打破效率障碍:二叠纪油田服务公司竞相提升效率

随着页岩油产量增长放缓,NOV 和 ChampionX 等服务公司正在与运营商合作,优化油井设计,以提高油井生产率,并最终降低成本。


通过改进油井设计、钻井和完井技术(D&C)以及相关技术,效率得到了提升,从而提高了二叠纪盆地的产量。在德克萨斯州沃斯堡举行的哈特能源“超级钻井2025”大会暨博览会上,与会嘉宾表示,一些变革的影响比其他变革更大。

但即使是 D&C 中的一些最根本的改进也存在局限性。

PrePad公司的联合创始人兼首席执行官肖恩·赫沃 (Sean Hervo) 表示,大延伸水平井是提高效率最容易实现的技术之一,该公司提供基于云的软件来优化钻井和完井。

“如果你拥有连续的土地来真正延长你的井深,那么毫无疑问,随着井深的增加,你的每英尺成本会不断降低,”赫沃说道。“但有一个收益递减点,到了那个点就会弯曲。而且,根据你追求的价值驱动因素,从技术层面来说,你可能不想把它延长到极限。”

他补充道,同时压裂——即同时对多个油井进行压裂——是实现每英尺成本大幅降低的另一个手段。


有关的

美国能源信息署称,自2014年底以来,美国本土48个油井的完井数量翻了一番


随着页岩产量增长放缓,服务公司一直在与运营商合作优化油井设计,以提高油井生产率,并最终降低成本。

NOV首席技术官 David Reid指出扭转振动和电机改进等挑战性领域的创新。

“电机的改进意义重大,不仅仅是增加,实际上这是一个长期的过程,我们必须运行几个振动装置,这确实带来了变化,”里德说道,“所以,我们能够行驶的距离以及克服所有累积的摩擦力。”

ChampionX公司二叠纪地质市场高级副总裁Shankar Annamalai强调了提升、化学和数字化技术在优化生产和消除浪费方面的融合。使用数字技术和软件可以加快反应速度,他表示:“反应时间对我们的客户来说就是价值。”

Annamalai 表示:“在数字方面,闭环系统和算法能够收集我们从生产中获得的所有重要数据,并以比以前人工更快的速度进行干预,这就是我们看到生产效率提高的方式。然后,你将其与化学、与其他井下机械系统结合起来,我们就能看到建井后产量大幅提升。”

60美元合理

然而,在油价60美元的情况下,哪种完井技术——同步压裂、三段式压裂还是拉链式压裂——似乎并没有出现一种新兴趋势。小组成员一致认为,策略取决于预算、岩石地质状况以及其他因素。

“不同的运营商有不同的资产负债表。他们有不同的库存。他们压裂不同的岩石,”赫沃说。“所以,有些运营商在每桶60美元的油价下可能会保持稳定,因为这样就没问题了。而有些运营商的盈亏平衡点可能已经完全负担过重,或者接近这个水平,他们可能需要尝试不同的方法。”

赫尔沃表示,如果是后者,作业人员正在想方设法更快、更有信心地翻动更多岩石。

人工智能还能提供更多帮助吗?人工智能已经从一个流行词变成了一个更常见的概念。

预测学习被认为是人工智能的一个关键方面,几十年来一直在油田中用于预测未来结果或根据历史数据发现趋势。

“在我们的软件领域,我们已经做了20年的基础人工智能,因为我们做预测工作,所以我们在技术领域非常熟悉它,”里德说。“当然,在业务的每个部分,我们都在研究如何应用它?”“如果你看看钻井效率,我们有很多人工智能产品现在正在为钻井过程做出决策,并供我们优化。”

他补充说,NOV 正在将数字足迹应用到一切事物中,考虑到该公司在收购方面很活跃,这可能会带来好处。

“我们收购了很多公司。最终我们拥有许多复杂的系统,而我们面临的挑战是如何让数据以同一种语言相互交流,”里德说道。“这是整个行业面临的挑战。但我们已经能够教会模型读取不同来源的数据,这在整个过程中非常重要。”

软件业务崩溃?

Reid 对人工智能最有趣的观察之一是,由于任务是由人工智能完成的,因此编写的代码更少。

“这意味着软件行业将会崩溃,因为开发软件的价值和人工智能相互复制的能力实际上会摧毁软件的价值,”里德说。“所以,我对这个通常从我们口袋里掏钱的行业将会发生什么感到非常兴奋,我们将能够看到它被压垮,并将软件成本降低到非常非常低的价格。”

Hervo 表示,他还没有看到在数字孪生领域人工智能方面有任何能够改变游戏规则的举措。

“我们不可能通过‘我设计一个更好的 PrePad’来很快解雇我的开发人员,”Hervo 说道,“但我们能做的,本质上是帮助客户更轻松地使用我们模拟引擎的强大功能。我们正在快速地向这个方向发展。”我们做的一些事情确实有一些机器学习的方面,而且你已经看到客户非常出色地利用了他们的数据。我只是不认为这一定是真正意义上的人工智能。”

安纳马莱说,有时候,大量的数据和定制软件对运营商来说太过繁琐。

“但总有一天,你会问它:‘嘿,我的五口井中,哪些应该比预期产量更高?我们应该采取哪些干预措施?或者哪些井的问题最严重?’然后告诉我潜在的解决方案。” Annamalai 说。

利用已知的地层、地理、升力形式、井底压力等数据,正在努力改善与大量数据的交互。

“如今,任务繁重,我们的资源已经捉襟见肘,”Annamalai 说道,“我们真正关注的是如何让生产工程师更轻松、更少点击就能获得有价值的东西。”

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Breaking the Efficiency Barrier: Permian OFS Firms Race to Improve

Service companies such as NOV and ChampionX, working with operators, are optimizing well designs to boost well productivity and ultimately lower costs as shale production growth slows.


Efficiency gains through improved well designs, drilling and completions (D&C) and tech have led to higher production in the Permian Basin. And some changes have had a greater impact than others, according to panelists who spoke at Hart Energy’s SUPER DUG 2025 Conference & Expo in Fort Worth, Texas.

But even some of the most fundamental improvements in D&C have limitations.

Extended reach laterals are some of the lowest hanging fruit for efficiency gains, said Sean Hervo, co-founder and CEO of PrePad, which provides cloud-based software to optimize drilling and completions.

“If you have the contiguous acreage to actually push your well lengths longer, you are no doubt going to keep reducing your cost per foot as you go long and longer,” Hervo said. “But there is a point of diminishing returns where that is going to curve over. And depending on what kind of value drivers you’re chasing, you may not want to push it as far as you possibly can technically.”

Simultaneous fracking— the stimulation of multiple wells at once—is another lever being pulled to get a step-change in cost per foot, he added.


RELATED

Lower 48 Well Completions Doubled Since Late 2014, EIA Says


Service companies, working with operators, have been optimizing well designs to boost well productivity and ultimately, lower costs, as shale production growth slows.

David Reid, CTO for NOV, pointed to innovation in the challenging area of torsional vibration and motor improvements.

“Motor improvements have been a big deal, not just additive, but actually a long string where we’re having to run a couple of vibration devices and that’s really made a difference,” Reid said. “So, the distance that we’re able to go as well as to overcome all of the friction that builds up.”

Shankar Annamalai, senior vice president of Permian Geomarket for ChampionX, highlighted the intersection of lift, chemistry and digital for production optimization as well as eliminating waste. Using digital technology and software enables faster reaction, and “time to react is value for our customers,” he said.

“On the digital side, closed loop systems, algorithms that take all this great data that we’re getting from production and making interventions faster than humans would’ve done before is ways that we’re seeing production efficiency improve,” Annamalai said. “And then you tie that with chemistry, you tie that with other downhole mechanical systems, that’s where we’re seeing a tremendous amount of production uplift capability post-well construction.”

Making sense at $60

There doesn’t appear to be an emerging trend, however, when it comes to which completions technique—simul-fracs, trimul-fracs, zipper fracks—makes sense at $60 oil. Panelists agreed strategies depend on the wallet and the geology of the rock, among other considerations.

“Different operators have different balance sheets. They have different inventory. They’re fracking different rocks,” Hervo said. “So, some operators at $60 a barrel might just be steady as she goes because that’s fine. Whereas some operators, their breakeven may be fully burdened, or approaching that, and they may need to try different things.”

If the latter is the case, operators are seeking ways to turn over more rocks quicker and with confidence, according to Hervo.

Can AI be of further assistance? AI has transitioned from being a buzzword to more commonplace.

Predictive learning, which is considered a key aspect of AI, has been around for decades in the oilfield to forecast future outcomes or find trends based on historical data.

“In our software space, we’ve been doing basic AI for 20 years because we do predictive work, so we’re very familiar with it in a technical space,” Reid said. “But of course, in every part of the business we’re looking at [how] can we apply it? … If you look at drilling efficiency, we have a lot of AI products that are now making the decisions in the process and for us to optimize.”

He added that NOV is applying digital footprints into everything, which can prove beneficial considering the company is active on the acquisitions front.

“We buy a lot of companies. We end up with a lot of complex systems, and our challenge is to get data to talk to each other in the same language,” Reid said. “That’s the challenge across the whole industry. But … we’ve been able to teach models to read from different sources, which is quite important in the journey.”

Software business collapse?

Among the most interesting of Reid’s AI-related observations is less code is being written because AI is doing the task.

“What that means is the software business is going to collapse itself because the value of making software and the ability of AI to copy each other is actually going to destroy the value of software,” Reid said. “So, I’m quite excited for what’s going to happen in a business that generally has been taken money out of our pocket, and we’re going to be able to see it crushed down and take software costs to the very, very low prices.”

Hervo said he hasn’t seen any game-changers in terms of AI in the digital twin space for completions.

“We’re not going to be able to get rid of my developers anytime soon [by saying] ‘AI, design a better PrePad,’” Hervo said. “But what we can do is help our clients more easily use the power of our simulation engine, essentially. That’s a place where we’re continuing to lean into quite rapidly. … And there’s absolutely some machine learning aspects of some of the things we do, and you’ve seen clients leverage their data exceptionally. I just wouldn’t call it necessarily AI in the truest form of AI.”

The abundance of data and bespoke software is sometimes it’s too much for operators, Annamalai said.

“But there is a day coming, where you’re just going to ask it, Hey, what are my top five wells that should be producing better than they should? And what are the recommended interventions that we should do? Or which of these wells are the most problematic? And give me potential solutions,” Annamalai said.

With information such as the formation, geography, form of lift, bottom hole pressure and other data already known, efforts are improving interaction with tremendous amounts of data.

“Today it is overwhelming, and we’re already stretched thin in terms of our resources,” Annamalai said. “We’re really focused on how do we make it easier, less clicks for production engineers to get to something that delivers value.”

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