非常规/复杂油藏

JPT 报道的 25 年技术

压裂、钻井和油藏工程方面的创新亮点包括神秘的小熊软糖、马蹄形井和自动化钻机。

油田现场,傍晚,油泵正在运转
资料来源:Zhengzaishuru/Getty Images/iStockphoto。

过去 25 年标志着页岩气成为石油和天然气生产的下一个前沿领域,而JPT 休斯顿办事处正处于这一切的中心。

发起这一颠覆性变革的功劳要归功于乔治·P·米切尔 (George P. Mitchell),他领导了长达 17 年的努力,从巴尼特地层的超致密岩石中提取天然气。JPT 的一篇报道描述了 1998 年,当 Mitchell Energy 的工程师转向在其垂直井中采用成本更低的滑溜水压裂技术时,这项工作最终看起来是一项重要的、有利可图的业务。

这场反复试验的工程马拉松的成功当时并没有引起人们的注意。但这一种子后来发展成为一项巨大的业务,其基础技术表明,利用大规模压裂和更长的水平井,可以从几乎不渗透的岩石中生产石油和天然气,并从中获利。

在接下来的几十年里,这对钻井、压裂和油藏工程产生了影响,这些学科基于物理学的世界观无法预测这种情况将如何发生。

随着报道新兴技术的记者不断增多, JPT 的员工不断壮大​​,我们周围发生的事情也无法被忽视。

该杂志重点介绍了沙特阿拉伯未来的油藏监测理念和巴西深水技术的进步,但这个石油产量多于利润的备受瞩目的业务的繁荣和萧条却不断以有趣的方式发生变化。

我在 2011 年报道的第一届 SPE 水力压裂技术会议对于这个技术新手来说既令人惊奇又令人困惑。我想知道他们如何创造出看起来像鞋盒的断裂区域。

在一场早期的展会上,一位演讲者建议那些相信压裂知识始于页岩的人们进一步回顾 OnePetro。

这些论文的作者之一是戴夫·克莱默 (Dave Cramer),他是康菲石油公司 (ConocoPhillips) 的高级工程研究员,他在大学毕业并获得工商管理学位并在北美西部公司找到工作后开始学习压裂技术。

过去 25 年的独特变化是压裂规模的扩大。“我就像一座工厂,但我们刚开始的时候它还不是一家工厂,”他说。

在过去的25年里,压裂专家做了很多创新的事情。他自豪地记得参与 Amoco 的一项工作,当时他们将 600,000 加仑的凝胶液体和 130 万磅的大目砂泵入科罗拉多州 DJ 盆地一口井的 35 英尺致密砂岩部分。

那天早上,他讲述了这个故事,当时他正在评估加拿大的一口完井,康菲石油公司在该井的每个压裂阶段使用滑溜水泵送 970,000 磅沙子。

从某些方面来说,1978 年的工作对他来说更加重要。整个工作针对一个目标,而且非常复杂:根据实验室测试和裂缝建模,随着工作的进展,他们泵送了五种不同的流体混合物。

虽然他认为当时压裂致密岩石的技术能力被低估了,但现在的支管有数英里长,需要增产数百个簇,这些井要复杂得多,这导致工程师对数据产生了永不满足的胃口,他们不断感到压力更高的产量和效率。

”诊断要好得多。当时唯一可用的就是进行压力分析,”他说。除此之外,现在还有多种测量方法,包括光纤电缆、穿孔的井下图像、微震以及评估每种诊断成分优缺点的多个测试站点。

为了跟上工作的规模和节奏,用于输送物资和进行压裂的硬件和方法已经迅速发展。现在有多种方法可以同时压裂多口井、数字化控制压裂以及使用大型泵,通过逐步淘汰柴油泵来减少排放和成本。

2014 年油价暴跌后,削减成本成为人们的痴迷,工程师们找到了更便宜的替代品。

十年前,运营商愿意根据他们衡量谷物质量的方式支付从威斯康星州进口沙子的费用。现在使用的大部分材料都是在附近开采的,几乎消除了运输成本,而且这些细粒度的替代品似乎已经足够好了。“我们尝试了垃圾级沙子,但几乎没有看到产量损失,”克莱默说。

虽然裂缝建模已经变得更加复杂,但他表示需要通过反复试验进行测试,因为很难预测注入地层时会发生什么变化。

进步将继续取决于那些说“我们尝试一下”的人;这听起来很疯狂,但让我们看看这口井是如何生产的。”

以下是JPT对过去 25 年来压裂、钻井和油藏工程变化的报道要点。

如果你建造一个自动化装备,你会告诉它做什么?

NOV 制造的第一间钻井室的照片是 20 世纪 90 年代末石油行业未来的愿景之一。

与司钻在钻台上用手握住制动手柄工作的时代相比,这是一个巨大的变化。

新钻台上的显示屏、操纵杆和高性能座椅都是钻机外常见的景象。但这个新的指挥中心标志着数字世界已经开始侵入主要以液压为基础的勘探和生产世界。

“在我进入这个行业之前,钻探的重点是增加肌肉和更加努力地工作,”现在为初创公司提供咨询的特雷·梅班 (Trey Mebane) 说。从那时起,更多的力量仍然很重要,但数字控制系统和从中流出的数据也很重要。

他是 20 世纪 90 年代中期被 NOV 和其他服务公司聘用以实现这一变革的新人之一。它需要他在计算机科学和技术商业化方面的知识来帮助其销售新一代设备。

当很明显下一代海上钻机上的设备对于传统液压控制系统来说过于复杂时,设备供应商不得不转向工业中广泛使用的基于计算机的数字控制系统。

当时,当他向司钻询问数字显示器和第一代自动钻机时,他被告知一切都很好。但最好的事情是坐在气候控制舱内舒适的椅子上工作。它所缺少的只是一个杯架,这个问题很快就得到了解决。

NOV 为早期 Helmerich & Payne FlexRig 建造的司钻室。
NOV 为早期 Helmerich & Payne FlexRig 建造的司钻室。
资料来源:特雷·梅班。

进而

25 年前并不明显的是,创建该控制系统所需的数字数据流和处理能力最终会导致可编程控制系统的出现,从而改变钻井工程师的工作。

到 2008 年,服务公司和石油公司的数字化一代创建了 SPE 钻井系统自动化技术部门,目标是推动行业走向钻机完全自动化的那一天。

当时,按下按钮打井的想法听起来是不可避免的。同年,Helmerich & Payne (H&P) 启动了收集和分析数据的长期工作,作为创新数字控制系统的基础。多年后,他们加倍努力建造了一支 FlexRig 车队,展示了这一赌注的价值,该车队提供了更多的力量和智慧,减少了停机时间,从而实现更高效的钻井。

2018 年,在 H&P 收购了制作该程序的公司后,H&P 采取了下一个合乎逻辑的步骤——将这些命令输入钻井控制系统,以实现“工厂般的一致性”,约翰·林赛 (John Lindsay) 说

创新运营商和服务公司专注于打造未来的自动化钻机。2014 年油价暴跌后,焦点突然转移。

阿帕奇放弃了开发全自动装备的计划。但不久之后,它开始研究如何通过充分利用数据、软件和先进的统计分析来更好地钻探。

“我们发现至少有一个小机会可以利用我们的钻机数据(即 1 Hz 实时数据)做更多事情,将其与上下文数据结合起来,使其成为有用的东西, ”该项目的负责人迈克尔·贝霍内克 (Michael Behounek) 说道,他现已退休,目前担任顾问。

换句话说,他们想弄清楚如何最好地管理这项工作并确保遵循这些程序。传统上,司钻更有可能被告知:“这是你的钻头,开始操作,尽力而为。” 这是完全不同的事情,”德克萨斯农工大学教授弗雷德·杜普里斯特说。

20 世纪 90 年代末,一名司钻在配备了当时全新显示器的钻机上工作。
20 世纪 90 年代末,一名司钻在配备了当时全新显示器的钻机上工作。
资料来源:特雷·梅班。

钻机上的数字控制系统越来越多地可以按照最佳实践进行编程,以确保遵循它们。工程师的工作是找出系统中的缺陷并修复它们。

Hess 的钻井工程顾问马特·伊斯贝尔 (Matt Isbell) 将其流程改进计划比作一场斗智斗勇。

8 年来,阿帕奇的钻井改进方法使钻井成本同比节省了 10%,并被钻井人员在各种作业区的 1,700 多口井中使用。

然而,概率钻井顾问也有其局限性。一篇描述该系统的论文称,它“只是带来了机会——现场人员和工程师采取了系统提供的正确行动和决策,从而实现了改进。”

请不要有树根

2015 年 JPT 的一篇报道提出了这样的问题:骨折是什么样子的?

它是由对断裂插图感到恼火的工程师和地球科学家挑起的,比如哈里伯顿研究员诺姆·沃平斯基(Norm Warpinski),他说,“它们看起来不像树根。” 事物不会像玻璃一样破碎并向四面八方流动。”

其他人还抱怨破裂的插图看起来像闪电或树根。

虽然地质学家指出了自然模型,但压裂咨询公司 NSI Technologies 的创始人兼总裁迈克·史密斯 (Mike Smith) 表示,“人们的心理形象会因地层和地质环境的不同而有所不同。” 这取决于你在哪里。”

他描述了压裂液与地层相互作用的力。“它会碰到第一个天然裂缝,然后转向任意方向,然后继续前进,直到遇到另一个裂缝,再次分裂,然后开始穿越整个国家。”

此后的几年里,在寻找观察裂缝扩展、相互作用以及它们如何随时间变化的方法方面取得了进展,包括来自一系列压裂试验地点的论文。

该图是在线提供的典型图,显示了水力压裂的样子。 专家表示,这样的插图并不能代表骨折的样子。
该图是在线提供的典型图,显示了水力压裂的样子。专家表示,这样的插图并不能代表骨折的样子。
资料来源:FracFocus。

基于这些,艺术家会在井周围布满大量裂缝(最细如细线),并在更远的地方出现一些大裂缝。有时其中一些可以延伸数千英尺。

骨折区域的形状很少是对称的。有时,生长会因较大的断层而受阻。老生产井周围的枯竭区会吸引裂缝,这很可能会影响另一口井,从而减少所有井的产量。

应力监测的最新进展甚至可以追踪骨折的生长。信号中的模式可以定义裂缝的发育,事实证明这比微震更准确。

现在看来可以肯定骨折是不同的。

完美在于细节

井下的进步来自于对细节的关注,通常是小细节,例如套管上用于压力泵送的孔。

当 EV 开始对井进行成像时,早期客户包括压裂专家,例如康菲石油公司完井高级工程研究员戴夫·克莱默 (Dave Cramer),他认为这是一种直接观察泵送的水和沙子实际流向的方式。

他们预计会看到基于之前使用光纤进行的研究的差异,表明流体遇到的一系列射孔中的第一个射孔导致了大的压裂,而后来的射孔几乎没有受到刺激。井下图像使工程师能够在井中看到这一点。最终,随着技术的进步,可以进行测量。

这些证据导致了一段时间的实验。最终,这导致大多数操作员选择有限进入方法来确保所有射孔都得到增产。他们专注于打出均匀的孔,限制流量,以便根据泵出足够的水和沙子来刺激所有人的计划更好地分配水和沙子。

流量仍然存在差异,但关注这些漏洞已经证明了其价值。

来自地狱的小熊软糖

多年来,俄克拉荷马州的油井中不断涌出黑色口香糖,经常堵塞生产设备。

这些“木熊”的来源一直是个谜,直到 Downhole Chemical Solutions 技术副总裁 Mark Van Domelen 在一篇论文《2020》中报道了这一故事。他确定了来源:井中富含铁的岩石与高浓度的某些类型的减摩剂相互作用,产生了橡胶状聚合物。

这种油井泥的橡胶质地
这种油井粘稠物的橡胶质地启发了小熊软糖这个名字。一种物质被赋予了许多名称,而其起源现在才刚刚变得清晰。
资料来源:井下化学解决方案。

问题在于,添加到压裂液中的聚合物带有正电荷,以减少阻力,并且通常会使其变稠,以使其能够输送更多的沙子。当消息在JPT传出后,其他地方的生产商也注意到了这个问题。

买家开始建议客户在存在反应性化学物质时避免使用带正电荷的配方。

对于一个庞大的行业来说,这只是一个小问题,但它引发了关于其他化学反应的问题,例如在地下快速降解的表面活性剂或堵塞裂缝网络的聚合物泥。

石油工程顾问乔治·金根据他的教学经验提出了可能的根本原因。”该死的减摩剂和铁!工程师不懂化学!”

横向思维之外

有些创新在当时听起来很疯狂,比如壳牌钻马蹄形井的故事。

网上提到的这项工作最初听起来像是钻井工程师可能会冒险完成的事情。事实证明这是一种在极端条件下打井的方法。由于泥浆流失严重,原计划的直井无法钻探,马蹄井填补了井场的空白。

他们在平台上延伸了另一口井,并在第二条支线 5,000 英尺长的路径上设置了一个弯曲环,然后将其压裂。这一切都是用现成的设备完成的。

“这口井的伟大之处并不在于它是新的、新颖的和创新的,”跟踪这项工作的钻井市场研究公司吉布森报告的联合创始人兼首席执行官戴维·吉布森说。“这”是它引发了令人惊奇的对话。关于挑战现状的对话——考虑到当前的市场和环境,我们都需要追随壳牌的领导,在各个方面跳出框框思考。”

不要放慢速度

2022 年,埃克森美孚与 Nabors 的“全自动化”钻机签订了合同,该钻机在地面装卸钻杆上配备了引人注目的机器人,以检验其性能是否优于不太复杂的钻机。

虽然 Pace-R801 充满了自动化功能,但“这款机器人是让大多数人感兴趣和兴奋的机器人,”Nabors Industries 全球运营高级副总裁 Travis Purvis 表示。

这款令人惊叹的熟练机器人吸引了很多客户的兴趣,但在移动管道方面,通常仍然由人类控制。在 IADC 会议上,埃克森美孚钻井机械顾问 Paul Pastusek 给出了一个简单的解释:“人类的移动速度非常快。”

钻探未来

未来,钻探人员可能会通过花岗岩进行支管钻探,为地热发电厂加热蒸汽。

如果事实证明这是真的,他们可能会依靠当时在埃克森美孚工作的 Fred Dupriest 25 多年前开发的更快钻井方法。

《JPT》的一篇报道描述了如何在犹他州的一个地热试验场使用一种方法来钻穿极其坚硬、炽热的岩石,这种方法可以让钻井人员有效地最大化钻头重量以加快钻井速度。

硬岩钻探的高昂成本激发了听起来像科幻小说的想法,例如等离子钻探。但建造大型地质传热系统的第一步将集中在现成的钻井和压裂设备上。

虽然杜普里斯特在测试现场向钻工传授了他的方法,但他承认,在他所描述的“厨房台面 5,000 英尺”处,进展可能会较慢,但他补充说,“限制钻探速度的问题类型,你对待他们的方式也没有什么不同。”

抛弃旧软件朋友

雪佛龙高管在 SPE 午餐会上建议工程师避免在工作中公开展示 Excel 电子表格。

雪佛龙公司首席信息官比尔·布劳恩 (Bill Braun) 将其描述为“新的计算尺”。

台词里有人笑了,但他却很认真。就像 20 世纪 70 年代科学计算器出现时的计算尺一样,微软这款古老的数据库工具已经无法跟上数据集太大而无法处理且可能驻留在云端的业务。

在 2020 年演讲时,其他程序提供了强大的数据管理能力以及更好的协作工具。当时,大学工程师感到需要升级他们的编程和数据分析技能,以便在操作员密切关注数字杀戮的就业市场上竞争。

现在,出现了围绕使用口语构建的另一代人工智能程序,它可以响应请求,包括编写代码,这再次引发了工程师需要了解哪些数字技术的问题。

计算尺时代的一些方便的油田计算器。
计算尺时代的一些方便的油田计算器。
资料来源:斯蒂芬·拉森福斯。

原文链接/jpt
Unconventional/complex reservoirs

25 Years of Technology as Reported in JPT

Highlights of innovations in fracturing, drilling, and reservoir engineering include mysterious gummy bears, horseshoe-shaped wells, and automated rigs.

Oil field site, in the evening, oil pumps are running
Source: Zhengzaishuru/Getty Images/iStockphoto.

The past 25 years marked the emergence of shale as the next frontier for oil and gas production, and JPT’s Houston office was right in the middle of it all.

Credit for starting this disruptive change goes to George P. Mitchell who led a 17-year-long effort to extract gas from the ultratight rock in the Barnett formation. A JPT story described how this effort was finally looking like a significant, profitable business in 1998 when Mitchell Energy’s engineers turned to lower-cost slickwater fracturing in their vertical wells.

The success of this trial-and-error engineering marathon drew little notice at the time. But that seed grew into a huge business based on technology that showed it was possible to profitably produce oil and gas from virtually impermeable rock using large-scale fracturing and ever-longer horizontal wells.

In the coming decades this reverberated through drilling, fracturing, and reservoir engineering, disciplines whose physics-based view of the world could not predict how that would happen.

As JPT’s staff grew with the addition of reporters covering emerging technology, there was no ignoring what was going on around us.

The magazine highlighted futuristic reservoir monitoring ideas in Saudi Arabia and advances in deepwater technology in Brazil, but the booms and busts of this high-profile business that delivered more oil than profits kept changing in interesting ways.

The first SPE Hydraulic Fracturing Technology Conference I covered in 2011 was amazing and puzzling to this technology novice. I wondered how they could create fractured areas that looked like shoe boxes.

At an early show, a speaker advised those who believed that fracturing knowledge began with shale to look back further in OnePetro.

One of those paper authors, then and now, is Dave Cramer, senior engineering fellow for ConocoPhillips, who began learning fracturing when he graduated from college with a business administration degree and got a job with Western Company of North America.

The singular change over the past 25 years is how much fracturing has been scaled up. “It like a factory out there, and it was not a factory when we started,” he said.

In the previous 25 years, fracturing experts were doing a lot of innovative things. He proudly remembers being involved in a job for Amoco where they pumped 600,000 gallons of gelled fluids and 1.3 million pounds of large-mesh sand into a 35-ft tight sandstone section of a well in the DJ Basin in Colorado.

The morning he told that story he was evaluating a well completed in Canada where ConocoPhillips used slickwater to pump 970,000 pounds of sand per frac stage.

In some ways the job in 1978 looms larger in his mind. The whole job was aimed at a single target and was sophisticated: They pumped five different fluid mixtures as the job progressed based on their lab testing and fracture modeling.

While he thinks the technical skills of those fracturing tight rock back then are underestimated, wells now with laterals that are miles long and hundreds of clusters to stimulate are so much more complex, which has created an insatiable appetite for data by engineers continually feeling pressure for greater production and efficiency.

“Diagnostics are a lot better. Back then the only thing available was treating pressure analysis,” he said. Now in addition to that there are multiple measures from fiber-optic cables, downhole images of perforations, microseismic, and multiple test sites evaluating the pros and cons of each of these diagnostic ingredients.

To keep up with the scale and pace of the jobs, the hardware and methods used to deliver the supplies and do the fracturing have rapidly evolved. There are now ways to fracture multiple wells at the same time, digitally control fracturing, and use massive pumps in a push to cut emissions and costs by phasing out diesel-fueled pumps.

After the 2014 oil price plunge, cost cutting became an obsession and engineers found cheaper alternatives.

A decade ago, operators were willing to pay to import sand from Wisconsin based on how they measured the quality of the grains. Now much of what is used is mined nearby, virtually eliminating the cost of shipping, and these fine-grained substitutes seem good enough. “We tried junkier sand and saw little to no production loss,” Cramer said.

While fracture modeling has gotten a lot more sophisticated, he said that testing by trial and error is needed because it is so hard to predict how a change will turn out when pumped into a formation.

Progress will continue depending on those who say, “Let’s try it; it sounds crazy, but let’s see how the well produces.”

What follows are highlights from JPT’s coverage of changes in fracturing, drilling, and reservoir engineering over the past 25 years.

If You Build an Automated Rig, What Do You Tell It To Do?

One vision of the future of the oil business in the late 1990s was a picture of the first driller’s cabins made by NOV.

It was a big change from the days when drillers worked on the drilling floor with a hand on the brake handle.

The display screens, joysticks, and high-performance chairs in the new drilling booths were all common sights outside drilling rigs. But this new command center was a sign that the digital world had begun to intrude on the largely hydraulics-based world of exploration and production.

“Prior to my time in the industry the focus in drilling was on more muscle and working harder,” said Trey Mebane, who now advises startups. Since then, more muscle still matters, but so do the digital control systems and data flowing from them.

He was one of the newcomers hired in the mid-1990s by NOV and other service companies to make that change. It needed his knowledge of computer science and technology commercialization to help it sell a new generation of equipment.

Equipment providers had to turn to computer-based digital control systems used widely in industry when it was clear that the equipment on the next generation of offshore drilling rigs was too complex for traditional hydraulic control systems.

When he asked a driller back then about the digital displays and the first-generation autodriller, he was told that was all fine. But the best thing was working while seated on the comfortable chair in a climate-controlled cabin. All it lacked was a cupholder—a problem that was soon fixed.

A driller cabin built by NOV for an early Helmerich & Payne FlexRig.
A driller cabin built by NOV for an early Helmerich & Payne FlexRig.
Source: Trey Mebane.

And Then

What was not obvious 25 years ago was how the digital data flow and processing power required to create this control system would eventually lead to programmable control systems that have changed the work of drilling engineers.

By 2008, the digital generation in service companies and oil companies had created the SPE Drilling Systems Automation Technical Section with a goal of moving the industry toward the day when drilling rigs would be fully automated.

At the time, the idea of pushing a button to drill a well sounded inevitable. That year, Helmerich & Payne (H&P) launched their long-term effort to gather and analyze data as the basis for innovative digital control systems. Years later they showed the value of that bet by doubling down to build a fleet of FlexRigs which offered both more brawn plus brains that reduced downtime for more efficient drilling.

In 2018, after H&P bought the company that made the program, H&P took the next logical step—feeding those commands into the drilling control system for “factory-like consistency,” said John Lindsay.

Innovative operators and service companies were focused on building the automated drilling rig of the future. The focus abruptly shifted after the 2014 oil price crash.

Apache dropped its program to develop a fully automated rig. But not long after that, it began working on ways to drill better by making the most of data, software, and advanced statistical analysis.

“We saw that there was at least a small opportunity to do something more with our rig data—that 1-Hz real-time data—by combining it and mashing it up with contextual data so that it could be something useful,” said Michael Behounek, the leader of the project who has since retired and is working as a consultant.

In other words, they wanted to figure out how best to manage the job and ensure those procedures were followed. Traditionally the driller was more likely to be told: “There is your bit, go run it, and do your best. This is a vastly different thing,”said Fred Dupriest, a Texas A&M University professor.

A driller working in the late 1990s on a rig equipped with displays that were new at the time.
A driller working in the late 1990s on a rig equipped with displays that were new at the time.
Source: Trey Mebane.

Increasingly, digital control systems on rigs make it possible to program in best practices to ensure they are followed. And the job of engineers is to look out for flaws in the system and fix them.

Matt Isbell, drilling engineering advisor for Hess, likened its process improvement program to a battle of wits. He said, “People learn from that and it’s not too long before they have ideas that can be put into practice that can improve whatever the operation is,” in this story.

Over 8 years, Apache’s drilling improvement methods delivered 10% year-over-year drilling costs savings and were used by rig crews on more than 1,700 wells in all sorts of plays.

The probabilistic drilling advisor, though, has its limits. A paper describing the system said it “only enables the opportunity—it is the field personnel and engineers taking the proper actions and decisions offered by the system that deliver the improvement.”

No Tree Roots, Please

A JPT story in 2015 asked the question: What does a fracture look like?

It was provoked by engineers and geoscientists who were irked by fracturing illustrations, like Norm Warpinski, a Halliburton fellow, who said, “They do not look like tree roots. Things do not shatter like glass and run in all directions.”

Others also complained about fracturing illustrations that looked like lightning bolts or tree roots.

While geologists pointed to natural models, Mike Smith, the founder and president of the fracturing consulting firm NSI Technologies, said, “My mental image varies by formation—by the geological environment. It depends on where you are.”

He described the force of fracturing fluid interactions with a formation. “It goes to hit the first natural fracture and turns whichever way, then goes along until it hits another fracture, splits off again, and starts off across the country.”

In the years since, there have been advances in finding ways to observe fracture growth, interactions, and how they change over time, including papers from a series of fracturing test sites.

This illustration is typical of what is available online to show what hydraulic fractures look like. Experts say illustrations such as this are not representative of what fractures look like.
This illustration is typical of what is available online to show what hydraulic fractures look like. Experts say illustrations such as this are not representative of what fractures look like.
Source: FracFocus.

Based on those, an artist would surround the well with a massive number of fractures—most as thin as fine thread—with a few large cracks out further. On occasion a few of those can extend out thousands of feet.

The shape of the fractured area is rarely symmetrical. Sometimes growth is blocked by sizable faults. A depleted zone around an old producing well will attract fractures, which may well hit the other well, reducing production for all the wells.

Recent advances in stress monitoring can even track fracture growth. Patterns in the signal can define fracture development, which has proved more accurate than microseismic.

In seems certain by now that fractures vary.

Perfection Is in the Details

Progress downhole has come from paying attention to details, often small ones, such as holes perforated in the casing for pressure pumping.

When EV began imaging wells, early customers included fracturing experts such as Dave Cramer, a senior engineering fellow in completions for ConocoPhillips, who saw it as a way to directly observe where the water and sand they had pumped actually went.

They expected to see differences based on previous research using fiber optics indicating the first perforations in a series encountered by the fluid resulted in big fracs, while later ones were hardly stimulated. Downhole images allowed engineers to see that in their wells. And eventually, as the technology improved, measurements could be made.

That evidence led to a period of experimentation. Ultimately, that led to most operators choosing limited-entry methods to ensure all the perforation holes were stimulated. They focused on shooting uniform holes that limited flows to better distribute the water and sand based on plans to pump enough water and sand to stimulate all of them.

Flows still vary, but paying attention to those holes has proven its value.

Gummy Bears From Hell

For years, globs of black gum were flowing up from wells in Oklahoma, often clogging production equipment.

The source of these “gummy bears” remained a mystery until a story 2020 reported on a paper by Mark Van Domelen, vice president for technology at Downhole Chemical Solutions. He identified the source: Iron-rich rock in the wells was interacting with high concentrations of certain types of friction reducers to create a rubbery polymer.

rubbery texture of this oil-well gunk
The rubbery texture of this oil-well gunk inspired the name gummy bears. Many names have been applied to a substance whose origins are just now becoming clear.
Source: Downhole Chemical Solutions.

The problem was the positive charge of the polymers added to fracturing fluid to reduce resistance and often to thicken it to allow it to transport more sand. When word got out in JPT, producers in other places noticed the problems.

Buyers started advising customers to avoid formulations with a positive charge when reactive chemicals are present.

It was a small problem for a huge industry, but it raised questions about other chemical reactions such as surfactants that quickly degrade in the ground or polymer gunk clogging fracture networks.

George King, a petroleum engineering consultant, offered a possible root cause based on his experience teaching. “Damn friction reducers and iron! Engineers do not understand chemistry!”

Thinking Outside the Lateral

Some innovations sound crazy at the time, like the story about Shell drilling a horseshoe‑shaped well.

Online mentions of the job initially sounded like something that a drilling engineer might have done on a dare. It turned out to be a way to drill a well under extreme circumstances. The horseshoe well filled a gap in a well pad after the planned vertical well for that lateral could not be drilled due to severe mud losses.

They extended another well on the pad with a curving loop over the 5,000-ft-long path of the second lateral, and then fractured it. It was all done with off-the-shelf equipment.

“What’s great about this well is not the fact that it’s new, novel, and innovative,” said David Gibson, cofounder and chief executive of drilling market research firm Gibson Reports, who followed the work. “It’s that it starts amazing conversations. Conversations about challenging the status quo—and given the current market and climate, we all need to follow Shell’s lead and think outside the box on all fronts.”

Do Not Slow Down

In 2022, Nabors’ “fully automated” rig featuring an eye-catching robot on the floor handling drillpipe was contracted by ExxonMobil to see if it could outperform less‑sophisticated rigs.

While the Pace-R801 was full of automated functions, “the robot is the one that gets most people interested and excited,” said Travis Purvis, senior vice president, global operations for Nabors Industries.

The amazingly adept robot drew a lot of customer interest, but humans are generally still at the controls when it comes to moving pipe. At an IADC meeting, Paul Pastusek, drilling mechanics advisor for ExxonMobil, offered a simple explanation: “Humans can move really fast.”

Drilling the Future

In the future drillers may be drilling laterals through granite to heat steam for geothermal power plants.

If that proves to be true, they may be relying on methods for faster drilling developed more than 25 years ago by Fred Dupriest, who was then working for ExxonMobil.

A story in JPT described how the method that allows drillers to effectively maximize their weight on bit to drill faster was used to drill through extremely hard, hot rock at a geothermal test site in Utah.

The high cost of drilling in hard rock has inspired ideas that sound like science fiction, like plasma drilling. But the first steps toward building massive geologic heat-transfer systems will focus on off-the-shelf drilling and fracturing equipment.

While Dupriest, who taught his method to drillers at the test site, acknowledged that progress is likely slower in what he described as “5,000 ft of kitchen countertop,” he added that “the types of issues that constrain the drill rate, and the way you deal with them, are no different.”

Dumping Old Software Friends

A Chevron executive advised engineers at an SPE luncheon to avoid public displays of an Excel spreadsheet at work.

The chief information officer for Chevron, Bill Braun, described it as “the new slide rule.”

The line got a laugh, but he was serious. Like slide rules in the 1970s when scientific calculators came along, the venerable database tool from Microsoft is not keeping up with a business where the data sets have gotten too large for it to handle and are likely to reside on the cloud.

At the time of that 2020 speech, other programs offered heavy data management abilities as well as better collaboration tools. It came at a time when engineers in college were feeling the need to upgrade their programming and data analysis skills to compete in a job market where operators were paying close attention to digital kills.

Now, there’s another generation of AI programs built around using spoken languages, which can respond to requests, including writing code, which again raises questions about what engineers need to know about digital.

Some handy oilfield calculators from the days of the slide rule.
Some handy oilfield calculators from the days of the slide rule.
Source: Stephen Rassenfoss.