地热能

特邀社论:利用人工举升技术优化地热性能

地下生产和提升设计方面的经验正在塑造新一代地热作业,这些作业旨在提高可靠性和可扩展性。

jpt-2026-1-guested-gi-1364802849.jpg
位于加利福尼亚州帝国谷索尔顿湖附近的地热设施。
资料来源:Jacob Boomsma/Getty Images/iStockphoto。

全球油气行业正面临着一个可能具有变革意义的时刻。随着运营效率的不断提高和老旧资产寿命的延长,一种依赖许多相同知识和技术的新型能源正在地下涌现。这种被称为“下一代”地热能的能源有望成为一种低碳且可广泛调度的能源。

然而,要充分发挥地热能的潜力,需要的远比许多人预想的要多。勘探往往是相对容易的部分。但规模化开发还需要跨领域的创新,而创新植根于卓越的运营能力。在众多领域中,借鉴人工举升技术(尤其是广泛应用于地热领域的电潜泵)的经验无疑是最有前景的。

作为一名拥有十余年经验的工程师,我致力于优化多个盆地的地下生产系统,包括领导陆上、海上和高温环境下的人工举升装置安装和运行。我亲眼目睹了精细的举升策略、数字化监测和泵配置决策如何对油田的绩效产生决定性的影响。这些原则如今同样适用于地热开发,尤其适用于闭环系统、增强型地热系统以及涉及热力网络的混合配置。

本文重点介绍了三个可直接受益于油田人工举升技术的关键地热前沿领域:

  • 高焓系统中的流动保障
  • 循环载荷下的井下性能优化
  • 地热资产的全生命周期数字化管理。

这些领域都表明,数十年来油田举升工程的知识可以加速地热规模化发展,降低失败风险,并塑造这个不断发展的行业的数字化骨干。

井下流体动力学

地热开发商面临的最常见挑战之一是控制和维持裂隙岩石中流体在不同焓、压力和温度下的流动。

闭环地热系统,也称为先进地热系统,利用密封井筒形成循环回路,该回路可使用二氧化碳水或超临界流体。但无论使用何种工作流体,确保流动稳定始终取决于对井下水力参数的精细调校。在人工举升设计中,尤其是在电潜泵(ESP)设计中,生产工程师需要经常平衡多个变量,包括扬程要求、泵级数、进料压力、粘度以及气锁风险。

同样的动态也存在于试图从人工储层或长水平环路中稳定抽取热量的地热项目中。然而,近期采用依赖自然对流而非人工提升的热虹吸环路的地热试点项目遇到了一些问题,包括流量不稳定、启动压力损失显著以及热衰减逐渐加剧。

在油田中,这些问题可以通过变速驱动器、压力平衡室和设计用于处理多相流的多级叶轮来缓解。

通过运用同样的思路,地热运营商可以定制回路几何形状和流体注入策略,优化回路直径、隔热和泵设计,从而提高热量提取效率,而不仅仅是维持压力。

此外,静电除尘器(ESP)已经发展到能够在腐蚀性和高温井中运行。在人工举升过程中,冶金材料的选择、弹性体的相容性以及电机冷却方法的选择,与目标温度超过180℃(约350℉)的极端地热项目直接相关。

各领域之间的合作是确保井下设备使用寿命更长和前期系统设计更优的有效途径。

循环条件下的泵送

现代地热能面临的另一大挑战是其从基荷发电向灵活发电的转变。人工举升系统拥有数十年的应用经验,其循环运行模式能够应对诸如油井产量下降或与远程监控系统相连、需要节流以避免燃烧等问题。

在这些环境中,静电除尘器每天要经历多次重启、负载变化以及气塞冲击期间的反向流动。因此,人们对瞬态工况下的启动电流、轴应力、热疲劳和磨损模式有了更深入的了解。

将此应用于地热能领域,运营商在设计用于增产作业的油井时,必须预见到诸如流体锤击、空化和变流侵蚀等问题。人工举升工程师可以利用现有的井下模拟工具对这些情况进行建模,从而改进材料选择和故障预测。此外,电潜泵(ESP)现在集成了温度、振动和电机扭矩的实时反馈功能,使工程师或软件能够提前发出停机指令或进行转速校正。将这些诊断功能嵌入地热控制系统可以显著提高系统响应速度,降低维护成本,并延长设备在循环工况下的使用寿命。

数字生命周期管理

上游地热交叉领域的最后一个,或许也是探索最少的前沿领域,涉及数字化生命周期管理。

石油和天然气工程师深知泵运行寿命跟踪、故障根本原因分析以及油井行为数字孪生的重要性。这些并非“锦上添花”的功能,而是管理大型电潜泵机组或优化数十个油田的提升策略的必备工具。

然而,许多地热开发商尚未采取如此严谨的方法。许多新系统仍在试点井中进行测试,缺乏预测性维护模型、资产层级结构和性能基准。随着地热技术的成熟和扩张,它将面临上游行业人工举升团队十多年来一直在解决的相同问题。这些问题包括泵故障、现场优化、停机成本上升以及主动干预计划的必要性。

以 ESP 遥测技术为基础的数字化生命周期管理可以为地热运营商提供以下工具。

  • 跟踪作业时间并关联不同井型之间的故障类型。
  • 模拟热量随时间推移而下降的情况,并调整流量以保持性能。
  • 集成SCADA系统,实现实时监控和决策。
  • 开发自适应模型来预测热负荷何时接近经济极限。

根据我的经验,在电潜泵系统中部署全场仪表盘,能够改进干预计划,并节省数百万美元的延期生产损失。同样的理念在地热能源领域也能带来巨大的价值,尤其是在开发商寻求长期项目融资的情况下。投资者越来越希望看到维护理念和关键绩效指标从一开始就融入到项目中。

地热能必须超越定制工程和中试规模实验的局限,而必须借鉴人工举升团队多年来不断完善的生产优化、全生命周期成本控制和数字化智能理念。

在极端条件下优化过静电除尘器(ESP)系统的工程师们已经深谙如何进行高性能设计、预测故障并构建响应迅速的系统。随着地热能进入发展阶段,这些工程师不仅在技术方面,更在知识转移方面发挥着至关重要的作用。

这表明,新能源的未来并非孤立实现,而是需要整合、信息共享和跨学科协作。通过将人工举升系统方面的专业知识引入讨论,我们不仅能够提升油井性能,还能拓展地热领域关键要素的范畴。

奥格内凯夫韦·S·奥比耶 (Oghenekevwe S. Ovbije, SPE) 是 Energia Core 的总监,负责领导跨行业的创新工作,涵盖石油天然气和低碳解决方案,例如地热和混合能源基础设施。她在多个国际盆地拥有十余年的地下生产系统、人工举升优化和数字化运营经验。加入 Energia Core 之前,她曾在贝克休斯公司担任多个技术和商业领导职务,包括人工举升系统国家产品线经理。她目前的研究方向是将油田工程原理应用于下一代地热系统、热力网络和数字化生命周期管理。奥比耶拥有伊格比内迪翁大学冈田分校化学工程学士学位、阿伯丁大学石油天然气工程硕士学位和麻省理工学院工商管理硕士学位。她还在哈佛大学完成了基础设施和建设融资以及产品线架构方面的学习。除了是 SPE 的活跃成员外,奥比耶还是女工程师协会、电气电子工程师协会和国际地源热泵协会的成员。

原文链接/JPT
Geothermal energy

Guest Editorial: Optimizing Geothermal Performance With Artificial Lift Expertise

Experience in subsurface production and lift design is shaping a new generation of geothermal operations built for reliability and scalability.

jpt-2026-1-guested-gi-1364802849.jpg
A geothermal facility near the Salton Sea in the Imperial Valley of California.
Source: Jacob Boomsma/Getty Images/iStockphoto.

The global oil and gas industry is facing a potentially transformative moment. As operations continue to make efficiency gains and extend the life of mature assets, a new form of energy that relies on much of the same know-how and technology is emerging from beneath. Called “next-generation” geothermal, the promise it holds is to become a low-carbon and broadly dispatchable source of energy.

However, unlocking the full potential of geothermal energy demands much more than many expect. Exploration tends to be the easy part. But the scaling effort will also require cross-sector innovation rooted in operational excellence, and few areas hold more promise than transferring lessons from artificial lift, especially electrical submersible pumps (ESPs), which are widely used in the geothermal sector.

As an engineer who has spent over a decade optimizing subsurface production systems across multiple basins, including leading artificial lift installation and operations in onshore, offshore, and high-temperature environments, I have seen how nuanced lift strategies, digital monitoring, and pump-configuration decisions can make or break field performance. These principles are now relevant to geothermal development, particularly for closed-loop systems, enhanced geothermal systems, and hybrid configurations involving thermal networks.

This article highlights three key geothermal frontiers that benefit directly from oilfield artificial lift expertise:

  • Flow assurance in high-enthalpy systems
  • Downhole performance optimization under cyclic loads
  • Full life-cycle digital management of geothermal assets.

Each of these areas show how knowledge from decades of oilfield lift engineering can accelerate geothermal scaleup, reduce failure risks, and shape the digital backbone of this growing sector.

Downhole Flow Dynamics

One of the most common challenges geothermal developers face centers on controlling and sustaining the flow of fluids from fractured rock at varying enthalpies, pressures, and temperatures.

Closed-loop geothermal systems, also called advanced geothermal systems, use sealed wellbores to create a circulation loop that can flow with CO2, water, or supercritical fluids. But regardless of what type of working fluid is used, flow assurance remains a matter of carefully tuning the downhole hydraulics. In artificial lift design, and particularly with ESPs, production engineers are tasked with routinely balancing multiple variables, including the head requirement, pump stages, intake pressure, viscosity, and gas‑lock risks.

These same dynamics exist in geothermal projects attempting to draw steady heat from engineered reservoirs or long horizontal loops. However, recent geothermal pilots employing thermosiphon loops that depend on natural convection instead of artificial lift have encountered issues including unstable flow rates, significant startup pressure losses, and gradual thermal decay.

In oil fields, these issues are mitigated using variable speed drives, pressure-equalization chambers, and multistage impellers designed to handle multiphase flow.

By using the same thinking, geothermal operators can customize loop geometry and fluid-injection strategies, optimizing loop diameter, insulation, and pump design for heat extraction, not just pressure maintenance.

Moreover, ESPs have evolved to operate in corrosive and high-temperature wells. The selection of metallurgy, elastomer compatibility, and motor-cooling methods in artificial lifts is directly relevant to geothermal projects targeting extreme temperatures beyond 180°C (about 350°F).

Collaboration between the domains is a likely pathway to ensuring a longer downhole equipment life and a better upfront system design.

Pumping Under Cyclic Conditions

Another major challenge in modern geothermal energy is its shift from baseload to flexible generation. Artificial lift systems have a track record spanning decades with cycling duty to deal with issues like declining oil wells or those tied to remote monitoring systems that throttle production to avoid flaring.

ESPs in these environments undergo multiple daily restarts, variable loads, and reversed flows during gas slugging. The result is a refined understanding of startup currents, shaft stress, thermal fatigue, and wear patterns under transient conditions.

Translating this to geothermal energy, operators designing wells for ramp-up scenarios must anticipate issues such as fluid hammer, cavitation, and variable flow erosion. Artificial lift engineers can model these conditions using existing downhole simulation tools to improve material selection and failure prediction. Additionally, ESPs now integrate real-time feedback on temperature, vibration, and motor torque, which allow engineers or software to issue a preemptive shutdown or speed correction. Embedding these diagnostics into geothermal control systems can significantly improve system responsiveness, lower maintenance costs, and extend asset life under cyclic conditions.

Digital Life-Cycle Management

The final, and perhaps most underexplored, frontier of the upstream–geothermal crossover involves digital life-cycle management.

Oil and gas engineers understand the value of pump run-life tracking, failure root cause analysis, and digital twins for well behavior. These are not “nice-to-have” capabilities. They are essential for managing large ESP fleets or optimizing lift strategies across dozens of fields.

However, many geothermal developers have yet to adopt such rigor. Many new systems are still measured in pilot wells, lacking predictive-maintenance models, asset-hierarchy structures, and performance benchmarking. As geothermal matures and expands, it will face the same issues that artificial lift teams in the upstream industry have been addressing for more than a decade. This includes pump failures, field-level optimization, downtime cost escalation, and the need for proactive intervention planning.

Digitally enabled life-cycle management rooted in ESP telemetry practices can offer geothermal operators the following tools.

  • Track operational hours and correlate failure types across well classes.
  • Simulate heat decline over time and adjust flow rates to maintain performance.
  • Integrate SCADA systems to enable real-time monitoring and decision-making.
  • Develop adaptive models to predict when thermal drawdown approaches economic limits.

In my experience, deploying fieldwide dashboards for ESP systems has improved intervention planning and saved millions of dollars in deferred production losses. The same discipline could yield enormous value in geothermal energy, especially as developers seek financing for long-duration projects. Investors increasingly want to see maintenance philosophy and key performance indicators embedded from the first day.

Geothermal energy must move beyond bespoke engineering and pilot-scale experimentation. It must adopt the mindset of production optimization, life-cycle cost control, and digital intelligence that artificial lift teams have spent years refining.

Engineers who have optimized ESP systems under extreme conditions already understand what it takes to design for performance, anticipate failure, and build responsive systems. As geothermal energy enters its growth phase, these engineers have a vital role to play in transferring knowledge, not just technology.

This shows us that the future of new energy will not be achieved in isolation. It will be integrated, informed, and cross-disciplinary. And by bringing artificial lift system expertise into the dialogue, we will enhance well performance while also expanding the scope of what is considered essential to the geothermal landscape.

Oghenekevwe S. Ovbije, SPE, is the director of Energia Core, where she leads cross-sector innovation spanning oil and gas and low-carbon solutions such as geothermal and hybrid energy infrastructure. She has more than a decade of experience in subsurface production systems, artificial lift optimization, and digital operations across multiple international basins. Before joining Energia Core, she held several technical and commercial leadership roles at Baker Hughes, including country product line manager for artificial lift systems. Her current research explores the application of oilfield engineering principles to next-generation geothermal systems, thermal networks, and digitally enabled life cycle management. Ovbije holds a BSc in chemical engineering from Igbinedion University Okada, a master’s in oil and gas engineering from the University of Aberdeen, and an MBA from the Massachusetts Institute of Technology. She also completed studies in infrastructure and construction finance and product line architecture at Harvard. In addition to being an active member of SPE, Ovbije is also a member of the Society of Women Engineers, the Institute of Electrical and Electronics Engineers, and the International Ground Source Heat Pump Association.