DrillDocs 首次在挪威大陆架使用人工智能计算机视觉

发布者:
, 《油田技术》高级编辑


DrillDocs 是一家数字页岩振动筛监控技术的先驱提供商,该公司首次成功利用计算机视觉技术自动检测 NCS 上的塌陷。

DrillDocs 首次在挪威大陆架使用人工智能计算机视觉

DrillDocs 与 Aker BP 密切合作,在挪威大陆架 Fenris 油田钻探时,将 CleanSight® 技术部署在 Noble Integrator 钻机上。在完成钻探时,共监测了 12 个区块,总长超过 13,000 米,包括 16 英寸、12 英寸和 8 英寸区块。

CleanSight 系统采用专为危险环境设计的高规格 Axis Communications 摄像机。该技术具有实时图像分析的机载处理能力。DrillDocs 的专利和专有图像处理算法持续监控离开钻机页岩振动筛的材料。此功能使该技术能够计算回收的固体的数量、形状和大小。CleanSight 提供的数据有助于做出更好、更快的决策,从而提高钻井性能、井眼稳定性和固体控制操作。

在引入 DrillDocs 技术之前,钻井人员只能通过目视检查定期监控页岩振动筛。这意味着,经常会错过偶尔出现的塌陷,而这些塌陷是潜在钻孔不稳定的早期预警。当钻井人员意识到钻孔变得不稳定时,发生封堵事件(通常会导致钻柱卡在孔中)的风险已经很高了。新方法允许钻井人员近乎实时地对井筒中发生的事件做出反应,从而大大降低了封堵风险以及从卡管事件中恢复时产生的非生产时间和成本。

DrillDocs 创始人兼首席执行官 Calvin Holt 表示:“我们的技术可以捕捉和解读重要信息,从而提高钻井效率和安全性。通过结合相机技术和数据科学的进步,我们能够及时发现正在发生的钻井和井筒稳定性问题,并在问题变得更严重之前提醒钻井团队采取纠正措施。”

“这一重要里程碑巩固了 Aker BP 通过应用尖端技术提高钻井性能和安全性的承诺,”Aker BP 钻井主管 Knut Eugen Svendsen 评论道。“随着这项技术不断成熟,我们看到了将其部署到我们承包的钻井队伍中的潜力,它可能会成为全球海上和高风险油井标准钻井实践的一部分。”

 

 

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在线阅读文章:https://www.oilfieldtechnology.com/drilling-and-production/26022025/drilldocs-uses-ai-enabled-computer-vision-on-the-norwegian-continental-shelf-for-the-first-time/

原文链接/OilFieldTechnology

DrillDocs uses AI-enabled computer vision on the Norwegian Continental Shelf for the first time

Published by , Senior Editor
Oilfield Technology,


DrillDocs, a pioneering provider of digital shale shaker surveillance technology, has successfully utilised computer vision technology to automatically detect cavings on the NCS for the first time.

DrillDocs uses AI-enabled computer vision on the Norwegian Continental Shelf for the first time

Working closely with Aker BP, DrillDocs’ CleanSight® technology was deployed on the Noble Integrator rig while drilling in the Fenris field on the Norwegian Continental Shelf. At the time of the achievement, twelve sections had been monitored, totalling over 13 000 m, including 16½ in., 12¼ in. and 8½ in. sections.

The CleanSight system uses high-specification Axis Communications cameras designed for hazardous environments. The technology features on-board processing capability for real-time image analysis. DrillDocs’ patented and proprietary image-processing algorithms continuously monitor material as it exits the rig’s shale shakers. This capability allows the technology to calculate the amount, shape, and size of solids being recovered. The data provided by CleanSight enables better and faster decision making that can lead to enhanced drilling performance, borehole stability, and solids control operations.

Prior to the introduction of DrillDocs’ technology, shale shakers were only monitored on a periodic basis by drilling rig staff making visual inspections. This meant that sporadic cavings, which offer an early warning of potential borehole instability, were frequently missed. By the time crews realised that the borehole was becoming unstable, the risk of a pack-off event – which often leads to the drill string becoming stuck in the hole – was already elevated. The new approach allows the drilling crew to react in near-real-time to events happening in the wellbore, significantly reducing the risk of pack-off and the non-productive time and costs incurred when recovering from stuck pipe events.

"Our technology captures and interprets vital information that can lead to improved drilling efficiency and safety," said Calvin Holt, founder and CEO of DrillDocs. "By combining advances in camera technology and data science, we’re able to detect drilling and wellbore stability issues as they are occurring, alerting the drilling team to take corrective action before they become much bigger problems."

“This important milestone reinforces Aker BP's commitment to enhancing drilling performance and safety through the application of cutting-edge technology,” commented Knut Eugen Svendsen, Drilling Superintendent at Aker BP. “As this technology continues to mature, we see a potential for deploying it across our contracted rig fleet, and it could become a part of standard drilling practice on offshore and high-risk wells worldwide.”

 

 

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Read the article online at: https://www.oilfieldtechnology.com/drilling-and-production/26022025/drilldocs-uses-ai-enabled-computer-vision-on-the-norwegian-continental-shelf-for-the-first-time/