SLB推出了一款名为Tela AI的智能体平台，旨在实现上游能源工作流程的自动化和优化。

该系统采用多智能体协作方式，执行钻井、油藏管理和生产优化等复杂技术任务。Tela AI 将领域专业知识与能够从实时数据中学习的自适应 AI 智能体相结合，从而实现更快的决策。

该技术已在早期试点项目中部署，用于支持地下建模和油井规划作业，结果表明其提高了效率并缩短了周转时间。

作为持续努力加速现场自主和数据驱动运营的一部分，SLB计划在其数字平台上扩展Tela AI应用。

SLB introduced an agentic artificial intelligence platform, Tela AI, designed to automate and optimize upstream energy workflows.

The system uses multi-agent collaboration to perform complex technical tasks across drilling, reservoir management and production optimization. Tela AI enables faster decision-making by combining domain expertise with adaptive AI agents that learn from real-time data.

The technology has been deployed in early pilot projects to support subsurface modeling and well-planning operations, demonstrating improved efficiency and reduced turnaround times.

SLB plans to expand Tela AI applications across its digital platforms as part of ongoing efforts to accelerate autonomous and data-driven operations in the field.