世界石油


(彭博社)“在休斯敦一个黑暗的控制室里,拉斐尔·格德斯(Rafael Guedes)在监视器上看到一个机器人接管了北达科他州油田的一个钻井平台,将人类操作员拒之门外。

当人工智能程序接管遥远的纳伯斯工业有限公司钻机时,发光的红色盒子照亮了屏幕,通过卫星发送指令并做出瞬间决定,以尽可能顺利地钻穿岩石。该公司性能工具总监 Guedes 估计,Corva LLC 的程序将为操作员在钻井时节省约 5,000 个命令,并将速度提高至少 30%。

“这一切都是自动化的,司钻无需按下任何按钮,”格德斯说道,屏幕上的绿线跟踪着钻头在地下的路径。“如何将你的脑力用于其他事情。”

长期以来,石油和天然气行业大多将人工智能归咎于评估地震勘测等后台任务,同时将钻井和水力压裂牢牢掌握在人类手中。现在,公司越来越多地使用人工智能、机器学习和远程操作来加快钻井速度,提出更好的压裂方法并预测主动井泵何时发生故障。

其目标是利用新兴技术降低成本并帮助从地下开采更多石油,这可能会破坏石油输出国组织控制全球石油生产和提振价格的努力。

Nabors 高级副总裁 Subodh Saxena 表示,“页岩井的采收率达到 8%”。“如果这一点能够改进,那么奖金的数额将是惊人的。”

随着钻井人员和生产商不懈地致力于提高效率,先进的人工智能正在油田站稳脚跟。虽然该技术正在全球范围内进行测试,但美国也许是最值得关注的地方。

德克萨斯州、北达科他州和其他州的页岩盆地长期以来一直是寻找更快、更便宜的石油开采方式的实验室,使美国成为世界最大的石油生产国。

根据行业数据提供商金伯利国际油田研究公司 (Kimberlite International Oilfield Research) 的数据,在过去五年中,承包商将钻一口井的大约两周时间缩短了一天,将压裂平均所需的 11 天时间缩短了三天。

他们通过广泛组合新技术和工艺来实现这一目标,包括钻探长达 3 英里的水平井。现在,人工智能有望带来更大的收益。

效率的提高应该会带来成本的降低。Evercore ISI 分析师 James West 预计,公司将在未来几个财政季度开始宣传人工智能带来的成本节约。“这将显着节省成本,至少达到两位数,但在某些情况下可能会节省 25% 到 50% 的成本,”他说。

由于部署刚刚开始,现在判断对就业的潜在影响还为时过早。但这项技术可以帮助公司克服近年来遇到的工人短缺问题。油田猎头公司 Airswift Holdings Ltd. 最近对全球能源工人进行了调查,他们表示对人工智能持开放态度,大多数人表示人工智能可以提高他们的工作满意度和生产力。

该技术不仅在页岩地层中进行了测试,还在海上油田中进行了测试。全球最大的石油服务提供商 SLB 在 1 月份宣布,它在巴西沿海自主钻探了 5 口井的部分区域,从而将钻探时间缩短了 60%。

 

主要图片(来源:世界石油)


原文链接/oilandgas360

World Oil


(Bloomberg) – From a dark Houston control room, Rafael Guedes watched on a monitor as a robot took charge of a drilling rig in a North Dakota oil field, locking out the human operator.

Glowing red boxes lit up the screen as an artificial intelligence program took over the distant Nabors Industries Ltd. rig, beaming instructions by satellite and making split-second decisions to drill through the rock as smoothly as possible. Guedes, the company’s director of performance tools, estimates the program from Corva LLC will save the human operator about 5,000 commands while drilling the well and increase the speed by at least 30%.

“This is all automated — the driller doesn’t have to press anything,” said Guedes, as a green line on screen tracked the drill bit’s path underground. “Now you can use your brain power for something else.”

The oil and gas industry has long mostly relegated artificial intelligence to back-office tasks like evaluating seismic surveys, while keeping drilling and hydraulic fracturing firmly in human hands. Now companies are increasingly using AI, machine learning and remote operations to drill faster, suggest better ways to frac and predict when active well pumps will fail.

The goal is for the emerging technology to cut costs and help squeeze more oil from the ground, threatening to undermine efforts by the Organization of the Petroleum Exporting Countries to rein in global oil production and boost prices.

“A shale well gets an 8% recovery rate,” said Subodh Saxena, senior vice president at Nabors. “If that can be improved, the size of the prize is phenomenal.”

Advanced AI is gaining a foothold in the oil field as drillers and producers are relentlessly focused on improving efficiency. While the technology is being tested around the globe, the U.S. is perhaps the most important spot to watch.

The shale basins of Texas, North Dakota and other states have long been laboratories for discovering faster and cheaper ways to pump oil, turning the U.S. into the world’s top producer.

Over the past five years, contractors have shaved a day off the roughly two weeks it takes to drill a well and three days off the 11-day average for fracing one, according to industry data provider Kimberlite International Oilfield Research.

They’ve done it with a broad mix of new technologies and techniques, including drilling horizontal wells up to 3 miles long. Now AI holds the promise of even greater gains.

Improved efficiency should bring lower costs. James West, an analyst with Evercore ISI, expects companies to start touting their cost savings from AI in the next few fiscal quarters. “There’ll be significant cost savings, at a minimum double digits, but probably in the 25% to 50% of cost savings in certain scenarios,” he said.

With deployment just getting underway, it’s too soon to know the potential impact on jobs. But the technology may help companies overcome worker shortages they’ve experienced in recent years. Energy workers worldwide recently surveyed by Airswift Holdings Ltd., an oil-field headhunting firm, indicated an openness to AI, with most saying it could boost their job satisfaction and productivity.

The technology is being tested not just in shale formations but in offshore oil fields. SLB, the world’s biggest oil-services provider, announced in January that it autonomously drilled sections of five wells off the coast of Brazil, leading to a 60% faster drilling time.

 

Lead image (Credit: World Oil)