无论是通过人工智能引导的自动决策优化生产，还是控制边缘的腐蚀抑制剂注入，数字技术都在改变 Vital Energy 的潜力。

Vital Energy（前身为 Laredo Petroleum）于 2020 年创建了一个概念验证，通过将传感器数据与人工智能和边缘计算相结合来实现电动潜水泵 (ESP) 操作的自动化，从而提高油井的产量。 

随着公司实施智能井计划的各个阶段，在 ESP 优化概念验证期间，其产量增加了 400 桶/月；通过增加气举优化概念验证，其产量增加了 1,400 桶/月；通过加入物理约束和增加 ESP 健康监测解决方案，其产量增加了 6,600 桶/月；现在，通过自动化边缘 ESP 控制，其产量增加了 45,000 桶/月。

Whether it is optimizing production enabled by AI-guided automated decision-making or controlling corrosion inhibitor injection at the edge, digital technology is transforming Vital Energy’s potential.

Vital Energy, formerly known as Laredo Petroleum, created a proof of concept in 2020 that would improve production from its wells by combining sensor data with AI and edge computing to automate electrical submersible pump (ESP) operations. 

As the company implemented various phases of the Intelligent Well Program, it saw production increase by 400 bbl/month during the ESP optimization proof of concept, by 1,400 bbl/month with the addition of the gas lift optimization proof of concept, by 6,600 bbl/month through the inclusion of physics constraints and the addition of an ESP health monitoring solution and now by 45,000 bbl/month by automating ESP control at the edge.