人工举升

案例研究:通过连续无线井下数据采集进行注水监测

事实证明,使用实时无线井下压力计是伊拉克两处陆上油田修井作业的有效替代方案。

图 2——安装在 B 井旁边的声波数据记录器。来源:声学数据。
图2——安装在B井旁的声波数据记录仪。
来源:Acoustic Data

持续的井下监测数据对于明智的油藏管理和油田开发决策至关重要。传统上,作业者依赖于钻井作业或非钻机干预措施(例如静态梯度测量 (SGS) 或压力恢复 (PBU))的压力数据。然而,由于采样频率低且关井条件变化多端,这些方法通常会产生噪声数据,导致解释不明确、投资不理想以及生产延期。

为了克服这些限制,伊拉克南部两个油田的四口观测井都安装了实时无线井下压力和温度计(PDG)。这些仪表能够长时间高频采集数据,能够在稳定条件下持续监测油藏响应。

这两个油田在一次采油过程中产量巨大,并于2016年和2024年通过注水方案实施了二次采油。在扩建基础设施和投入更多资金之前,对这些方案的评估至关重要。常规SGS、重复地层测试仪(RFT)和PBU数据显示压力趋势不一致,不足以支持关键的开发决策。

相比之下,对14个月PDG数据集的分析显示,油藏增压清晰且可量化,每月增压幅度在9至160 psi之间,直接归因于注水。这种持续监测方法提供了高可信度的洞见,有助于优化二次采油规划并论证进一步投资的合理性。

字段摘要

伊拉克南部的两个油田分别于1949年和1975年发现,截至2019年年中,已通过约650口油井累计生产超过32亿桶原油。第一个油田呈北北西向、南南东向的背斜构造,拥有四个构造穹顶;第二个油田则由背斜构造和断层控制的圈闭组合而成。主要储层位于上白垩统和下白垩统(第一个油田)以及始新世至白垩纪(第二个油田)。

岩石物理分析证实,这两个油田均含有以石灰岩和砂岩为主的层段,孔隙度和渗透性良好,有利于油气的储存和开采。这两个油田合计约占伊拉克石油产量的15%,已探明储量超过160亿立方英尺。

该油田的运营分别于 2009 年和 2018 年由两个国际财团承担,计划通过重大基础设施升级(包括注水和处理厂、管道网络和新井开发)到 2028 年将总产量提高到 165 万 STB/D。

生产五年后,油藏压力衰竭现象明显。为此,注水项目应运而生。第一期油田的注水系统于2013年设计,并于2016年投入使用,预计到2022年,日注水量可达30万桶。第二期油田的注水目标是日注水量达到85万桶,目前仍在等待评估结果。第二期油田于2024年7月启动了试点注水项目,日注水量达到8万桶,模块化扩建计划将取决于成功实施后的进展。

动机和井的选择

如图1a和1b所示,对第一个油田的RFT、SGS和PBU数据分析表明,截至2016年,压力下降速度为每月4-6 psi。然而,由于地层非均质性、水力屏障、采样频率低以及测量方法不一致等数据噪声,后续注水的影响尚不明确。这些限制导致估算复压效果存在很高的不确定性,因此需要持续的井下监测来支持关键的最终投资决策。

图 1a 和 1b——第一个案例研究油田的储层压力衰减(Pmeas-Pinit)。来源:声学数据。
图 1a 和 1b——第一个案例研究油田的储层压力衰减(Pmeas-Pinit)。
来源:声学数据。

北区选定A、B两口观测井进行一期油田的再加压评估。二期油田则以1:2的注水井与观测井比例,利用C、D两口观测井开展了持续监测,以评估早期注水的有效性。

无线技术选择

为了在生产和关井阶段进行长期油藏监测,我们选择了由 Acoustic Data 设计和开发的商用实时遥测油藏 (PDG) SonicGauge 无线监测系统,该系统因其操作简便、可靠性高且经济高效而被选中。无线油藏通过生产油管将数据以声波方式实时传输到地面,无需对井口进行改造即可实现持续监测。

该系统结构紧凑,可通过钢丝进行改装,并使用非爆炸性机电坐封工具进行部署。其外径1.31英寸的高膨胀量规悬挂器可在任意深度灵活安装,无需预装短节或型材,因此可与大多数井型兼容。

优点包括:

  • 完全无线安装,无需钻机或管道检索。
  • 2至4天即可快速部署和调试。
  • 使用寿命长达 8 年,具体取决于数据频率和井底温度。
  • 用于压力和温度测量的高精度 Quartzdyne 或 Keller 传感器。
  • 电池耗尽后,可通过钢丝绳进行经济有效的补救和重新部署。

鉴于传统的修井作业(PDG安装和钻机调动通常超过200万至300万美元)可能超出预算限制,实时无线PDG提供了一种切实可行的替代方案。它满足所有技术和商业要求,能够以非侵入方式实现持续的井下监控。

仪器仪表设计与安装

我们为每口井开发了内部声学衰减模型,以估算信号损失并优化声学中继器的数量和位置。关键设计输入包括完井图和井斜测量,这对于确保从井下实时无线PDG传感器到位于采油树上的地面安装声波数据记录仪(SDL)的可靠数据传输至关重要。SDL将实时压力和温度数据传输到作业公司的办公室服务器,从而实现持续监控。

在第一个油田,A井在2175米深处安装了实时无线PDG,而B井则在2400米深处安装了PDG。设计中配备了足够的中继器,以确保PDG数据包能够一路传输到地面。B井的部署工作于2022年7月在两天内完成。这些工具随后于2022年10月被取回,并在随后两天的作业中重新安装到A井。

在第二个油田,C井和D井安装了三套实时无线PDG,分别位于井深2,380米、2,083米和1,548米,以及2,380米、2,227米和1,882米。两口井的安装均于2024年11月完成,每口井大约需要3至5天完成。C井和D井的多传感器配置还具有捕捉压力梯度的额外优势,可用于监测流体界面运动或早期发现水突破。

仪器性能和数据分析

首次现场结果。A井和B井的实时无线PDG配置为每2小时传输一次压力和温度数据。在现有的混凝土平台上安装了实时无线PDG数据记录器(见上图2)。

监测立即在 B 井开始,持续了 99 天,随后在 A 井开始,持续了 288 天,直到 2023 年 8 月。这两个系统都自主运行,由太阳能电池板供电,并使用移动网络将数据传输到安全的云服务器。

图3a和3b显示了约20 psi/月的明显增压趋势,验证了注水的有效性。这些结果支持了一项重大投资决策,即将水处理能力升级至85万桶/天,使石油产量达到70万桶/天。

图3a和3b——来自A井和B井的实时无线PDG实时压力数据。来源:Acoustic Data。
图3a和3b——来自A井和B井的实时无线PDG实时压力数据。
来源:声学数据。

第二次现场结果。C井和D井的仪器设置为每4小时传输一次数据,从部署后19天开始。数据记录器现场供电,数据通过MODBUS传输。

在第二个油田部署的仪器提供了连续数据,以确认 C 井的加压率为 9 psi/月,D 井的加压率为 160 psi/月。尽管两个观察井都监测来自单个注水井的注水影响,但由此产生的巨大的加压差异凸显了储层的巨大非均质性和同一液压隔间内不同的连通性。

结论

本研究聚焦伊拉克南部两处成熟油田,这些油田正经历油藏枯竭阶段,并因此设计并调试注水方案。研究实施了候选方案的筛选、系统设计和实时无线PDG的部署,以监测油藏再加压并评估注水效果。

在第一个油田,超过365天的连续压力数据证实北部地区成功实现增压,平均增压速度约为每月20 psi。在第二个油田,70天的监测显示,增压速度分别为每月9 psi和160 psi,表明储层存在显著的非均质性。

这些结果验证了注水的有效性,支持了关键的油田开发决策,并为继续投资设施升级和新井以提高产量和采收率提供了信心。


Acoustic Data 首席执行官兼联合创始人Mark Tolley是一位澳大利亚石油工程师,拥有 40 多年的全球油气勘探和生产经验。早在 20 世纪 90 年代初,他就构想了一种基于声波的无线测量系统,并领导了 Acoustic Data 技术的机械工程。他在金融市场、投资者关系、综合管理、项目和生产运营管理、生产技术、油藏工程以及井场运营方面拥有丰富的经验。他还拥有独立国家联合体 (CCS) 的工作经验,并且精通俄语。您可以通过mark@acousticdata.com联系他。

Acoustic Data 首席商务官兼联合创始人Jesse Tolley是新西兰公民,拥有 20 年的全球油田服务和投资银行经验。自 2012 年共同创立 Acoustic Data 以来,他一直领导公司声波技术的产品管理,包括开发路线图和市场推广战略。此外,他还负责销售和市场营销、渠道合作伙伴和技术集成、投资者关系和融资等工作。他拥有坎特伯雷大学金融学商业学士学位。他拥有亚太、中东和北非以及拉丁美洲地区的经验,并且精通西班牙语。您可以通过jesse@acousticdata.com联系他。

Acoustic Data 首席运营官Matthew Norgate是英国公民,在石油和天然气行业拥有超过 25 年的全球经验,主要专注于井下数据采集和传感器。加入 Acoustic Data 之前,他曾在贝克休斯通用电气公司 (Baker Hughes GE) 工作,并在其有线业务部门担任过多个高级运营、商务和产品管理职位。他拥有谢菲尔德大学机械工程学位(主修现代语言(法语))和帝国理工学院工商管理硕士学位。您可以通过matthew@acousticdata.com联系他。

Acoustic Data 高级油藏工程师Mariano Fernandez专攻数据解释和无线井下监测技术的应用。他的职业生涯始于壳牌公司在委内瑞拉的分公司,担任生产技术员,后来转入 Lasmo 公司从事开发规划和油藏工程工作,Lasmo 公司后来被埃尼集团收购。在他的职业生涯中,他参与了一系列国际项目,包括为马来西亚 Carigali-Hess 公司进行储量评估和报告,以及在摩洛哥近海和阿尔及利亚陆上提供咨询服务。他拥有牛津大学工程科学博士学位和委内瑞拉加拉加斯西蒙玻利瓦尔大学电子工程学士学位。他的联系方式:mariano@acousticdata.com

原文链接/JPT
Artificial lift

Case Study: Waterflood Monitoring With Continuous Wireless Downhole Data Acquisition

The use of real-time wireless downhole pressure gauges proved a valuable alternative to workover operations in two onshore fields in Iraq.

Fig. 2—A sonic data logger installed alongside well B. Source: Acoustic Data.
Fig. 2—A sonic data logger installed alongside well B.
Source: Acoustic Data

Continuous downhole surveillance data is critical for informed reservoir management and field development decisions. Traditionally, operators rely on pressure data from drilling campaigns or rigless interventions such as static gradient surveys (SGS) or pressure buildups (PBU). However, these methods, with infrequent sampling and variable shut-in conditions, often yield noisy data that lead to ambiguous interpretations, suboptimal investments, and deferred production.

To overcome these limitations, four observation wells across two southern Iraq fields were retrofitted with real-time wireless downhole pressure and temperature gauges (PDGs). These gauges, capable of high-frequency data acquisition over extended periods, enabled continuous monitoring of reservoir response under stable conditions.

The two fields, having produced significant volumes under primary recovery, implemented secondary recovery via water injection schemes commissioned in 2016 and 2024. Evaluation of these schemes was essential before expanding infrastructure and committing further capital. Conventional SGS, repeat formation tester (RFT), and PBU data showed inconsistent pressure trends, providing insufficient support for key development decisions.

In contrast, analysis of the 14-month PDG dataset revealed clear and quantifiable reservoir repressurization, ranging from 9 to 160 psi per month, directly attributed to water injection. This continuous surveillance approach provided the high-confidence insights necessary for optimizing secondary recovery planning and justifying further investment.

Field Summary

Two oil fields in southern Iraq, discovered in 1949 and 1975, have collectively produced over 3.2 billion stock-tank barrels (STB) of oil through approximately 650 wells as of mid-2019. The first field is a north-northwest by south-southeast trending anticline with four structural domes, while the second comprises a mix of anticlinal and fault-controlled traps. The primary reservoirs are found in the Upper and Lower Cretaceous (first field) and from the Eocene to the Cretaceous intervals (second field).

Petrophysical analysis confirms that both fields contain limestone- and sandstone-dominated intervals with favorable porosity and permeability for hydrocarbon storage and production. Together, these fields represent approximately 15% of Iraq’s oil output and hold over 16 billion STB of proven reserves.

Operations were assumed by two international consortiums in 2009 and 2018, respectively, with plans to increase combined production to 1.65 million STB/D by 2028 through major infrastructure upgrades, including water injection and processing plants, pipeline networks, and new well developments.

After 5 years of production, reservoir pressure depletion became evident. In response, waterflooding projects were initiated. The first field’s water injection system was designed in 2013 and commissioned in 2016, injecting up to 300,000 BWPD through 2022. A second phase, targeting 850,000 BWPD, was proposed pending evaluation results. The second field launched a pilot injection program in July 2024, delivering 80,000 BWPD, with modular expansion plans contingent on demonstrated success.

Motivation and Well Selection

As shown in Figs. 1a and 1b, analysis of RFT, SGS, and PBU data from the first field indicated a 4–6 psi/month pressure decline until 2016. However, the impact of subsequent water injection was unclear due to data noise from formation heterogeneity, hydraulic barriers, infrequent sampling, and inconsistent measurement methods. These limitations led to high uncertainty in estimating repressurization, prompting the need for continuous downhole monitoring to support key final investment decisions.

Figs. 1a and 1b—Reservoir pressure depletion (Pmeas-Pinit) shown from the first case study field. Source: Acoustic Data.
Figs. 1a and 1b—Reservoir pressure depletion (Pmeas-Pinit) shown from the first case study field.
Source: Acoustic Data.

Two observation wells A and B in the northern sector were selected for the first field’s repressurization assessment. In the second field, a continuous monitoring campaign was launched using observation wells C and D in a 1:2 injector-to-observer pattern to evaluate the effectiveness of early injections.

Wireless Technology Selection

For long-term reservoir monitoring during both production and shut-in phases, the SonicGauge Wireless Monitoring System, a commercial real-time telemetry PDG designed and developed by Acoustic Data, was selected for its operational simplicity, reliability, and cost-effectiveness. The wireless PDG transmits data acoustically through the production tubing to surface in real time, enabling continuous monitoring without the need for wellhead modifications.

The system is compact, retrofittable via slickline, and deployed using a nonexplosive, electro-mechanical setting tool. Its 1.31-in. outside diameter high-expansion gauge hanger allows flexible installation at any depth without requiring a pre-installed nipple or profile, making it compatible with most well designs.

Advantages include:

  • Fully wireless installation with no rig or tubing retrieval required.
  • Quick deployment and commissioning of 2 to 4 days.
  • Long service life of up to 8 years, depending on data frequency and bottomhole temperature.
  • High-accuracy Quartzdyne or Keller sensors for pressure and temperature measurement.
  • Cost-effective redress and redeployment via slickline upon battery depletion.

Given that traditional workovers—often exceeding $2 million to $3 million for PDG installation and rig mobilization—would surpass budget constraints, the real-time wireless PDG offered a practical alternative. It met all technical and commercial requirements for enabling continuous downhole surveillance in a nonintrusive manner.

Instrumentation Design and Installation

An in-house acoustic attenuation model was developed for each well to estimate signal loss and optimize the number and placement of acoustic repeaters. Key design inputs included well completion diagrams and deviation surveys, which were critical to ensuring reliable data transmission from the downhole real-time wireless PDG sensors to the surface-mounted sonic data logger (SDL) located at the Christmas tree. The SDL transmits real-time pressure and temperature data to the operator's office server, enabling continuous monitoring.

In the first field, well A was instrumented with real-time wireless PDGs installed at a depth of 2,175 m, while well B had them installed at 2,400 m. The design was completed with sufficient repeaters to ensure that PDG data packets were transmitted all the way to the surface. The deployment in well B was completed over 2 days in July 2022. The tools were later retrieved in October 2022 and reinstalled in well A during a subsequent 2-day operation.

In the second field, wells C and D were equipped with three real-time wireless PDGs, each positioned at depths of 2,380 m, 2,083 m, and 1,548 m, and 2,380, 2,227, and 1,882 m, respectively. Installations in both wells were executed in November 2024, each requiring approximately 3 to 5 days to complete. The multisensor configuration in wells C and D offers the added benefit of capturing pressure gradients, which can be leveraged for monitoring fluid contact movements or early detection of water breakthrough.

Instrumentation Performance and Data Analysis

First Field Results. Real-time wireless PDG in wells A and B were configured to transmit one pressure and temperature data every 2 hours. A real-time wireless PDG data logger was installed on the existing concrete pad (Fig. 2 above).

Monitoring began immediately in well B and continued for 99 days, followed by well A, for 288 days until August 2023. Both systems operated autonomously, powered by solar panels and used mobile networks to transmit data to a secure cloud server.

Figs. 3a and 3b show a clear repressurization trend of about 20 psi/month, validating the effectiveness of water injection. These results supported a major investment decision to upgrade water- handling capacity to 850,000 BWPD, enabling oil production of up to 700,000 B/D.

Figs. 3a and 3b—Real-time wireless PDG real-time pressure data from wells A and B. Source: Acoustic Data.
Figs. 3a and 3b—Real-time wireless PDG real-time pressure data from wells A and B.
Source: Acoustic Data.

Second Field Results. Instrumentation in wells C and D was set to transmit data every 4 hours, starting 19 days post-deployment. The data loggers were powered on-site, with data transmitted via MODBUS.

The instrumentation deployed in the second field provided continuous data to confirm repressurization rates of 9 psi/month in well C and 160 psi/month in well D. Although both observation wells monitor waterflooding impact from a single injector well, the resulting large repressurization difference highlights substantial reservoir heterogeneity and varying connectivity within the same hydraulic compartment.

Conclusions

This study focused on two mature oil fields in southern Iraq experiencing depletion, which prompted the design and commissioning of water injection schemes. Candidate selection, system design, and deployment of real-time wireless PDGs were implemented to monitor reservoir repressurization and assess injection effectiveness.

In the first field, more than 365 days of continuous pressure data confirmed successful repressurization in the northern area, with an average increase of about 20 psi/month. In the second field, 70 days of monitoring showed contrasting repressurization rates of 9 and 160 psi/month, indicating significant reservoir heterogeneity.

These results validated the effectiveness of waterflooding, supported critical field development decisions, and provided the confidence to proceed with investments in facility upgrades and new wells to enhance production and recovery.


Mark Tolley, CEO and cofounder of Acoustic Data, is an Australian petroleum engineer with over 40 years of global experience in oil and gas exploration and production. He envisioned a sonic-based wireless gauge system in the early 1990s and has led mechanical engineering for Acoustic Data's technologies. He is experienced in financial markets, investor relations, general management, project and production operations management, production technology, reservoir engineering, and wellsite operations. He also has experience in the Commonwealth of Independent States and is fluent in Russian. He can be reached at mark@acousticdata.com.

Jesse Tolley, chief commercial officer and cofounder of Acoustic Data, is a New Zealand citizen with 20 years of global experience in oilfield services and investment banking. Since cofounding Acoustic Data in 2012, he has led the product management for the company’s sonic technologies, including the development roadmap and the go-to-market strategies. Additionally, he has managed sales and marketing, channel partners and technology integration, and investor relations and capital raising. He holds a bachelor of commerce in finance from the University of Canterbury. He has experience in Asia Pacific, Middle East and North Africa, and Latin America regions and is fluent in Spanish. He can be reached at jesse@acousticdata.com.

Matthew Norgate, chief operations officer of Acoustic Data, is a British citizen with over 25 years of global experience in the oil and gas industry, primarily focused on downhole data acquisition and sensors. Prior to joining Acoustic Data, he worked for Baker Hughes GE, where he held several senior operational, commercial, and product management roles in their wireline businesses. He holds a degree in mechanical engineering with a modern language focus (French) from the University of Sheffield and an MBA from Imperial College. He can be reached at matthew@acousticdata.com.

Mariano Fernandez, senior reservoir engineer at Acoustic Data, specializes in data interpretation and the application of wireless downhole monitoring technologies. He began his career with Shell in Venezuela as a production technologist, later transitioning into development planning and reservoir engineering roles with Lasmo, which was subsequently acquired by Eni. Over the course of his career, he has contributed to a range of international projects, including reserves assessment and reporting for Carigali-Hess in Malaysia, as well as consulting assignments in offshore Morocco and onshore Algeria. He holds a DPhil in engineering sciences from the University of Oxford and a BSc in electronic engineering from Universidad Simon Bolivar in Caracas, Venezuela. He can be reached at mariano@acousticdata.com.