SLB 推出自主地质导向系统,以提高钻井性能和井位

2024 年 12 月 09 日

SLB 宣布推出 Neuro™ 自主地质导向系统,这是一种旨在动态响应地下复杂性以钻探更高效、性能更高的井的工具,同时减少钻井作业的碳足迹。

神经地质导向利用人工智能整合并解读复杂的实时地下信息,自动引导钻头穿过储层中产量最高的层位。在传统地质导向作业期间,地质学家必须手动解读这些数据以确定钻井目标、更新钻井计划和轨迹,并将其传达给定向钻井人员。神经地质导向无需人工干预即可完成这些步骤。

在厄瓜多尔,SLB 部署了 Neuro 自主地质导向系统,为 Shaya Ecuador SA 钻探了 2,392 英尺的陆上油井横向段。在此作业中,SLB 的自主系统完成了 25 次自主地质导向轨迹变更,每次解释和决策周期仅需几秒钟。通过保持在油藏最富产层的水平,该油井已成为该国最好的产油井之一。

SLB 油井建设总裁 Jesus Lamas 表示:“欧洲自主地质导向是业界首创的一项非凡成就,它对于钻井工人的意义就如同自动驾驶汽车对于驾驶员的意义一样。”“利用先进的云和边缘 AI 功能,该系统可以根据高保真井下测量自动选择钻井的最佳路线,使井眼轨迹与油藏的实际状况保持一致。通过钻探更稳定、产量更高的油井,我们的客户可以优化油田开发计划,同时在资产的整个生命周期内减少钻井产生的运营排放。”

神经自主地质导向技术以 SLB 的神经自主定向钻井技术为基础,该技术根据钻井计划将井钻至定义的钻井目标。更进一步的是,神经自主地质导向技术结合了高保真井下测量技术,确保将井位置于油藏的最佳位置。

 

 

 

原文链接/WorldOil

SLB launches autonomous geosteering to improve drilling performance, well placement

December 09, 2024

SLB has announced the launch of Neuro™ autonomous geosteering, a tool designed to dynamically responds to subsurface complexities to drill more efficient, higher-performing wells, while reducing the carbon footprint of the drilling operations.

Using AI, Neuro geosteering integrates and interprets complex real-time subsurface information to autonomously guide the drill bit through the most productive layer of the reservoir. During conventional geosteering operations, geologists must manually interpret this data to identify a well target, update the well plan and trajectory, and communicate this to the directional driller. Neuro geosteering completes these steps without the need for human intervention.

In Ecuador, SLB deployed Neuro autonomous geosteering to drill a 2,392-foot lateral section of an onshore well for Shaya Ecuador S.A. During this operation, SLB's autonomous system completed 25 autonomous geosteering trajectory changes, with each interpretation and decision cycle taking only seconds. By remaining in the most productive layer of the reservoir, the well has become one of the best producers in the country.

“Neuro autonomous geosteering is a remarkable industry-first achievement that is for drillers what the autonomous vehicle is for drivers,” said Jesus Lamas, president, Well Construction, SLB. “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. 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.”

Neuro autonomous geosteering builds on the technology foundation of SLB’s Neuro autonomous directional drilling, which drills wells to a defined well target in accordance with the well plan. Taking this a step further, Neuro autonomous geosteering incorporates high-fidelity downhole measurements that ensure certainty of well placement in the best part of the reservoir.