Nabors 认为数字孪生技术可提高钻机安全性

现实世界钻台的虚拟建模可以帮助机器人将人类从最危险的工作中解放出来。

保罗·怀斯曼,撰稿人

钻井巨头 Nabors 最近收购了数字孪生公司 MindMesh,其动机是提高效率,用钻井行业的话说就是“更快触底”。 

Nabors 也曾在该公司工作过,在过去 10 年里与 MindMesh 进行了广泛的合作。 

数字孪生是一种旨在准确反映物理对象的虚拟模型,许多行业都使用数字孪生进行规划和模拟,这引起了纳伯斯的兴趣。

与人类不同,数字双胞胎不会被压碎、烧伤或骨折。

Nabors 数字解决方案副总裁布雷特·谢伦伯格 (Brett Schellenberg) 表示,该公司的目标是让人员远离钻井平台最危险的区域。 

“这是唯一一家允许我们的员工悬挂在 95 至 105 英尺高的开放空间上,同时旋转设备在其上运行,并且同时有两个人站在同一台设备下方的重工业企业, “他说。“当你意识到这一点时,你就会发现现在已经是 2023 年了,而我们作为一个行业,已经在尝试改变这一现状方面取得了重大进展。”

他说,纳伯斯正在努力使人们免受坠落物体、重型设备和旋转设备的伤害,同时实现任务自动化。 

“我认为大多数人都会同意这是一项值得的努力,”他说。

“机器人没有眼睛”

其他行业,例如制造业,已经普遍实现了一些最危险和重复性任务的自动化。石油和天然气钻探的编排是不同的。

例如,在水瓶制造过程中,数以千计的瓶子多年来每天都以相同的方式通过系统。 

但石油和天然气钻探很少如此可预测。设备——新的井底组件、旋转头装置或管架——在整个过程中不断出现和消失。这种不断的变化使得不可能设定一个程序并让它永远运行。 

在规划阶段使用数字孪生可以帮助教会机器人如何在整个钻井过程中平稳高效地操作。

“近年来,我们对地上和地下的建模和仿真非常感兴趣,”谢伦伯格说。 

数字孪生建模对于机器人规划非常重要,因为钻机和设备的组合几乎有无限种可能。在这样的环境中,自动化系统设计必须考虑每个位置的每个组件。借助 MindMesh 数字孪生,规划人员可以聚合这些组件,测试多种可能的配置,并预测它们将如何协同工作以及机器人如何围绕它们工作。

这与规划和日常运营中的愿景有关。 

“这些机器人没有眼睛,”谢伦伯格说。“因此,您需要某种数字模型或模拟来告诉该设备如何正确地穿过该空间。”

实时监控还可以进行动态调整。 

“工程师不再只是在点击“开始”之前输入一些配置并将其发送到钻机,现在系统会不断更新其拥有的新信息,”他补充道。 

更快地到达底部

Nabors 在三个区域使用 3D 模型:地下、钻台以及钻台周围的各种机械和设备,例如泵、发动机和泥浆罐。 

“当你将这三个组件组合在一起时,我认为这就是为我们客户的钻机提供强大的可见数字双胞胎的最终目标,”谢伦伯格说。

虽然安全很重要,但钻井人员也希望更有效地探查到底。 

谢伦伯格表示,造成时间损失的最大问题之一是起下钻,或者从井中拆除和更换钻杆以更换钻头或钻柱的另一部分。如果司钻以错误的方式返回底部,则可能会发生此类故障。 

即使采用自动化,返回底部的程序通常也是基于最佳实践,这具有一定的价值。但他们可能没有考虑到所有可能的变量。数字孪生建模和实时监控可以在此过程中进行适当的调整,以防止因损坏或维修而造成的延误。

Nabors 已经有两台全自动钻机投入使用,即大约两年前部署的 R801 和 2022 年秋季投入使用的 X29。 

“对于这两个钻机,为了扩展它们,需要真正强大的模拟和建模,”他说。

建造更好的装备

使用数字孪生可以帮助工程师针对每种情况下存在的钻台进行规划。但它能更进一步,真正创造一个理想的工作空间吗?谢伦伯格说是的,“但有一个问题:成本。”

设计新钻机需要投资 3000 万至 4000 万美元,目前尚不现实。 

“我们必须为他们提供的解决方案资本密集程度较低,从而利用现有设备和钻机为他们带来最大价值,”他说。

目前,纳伯斯的最佳选择之一是数字孪生。

原文链接/hartenergy

Nabors Sees Digital Twin Tech Improving Safety on Rigs

Virtual modeling of real-world rig floors can help robots relieve humans of the most dangerous jobs.

Paul Wiseman, Contributor

Drilling giant Nabors’ recent purchase of digital twin company MindMesh was motivated by improving efficiencies and, in the drilling industry vernacular, “getting to bottom faster.” 

Nabors also had a history with the company, having worked extensively with MindMesh over the past 10 years. 

A digital twin is a virtual model designed to accurately reflect a physical object, and many industries use digital twins for planning and simulation, which is what drew Nabors’ interest.

And digital twins, unlike humans, cannot be crushed, burned or suffer broken bones.

Brett Schellenberg, Nabors vice president of digital solutions, said the company aims to remove people from the most dangerous areas of the rig floor. 

“We are about the only heavy industrial business that allows our people to hang from 95 to 105 ft over an open space while a rotating piece of equipment runs up at it, and simultaneously have two people that stand underneath that same piece of equipment,” he said. “When you realize that, you see it’s 2023, and we as an industry haven’t already made significant strides to try to change that.”

He said Nabors is trying to move people out of harm’s way from dropped objects, heavy equipment and rotating equipment, while also automating tasks. 

“I think most can agree that that’s a worthwhile effort,” he said.

‘Robots don’t have eyes’

Other industries, such as the manufacturing sector, have already generally automated some of their most dangerous and repetitive tasks. Choregraphing oil and gas drilling is different.

In manufacturing water bottles, for example, thousands of bottles go through the system daily the same way for years. 

But oil and gas drilling is rarely so predictable. Equipment —a new bottom hole assembly, a rotating head installation or a pipe rack — comes and goes throughout the process. That constant change makes it impossible to set one program and let it run forever. 

Using digital twins in the planning stage can help teach robots how to operate smoothly and efficiently across the entire drilling process.

“We have in recent years been very interested in modeling and simulation, both above ground and below ground,” Schellenberg said. 

Digital twin modeling is important for robotics planning because there are almost endless possible combinations of rigs and equipment. In such an environment, automation system design must take each component into account at every location. With the MindMesh digital twin, planners can aggregate those components, test a number of possible configurations and predict how they will work together and how robots can work around them.

It’s about vision, both in planning and in daily operation. 

“These robots don’t have eyes,” Schellenberg said. “So you need to have some sort of digital model or simulation to tell this equipment how it can appropriately move through that space.”

Real-time monitoring also empowers on-the-fly adjustments. 

“Rather than an engineer just putting in some configurations before hitting ‘go’ and sending it to the rig, now the system is constantly updating with the new information it has,” he adds. 

Getting to the bottom faster

Nabors uses 3D models in three areas: underground, on the rig floor and for various pieces of machinery and equipment around the rig site, such as pumps, engines and mud tanks. 

“When you take those three components and combine them together, I think that’s the ultimate goal of having a robust visible digital twin for our customers’ rigs,” Schellenberg said.

While safety is important, drillers also want to get to bottom more efficiently. 

Schellenberg says one of the biggest issues in lost time is in tripping, or removing and replacing drill pipe from the well to change a bit or another piece of the drill string. Such failures can occur if the driller goes back to the bottom the wrong way. 

Even with automation, the return-to-bottom procedures are often based on best practices, which are of some value. But they may not take into account all possible variables. Digital twin modeling and real-time monitoring can make appropriate adjustments along the way to prevent delays due to damage or repairs.

Nabors already has two fully automated rigs in use, the R801, deployed about two years ago and the X29, put in use in the fall of 2022. 

“For both of those rigs, in order to scale them, really robust simulation and modeling are required,” he said.

Building a better rig

Using a digital twin can help engineers plan for the rig floor as it exists in each case. But could it go further and actually create an ideal work space? Schellenberg says yes —but there’s a catch: cost.

Designing a new rig would involve an investment of $30 million to $40 million, which is not currently practical. 

“The solution we must provide them is less capital intensive, which maximizes value to them, using existing equipment and rigs,” he said.

For now, one of Nabors' best options is a digital twin.