlumberger NV Partners with Houston-Based Energy Company to Advance AI-Driven Autonomous Operations

Schlumberger NV $(SLB)$ has announced a strategic partnership with a Houston-based global independent energy company to implement its OptiSite™ solutions, targeting enhanced AI-driven autonomous operations. The collaboration aims to improve facility uptime and safety, leveraging AI and digital twin technologies to provide comprehensive insights into production operations. Powered by Cognite Data Fusion®, this initiative will integrate AI, cloud, and edge technologies to optimize pipeline throughput performance. The partnership will initially offer a unified visualization of performance data, promoting seamless collaboration across domains. In the long term, SLB plans to expand the deployment of OptiSite solutions across the customer's offshore U.S. assets, focusing on cost optimization, energy consumption reduction, and operational decarbonization. This venture is set to establish new industry benchmarks in efficiency and performance.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Schlumberger Ltd. published the original content used to generate this news brief on June 20, 2025, and is solely responsible for the information contained therein.

应版权方要求,你需要登录查看该内容

免责声明:投资有风险,本文并非投资建议,以上内容不应被视为任何金融产品的购买或出售要约、建议或邀请,作者或其他用户的任何相关讨论、评论或帖子也不应被视为此类内容。本文仅供一般参考,不考虑您的个人投资目标、财务状况或需求。TTM对信息的准确性和完整性不承担任何责任或保证,投资者应自行研究并在投资前寻求专业建议。

热议股票

  1. 1
     
     
     
     
  2. 2
     
     
     
     
  3. 3
     
     
     
     
  4. 4
     
     
     
     
  5. 5
     
     
     
     
  6. 6
     
     
     
     
  7. 7
     
     
     
     
  8. 8
     
     
     
     
  9. 9
     
     
     
     
  10. 10