SLB 推出了 Neuro 自主地质导向技术，可应对地下复杂情况。Neuro 地质导向技术利用人工智能 (AI) 整合和解释复杂的实时地下信息，以自主引导钻头穿过储层中产量最高的层或“最佳位置”。

在常规地质导向作业中，地质学家必须手动解释这些数据以确定井目标、更新井计划和轨迹，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所有这些步骤。

在厄瓜多尔，SLB 部署了 Neuro 自主地质导向系统，为 Shaya Ecuador SA 钻探陆上油井的 2,392 英尺水平段。在此操作中，SLB 的自主系统完成了 25 次自主地质导向轨迹变化，每次解释和决策周期仅需几秒钟。

SLB introduced Neuro autonomous geosteering, which responds to subsurface complexities. Using artificial intelligence (AI), Neuro geosteering integrates and interprets complex real-time subsurface information to guide the drill bit autonomously through the most productive layer or “sweet spot” 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 does all of these steps without human intervention.

In Ecuador, SLB deployed Neuro autonomous geosteering to drill a 2,392-ft 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.