2023年5月
特别关注:完井技术

利用先进建模技术进行导流设计,提高裂缝性裸眼碳酸盐岩油藏的增产效率

基于 CFD 和离散元建模的分析模型模拟高温高压裂缝性碳酸盐岩油藏的处理布置效率和导流效果。应用创新技术将北美一口井的预期产量提高了 20%。
穆罕默德·奥马尔 / 韦瑟福德 戴安娜·贝拉斯克斯 / 韦瑟福德 卡门·拉米雷斯 / 韦瑟福德 弗朗西斯科·弗拉加坎博士 / 韦瑟福德

渗透性困难地层的产量提高取决于水力压裂设计的有效性。在增产作业期间,由于近井眼区域的应力集中和变化,将高于地层压力的压裂液注入地层中,以在不同方向上从井眼壁产生裂缝。  

北美的行业实践证明,水力压裂是低渗透油藏增产的重要手段。世界上一些常见的页岩气区,包括Barnett、Vaca Muerta等,增产后初期产量较高,但在达到峰值后的最初几个月内产量急剧下降,导致采收率较低。  

当增产流体注入地层时,它们会采用阻力最小的路径,即它们穿透具有开放流动路径的区域,如穿孔、裂缝、天然裂缝、虫洞或孔隙区。地层的储层和岩石力学特性,如杨氏模量、UCS、孔隙度和渗透率,决定了同时流动路径和传播流动路径之间的竞争,从而影响增产泥浆的分布。当彼此非常接近的裂缝之间发生机械相互作用时,这可能会进一步给增产流体的分布带来挑战。  

为了最大化增产流体的区域覆盖,必须暂时密封现有流体路径和/或渗透率较高的区域或天然裂缝,使处理流体能够均匀地渗透穿过该区域。提高生产效率的控制参数是裂缝网络、增产液分布,即增强层状覆盖、驱油效率高、导流均匀有效。这是为了获得高生产效率、最佳生产率并降低完工成本。作者将重点关注有效的导流设计,使用工程工作流程来实现目标。  

历史的角度  

已利用不同类型的导流机制来增强层间隔离并防止增产浆液采取阻力最小的路径。Abdelfatah 介绍了一种使用纳米粒子设计和优化原位酸转移系统​​的模型。1 Sarmah 探索了具有自分解能力的阳离子聚合物酸系统对酸转移形成碳酸盐的有效性。2 此外,工程化的可生物降解双颗粒分流器可以有效密封开口或高渗透区域,将增产液分流至增产不足区域,增强层位覆盖,从而提高生产效率。  

流体导流处理的成功取决于地层的储层和岩石力学特性,并影响导流系统的泵送策略设计。这项研究的重点是流体运动的基本机制。所使用的工作流程结合了分析和数值技术来优化增产泥浆的设计及其在现场的部署,以确保有效的区域覆盖。使用来自北美的一组现场数据来演示所提出的工作流程在不同流体模拟中的应用。我们的分析表明,我们可以优化配置,使用工作流程来增强增产泥浆的区域覆盖。 

新的分流方法 

在本研究中,我们使用了不同的酸系统,如图 1 所示。 它包含中等高分子量 pH 缓冲剂的阳离子聚丙烯酸酯共聚物以及交联剂。酸导流系统采用5%活性HCl设计。当系统的 pH 值达到 2.5 到 3 之间时,就会发生激活;当 pH 值达到 5 或更高时,就会破坏。这在高达 350°F 或 177°C 的温度下是稳定的。当酸消耗时,粘度会在原位产生,从而降低摩擦压力,从而降低泵送酸处理所需的马力 (HP)。图2表示该酸转移系统​​在28 ° 下的粘度与(v/s) pH行为。 

图 1.发散酸。
图 1.发散酸。
图 2. 含 5% HCl 的酸转移系统​​在 28oC 时的粘度与 pH 值的关系。
图 2. 含 5% HCl 的酸转移系统​​在 28oC 时的粘度与 pH 值的关系。

交联流体会将活酸转移到地层的另一部分,以最大限度地减少主要虫洞的发展并减少流体损失。随着酸的继续消耗,pH 值增加到 4.0 到 5.0 之间,系统将恢复到原来的粘度。它用于碳酸盐岩气藏和油藏的酸压裂应用和自转向酸系统。  

当酸开始消耗时,粘度的发展允许酸流在储层内转向,然后一旦 pH 值达到 5.0 以上,则允许废酸有效回流。与没有凝胶的传统 HCl 系统相比,这有助于更深的渗透,并且由于这些系统的自转向功能,可以预期更复杂的虫洞模式。 

病历 

这项工作中使用的数据来自北美高度断裂的碳酸盐岩地层,井底温度约为 355 ° F 。该井为“沦”型定向剖面,总深度为 24,947 英尺,见图 3。它由 4 陆英寸组成。油管位于 13,983 英尺处,封隔器位于 13,146 英尺处。7 英寸。班轮运行高度为 22,913 英尺。  

图 3 井剖面。
图 3 井剖面。

裸眼井段从 22,913 英尺开始,一直延伸到 24,948 英尺,这是一个大约 2,000 英尺长的区间,存在天然裂缝。该井的平均含水饱和度(S w )为10%,储层压力为11,500 psi。裸眼井段的平均孔隙度约为 4%,如图 4 所示。在某些深度,如 22,000 英尺、23,881 英尺和 24,400 英尺,渗透率在 0.05 mD 至 3 mD 之间变化。图 5显示了较高的渗透率,表明渗透率较高。自然骨折的可能性。刺激前估计的平均皮肤值为 70。  

图 4. 裸眼截面的孔隙率与深度的关系。
图 4. 裸眼截面的孔隙率与深度的关系。
图 5. 裸眼剖面渗透率与深度的关系。
图 5. 裸眼剖面渗透率与深度的关系。

优化策略。 这项工作展示了非优化(即没有转移)和使用三个转移阶段的优化方法之间的比较。  

无转移的刺激建模。图 6 表示没有转向的情况下注入流体的井筒剖面。封隔器安装在 13,142 英尺的深度。烃类流体以静态流体形式存在于井眼中。在该场景中,我们模拟了在 1,775 英尺裸眼井段不改道的情况下泵送增产处理的情况。模型预测增产流体分布不均匀,大部分流体似乎进入了渗透率较高的区域或存在天然裂缝的区域;因此,23,500 英尺及以上的裸眼井段没有得到有效增产,图 7。请注意, 从 23,500 英尺到 24,688 英尺,表皮没有任何改善。 

图 6. 注入剖面(无分流)。
图 6. 注入剖面(无分流)。
图 7. 虫洞和皮肤预测(无转向)。
图 7. 虫洞和皮肤预测(无转向)。

每单位长度井的储层注入量是层位覆盖的指标。图8中, 每条彩色线代表在每个特定深度处向储层的注入。我们可以看到,在注入的前 100 分钟内,注入地层的增产液量非常低。在 115-118 分钟左右,我们看到储层注入量急剧增加。这可能是由于流体遵循阻力最小的路径,即增产流体进入高渗透率区域或天然裂缝。这是不希望的,因为由于刺激流体的不均匀分布,它降低了处理效率。  

图 9显示了沿井的侵入剖面。表明大部分增产液侵入最高渗透层段和开口(裂缝),而裸眼段底部层段不吸酸(或吸酸很少)。我们还可以看到刺激不足的区域。  

图 8. 在给定时间每单位长度井注入储层的增产流体(无导流)。
图 8. 在给定时间每单位长度井注入储层的增产流体(无导流)。
图 9 井眼侵入剖面(无导流)。
图 9 井眼侵入剖面(无导流)。

带转移的刺激建模。这种基于物理的方法的第一步是在考虑分流系统之前计算最佳注入速率和总酸体积。通过考虑导流系统注入的多种场景,不断改进设计,直到实现最高的分区覆盖和增产效率。下一步是优化刺激治疗。该方案是通过在主酸阶段之间使用酸转移系统​​的三个阶段来设计的,图 10第一批导流阶段通常设计为在最高渗透率区域提供临时流动阻力,第二批和第三批预计将进一步均匀化沿井筒的流量。  

图 10. 注入剖面(带转向)。
图 10. 注入剖面(带转向)。

相关的虫洞穿透和沿井眼长度的最终表皮减少如图11所示。从图中可以看出,与之前的情况(无导流)相比,层位覆盖得到了增强。蒙皮减少是在裸眼孔的下部实现的。这是沿井眼完整长度均匀增产的一项重大成就。图 12显示了采用导流泥浆进行设计改进后沿井眼的注入剖面。三级导流系统使流体沿井筒侵入更加均匀,井面减少得更好。 

图 11. 虫洞和皮肤预测(带转向)。
图 11. 虫洞和皮肤预测(带转向)。
图 12. 在给定时间每单位长度井注入储层的增产流体(带导流)。
图 12. 在给定时间每单位长度井注入储层的增产流体(带导流)。

图 13显示了改进设计后增产液的侵入情况。图 13图 8之间的比较清楚地表明,流体沿裸眼井段的整个长度分布更加均匀。这是通过使用我们新颖的工作流程优化导流阶段的设计而实现的。通过使用适合目的的增产/导流设计,我们能够迫使增产流体流入低渗透率区域,以均匀地增产地层,从而提高生产效率。所提出的工作流程和分析可以量化关键参数对所产生的流体转移的影响,从而量化增产效率,以最大限度地提高采收率。 

图 13 井眼侵入剖面(带导流)。
图 13 井眼侵入剖面(带导流)。

生产强化该井的预期产量约为 9,320 bcpd 和 33.9 MMcfgd。但在成功的工程设计和优化的增产措施之后,与预期的产量预测相比,运营商增加了产量。该井开始生产 11,180 bcpd 和 35 MMcfgd。  

增值 

由于储层的非均质性,在增产应用中实施流体导流策略非常重要。该案例研究概述了如何使用工程解决方案正确设计导流,将增产液均匀分配到 22,913 英尺至 24,948 英尺之间的裸眼井段。客户预计产量约为 9,320 bcpd,但增产作业后,油井产量为 11,180 bcpd。基于物理学的正确设计对于分流治疗的成功至关重要。 

集成的工程设计工作流程可以指导压裂、基质酸化和重复压裂作业中的流体设计和应用。从导流和非导流增产处理设计的比较中我们可以得出结论,优化的设计可以使压裂液成功导流到目标区域以产生额外的裂缝。 

所提出的设计工作流程和分析将更好地使操作员能够设计和定制固体颗粒,以实现高效的流体导流。此外,所提出的工程设计工作流程的应用也可以前瞻性地扩展到重复压裂以及用于基质酸化的酸液导流。在本案例研究中,我们能够通过优化导流阶段来增强增产液在裸眼井段内的分布。实现了均匀的流体分布和增强的区域覆盖。与预期相比,这帮助运营商实现了增量产量增长。  

致谢 

本文摘录自 SPE 论文 212424-MS,“通过使用先进建模技术的导流设计提高裂缝性裸眼碳酸盐岩储层的增产效率”,该论文在布宜诺斯艾利斯举行的 SPE 阿根廷非常规资源勘探和生产研讨会上发表。阿根廷,2023 年 3 月 27 日至 29 日。 

参考  

  1. Abdelfatah, E., S. Bang, M. Pournik, J. Shiau, J. Harwell, M. Haroun 和 M. Rahman,“使用基于纳米粒子的原位胶凝酸在碳酸盐中进行酸转移,SPE 论文 188188-MS,于 2017 年 11 月在阿联酋阿布扎比举行的阿布扎比​​国际石油展览及会议上发表。https://doi.org/10.2118/188188-MS  
  2. Sarmah, A.、A. Ibrahim、H. Nasr-El-Din、J. Jackson,“改善非均质碳酸盐储层酸转移的新型阳离子聚合物系统”,SPE Journal 25:第 2281 页-2295,2020 年。https ://doi.org/10.2118/194647-PA  
关于作者
穆罕默德·奥马尔
韦瑟福德
Mohammed Omer 是 Weatherford 位于阿布扎比的全球研发团队的项目工程师。他在石油和天然气行业拥有超过 10 年的经验,除了水一致性策略外,还专门从事钻井/数字化、井眼稳定性建模、地质力学研究和新型增产化学品的开发。他出版了 25 篇国际出版物,并担任多个 SPE 会议的技术委员会成员。他也是 Energy4me 的 SPE 认证技术培训师。Omer 先生拥有石油工程硕士学位和机械工程学士学位。
戴安娜·委拉斯开兹
韦瑟福德
Diana Velazquez 在石油和天然气行业拥有 10 多年的经验。她专门开发专注于生产改进的解决方案,并领导和/或参与了非常规和高温高压油藏砂岩和碳酸盐岩地层的多个增产、压裂和水合规项目。她还精通通过微生物注入开发 EOR 处理方法。Velazquez 女士居住在墨西哥,拥有墨西哥国立自治大学的机械工程学位和热流体硕士学位。
卡门·拉米雷斯
韦瑟福德
Carmen Ramirez 是墨西哥 PPS Weatherford 实验室的经理。她负责开发技术/材料并在 HTHP/LTLP 井中执行酸压和/或支撑压裂。Ramirez 女士在该行业工作了 20 年,专门研究专门针对 HTHP 应用的新一代胶凝、发散和螯合酸系统。此外,还评估了不同压裂液对低温和高温的影响。她毕业于委内瑞拉中央大学,并获得委内瑞拉卡拉沃博大学工程硕士学位。
弗朗西斯科·弗拉加坎博士
韦瑟福德
Francisco Fragachan 博士是位于休斯敦的 Weatherford 压力泵和钻井液全球工程总监。他在该行业拥有 40 多年的经验,其中包括在 Weatherford 工作的 10 年。他的专业知识包括测井分析、岩石物理学、井裂缝刺激和地层损伤。他发表了 100 多篇文章,并拥有 15 项与这些问题相关的专利。Fragachan 博士拥有印第安纳州普渡大学岩石物理学硕士和博士学位以及俄克拉荷马州塔尔萨大学石油工程硕士学位。
相关文章 来自档案
原文链接/worldoil
May 2023
Special Focus: Well Completion Technology

Enhancing stimulation efficiency in a fractured open-hole carbonate reservoir by diversion design using advanced modelling techniques

An analytical model, based on CFD and discrete element modeling, simulates treatment placement efficiency and diversion effectiveness in HPHT fractured carbonate reservoirs. Application of the innovative technique increased expected production 20% in a North American well.
Mohammed Omer / Weatherford Diana Velazquez / Weatherford Carmen Ramirez / Weatherford Dr. Francisco Fragachan / Weatherford

Production enhancement from permeability-challenged formations depends on the effectiveness of the hydraulic fracturing design. During a stimulation operation, a fracturing fluid is injected into the formation, above the formation pressure, to create fractures from the wellbore wall in different orientations, due to the stress concentration and variation in the near-wellbore region.  

The industry practices in North America prove that hydraulic fracturing is an essential tool for enhancing production from low-permeability reservoirs. Some of the common shale plays around the world, including the Barnett, Vaca Muerta and others, experienced an initial high production rate after stimulation but had a steep decline within the first few months after reaching peak rate, resulting in low recovery efficiency 

When stimulation fluids are injected into the formation, they take the path that offers the least resistance i.e., they penetrate areas with open flow paths, like perforations, fractures, natural fissures, wormholes, or vuggy zones. The reservoir and rock mechanical properties of the formation, like Young’s modulus, UCS, porosity, and permeability, dictate the competition between simultaneously and propagating flow paths and hence affect the stimulation slurry distribution. When mechanical interactions happen between fractures that are in close proximity to each other, this could further create challenges in the distribution of the stimulation fluid.  

To maximize the zonal coverage of the stimulation fluids, existing fluid paths and/or higher permeability areas or natural fractures must be temporarily sealed, enabling the treatment fluid to uniformly penetrate across the zone. The controlling parameters for enhancing the production efficiency are the fracture network, distribution of stimulation fluids i.e., zonal coverage enhancement, high displacement efficiency, and uniform and effective diversion. This is to obtain high production efficiency, optimum production rates and reduction in completion costs. The authors will focus on effective diversion design, using an engineered workflow to achieve the goal.  

HISTORICAL PERSPECTIVE  

Different types of diversion mechanisms have been utilized for enhancing the zonal isolation and preventing the stimulation slurry from taking the path of least resistance. Abdelfatah introduced a model to design and optimize in-situ acid diversion systems using nanoparticles.1 Sarmah explored the effectiveness of a cationic‐polymer acid system with a self‐breaking ability for acid diversion for carbonate formation.2 Also, engineered bio-degradable bi-particulate diverters can effectively seal the openings or high-permeability areas to divert the stimulation fluid into under-stimulated regions for enhancing the zonal coverage, thereby increasing the production efficiency.  

The success of fluid diversion treatments is governed by the reservoir and rock mechanical properties of the formation, and which influence the pumping strategy design of the diversion system. This study focuses on the underlying mechanisms of fluid movement. The workflow utilized combines both analytical and numerical techniques to optimize the design of stimulation slurry and its deployment in the field to ensure effective zonal coverage. One field data set from North America was used to demonstrate the applications of the proposed workflow in different fluid simulations. Our analysis shows that we can optimize the configuration, using the workflow to enhance the zonal coverage of the stimulation slurry. 

NEW DIVERSION METHOD 

In this study, we utilized a divergent acid system, Fig. 1. It contains a cationic polyacrylate copolymer of moderately high molecular weight pH buffer, along with a crosslinking agent. The acid diversion system is designed with 5% active HCl. Activation occurs when the systems reach a pH between 2.5 and 3 and breaks when the pH gets to 5 or higher. This is stable for temperatures up to 350°F or 177°C. Viscosity is generated in situ, as the acid spends, reducing friction pressure, which, in turn, reduces the horsepower (HP) required to pump the acid treatment. Figure 2 represents the viscosity versus (v/s) pH behavior of this acid diverting system at 28°C.  

Fig. 1. Divergent acid.
Fig. 1. Divergent acid.
Fig. 2. Viscosity vs pH @ 28oC of acid diverting system with 5% HCl.
Fig. 2. Viscosity vs pH @ 28oC of acid diverting system with 5% HCl.

The crosslinked fluid will divert the live acid to another part of the formation, to minimize the development of a dominant wormhole and reduce fluid loss. As the acid continues to spend, and the pH increases to between 4.0 and 5.0, the system will return to the original viscosity. This is used in acid fracturing applications and self-diverting acid systems for carbonate gas and oil reservoirs.  

Viscosity development allows the flow of acid to be diverted within the reservoir, as the acid begins to spend and then allows efficient flowback of spent acid, once the pH reaches above 5.0. This helps in a deeper penetration than a conventional HCl system without gel, and due to the self-diverting feature of these systems, more complex wormhole patterns can be expected. 

CASE HISTORY 

The data utilized in this work is from a highly fractured carbonate formation in North America with a bottomhole temperature of around 355°F. The well is an “S” type directional profile with a total depth of 24,947 ft, Fig. 3. It consists of 4½-in. tubing at 13,983 ft and a packer at 13,146 ft. The 7-in. liner runs through 22,913 ft.  

Fig. 3. Well profile.
Fig. 3. Well profile.

The open-hole section starts from 22,913 ft and runs to 24,948 ft, which is an approximately 2,000-ft-long interval with the presence of natural fractures. The average water saturation (Sw) of the well was 10%, with a reservoir pressure of 11,500 psi. The average porosity of the open-hole section is approximately 4%, Fig. 4. The permeability varies between 0.05 mD and 3 mD at certain depths, like 22,000 ft, 23,881 ft and 24,400 ft. Figure 5 shows higher permeability, indicating a high likelihood of natural fractures. The average skin estimated prior to the stimulation was 70.  

Fig. 4. Porosity v/s depth of the open-hole section.
Fig. 4. Porosity v/s depth of the open-hole section.
Fig. 5. Permeability v/s depth of the open-hole section.
Fig. 5. Permeability v/s depth of the open-hole section.

Optimization strategy. The work showcases the comparison between a non-optimized (i.e., without diversion) and an optimized approach using three stages of diversion.  

Stimulation modeling without diversion. Figure 6 represents the wellbore profile of injection fluids without diversion. The packer was installed at a depth of 13,142 ft. The hydrocarbon fluids were present in the wellbore as static fluid. In the scenario, we simulated the case by pumping the stimulation treatment without diversion across the 1,775-ft open-hole section. The model predicted that stimulation fluids were distributed non-uniformly, and most of the fluid seems to have gone into higher permeability zones or zones with the presence of natural fractures; hence, the open-hole section between 23,500 ft and beyond was not stimulated effectively, Fig. 7. Note that there is no improvement in the skin from 23,500 ft to 24,688 ft

Fig. 6. Injection profile (without diversion).
Fig. 6. Injection profile (without diversion).
Fig. 7. Wormhole and skin prediction (without diversion).
Fig. 7. Wormhole and skin prediction (without diversion).

The injection into the reservoir per unit length of the well is an indicator of the zonal coverage. In Fig. 8, each colored line represents injection into the reservoir at each specific depth. We can see that injection of stimulation fluids into the formation is very low in the first 100 minutes (mins.) of injection. At around 115-118 mins., we see a sharp increase in the injection into the reservoir. This is probably due to the fluid following the path of least resistance, i.e., stimulation fluids  entering higher-permeability zones or natural fractures. This is not desirable, as it reduces the treatment efficiency, due to the non-uniform distribution of the stimulation fluids.  

Figure 9 shows the invasion profile along the well. It shows that most of the stimulation fluid invades into the highest-permeability interval and openings (fractures), whereas the bottom interval of the open-hole section does not take (or takes very little) acid. We can also see regions of under-stimulation.  

Fig. 8. Stimulation fluids injected into reservoir per unit length of the well at a given time (without diversion).
Fig. 8. Stimulation fluids injected into reservoir per unit length of the well at a given time (without diversion).
Fig. 9. Wellbore invasion profile (without diversion).
Fig. 9. Wellbore invasion profile (without diversion).

Stimulation modeling with diversion. The first step in this physics-based approach is to calculate the optimum injection rate and total acid volume, prior to considering the diversion system. The design is continuously improved by considering multiple scenarios of diversion system injection until the highest zonal coverage and stimulation efficiency are achieved. The next step is to optimize the stimulation treatment. This scenario was designed by using three stages of an acid diversion system in-between the main acid stages, Fig. 10. The first batch of the diversion stage is usually designed to provide temporary flow resistance in the highest-permeability zone, and the second and third batches are expected to further homogenize the flowrate along the wellbore.  

Fig. 10. Injection profile (with diversion).
Fig. 10. Injection profile (with diversion).

The associated wormhole penetration and final skin reduction along the wellbore length are demonstrated in Fig. 11. It can be seen from the figures that the zonal coverage has been enhanced, as compared to the previous case (no diversion). The skin reduction is obtained in the lower section of the open hole. This is a considerable achievement to uniform the stimulation along the completed length of the wellbore. Figure 12 shows the injection profile along the wellbore after design improvement with diversion slurry. The diversion system in three stages has caused a more homogenized fluid invasion along the wellbore and better skin reduction of the well. 

Fig. 11. Wormhole and skin prediction (with diversion).
Fig. 11. Wormhole and skin prediction (with diversion).
Fig. 12. Stimulation fluids injected into reservoir per unit length of the well at a given time (with diversion).
Fig. 12. Stimulation fluids injected into reservoir per unit length of the well at a given time (with diversion).

Figure 13 captures the invasion of stimulation fluids after the improvement of the design. A comparison between Fig. 13 and Fig. 8 clearly demonstrates more homogenous distribution of fluid along the entire length of the open-hole section. This was made possible by optimizing the design of the diversion stages using our novel workflow. By using the fit-for purpose stimulation/diversion design, we were able to force the stimulation fluid flow into zones of low permeability to homogeneously stimulate the formation to enhance production efficiency. The presented workflow and analyses can quantify the impact of the key parameters on the resulting fluid diversion and, hence, the stimulation efficiency to maximize recovery. 

Fig. 13. Wellbore invasion profile (with diversion).
Fig. 13. Wellbore invasion profile (with diversion).

Production enhancement. The expected production from this well was around 9,320 bcpd and 33.9 MMcfgd. But after the successful engineering design and optimized stimulation, the operator increased production, compared to expected production prediction. The well started producing 11,180 bcpd and 35 MMcfgd.  

VALUE ADDED 

Due to the heterogeneity of the reservoir, it is important to implement a fluid diversion tactic in stimulation application. The case study outlines how to use an engineered solution to design the diversion properly, to distribute the stimulation fluid uniformly into the open-hole section between 22,913 ft and 24,948 ft. The client expected approximately 9,320 bcpd, but after the stimulation job, the well produced 11,180 bcpd. A proper design, based on physics, was critical to the success of diversion treatment. 

The integrated engineering design workflow can guide the fluid design and application in fracturing, matrix acidizing and refracturing operations. We can conclude from the comparison between diversion and non-diversion stimulation treatment designs, that the optimized design can be engineered to enable successful diversion of fracturing fluids into the target zones to create additional fractures. 

The presented design workflow and analysis will better enable operators to design and customize solid particles for efficient fluid diversion. Further, the applications of the presented engineered design workflow can also be prospectively extended for re-fracturing, as well as an acid fluid diversion for matrix acidizing. In this case study, we were able to enhance the distribution of the stimulation fluid across the open-hole interval by optimizing the diversion stages. Uniform fluid distribution, with enhanced zonal coverage, was achieved. This helped the operator to achieve incremental production gains, compared to expectations.  

ACKNOWLEDGMENT 

This article contains excerpts from SPE paper 212424-MS, “Enhancing stimulation efficiency in a fractured open-hole carbonate reservoir by diversion design using advanced modelling techniques,” presented at the SPE Argentina Exploration and Production of Unconventional Resources Symposium, Buenos Aires, Argentina, March 27-29, 2023. 

REFERENCES  

  1. Abdelfatah, E., S. Bang, M. Pournik, J. Shiau, J. Harwell, M. Haroun and M. Rahman, “Acid diversion in carbonates with nanoparticles-based in situ gelled acid, SPE paper 188188-MS, presented at the Abu Dhabi International Petroleum Exhibition & Conference, Abu Dhabi, UAE, November 2017. https://doi.org/10.2118/188188-MS  
  2. Sarmah, A., A. Ibrahim, H. Nasr-El-Din, J. Jackson, “A new cationic polymer system that improves acid diversion in heterogeneous carbonate reservoirs, SPE Journal 25: pp. 2281–2295, 2020. https://doi.org/10.2118/194647-PA  
About the Authors
Mohammed Omer
Weatherford
Mohammed Omer is project engineer for Weatherford’s global R&D team, based in Abu Dhabi. He has over 10 years of experience in the oil and gas industry specializing in drilling/digitalization, wellbore stability modeling, geomechanics studies and development of new stimulation chemicals in addition to water conformance strategy. He has published 25 international publications and has served as a technical committee member for various SPE conferences. He is also an SPE certified technical trainer for Energy4me. Mr. Omer holds a master’s degree in petroleum engineering and a bachelor’s degree in mechanical engineering.
Diana Velazquez
Weatherford
Diana Velazquez has more than 10 years of experience in the oil and gas industry. She specializes in developing solutions focused on production improvement and has led and/or contributed to several stimulations, fracturing and water conformance projects in sandstone and carbonates formations in unconventional and HPHT reservoirs. She is also proficient in developing EOR treatments through microorganism’s injection. Ms. Velazquez is based in Mexico and holds a degree in mechanical engineering and a master’s degree in thermofluids from the National Autonomous University of Mexico.
Carmen Ramirez
Weatherford
Carmen Ramirez is manager of the PPS Weatherford laboratories based in Mexico. She is responsible for developing technologies/materials and executing acid and/or propped fracturing in HTHP/LTLP wells. During her 20 years in the industry, Ms. Ramirez has specialized in formulating a new generation of gelled, divergent and chelating acid systems specifically for HTHP applications. Also, the evaluation of different fracture fluids for low and high temperatures. She graduated from the Central University of Venezuela with a master's degree in engineering from the Universidad De Carabobo, Venezuela.
Dr. Francisco Fragachan
Weatherford
Dr. Francisco Fragachan is global engineering director for pressure pumping and drilling fluids for Weatherford based in Houston. He has over 40 years of experience in the industry, including 10 years with Weatherford. His expertise encompasses well-log analysis, rock physics, well fracture stimulation and formation damage. He has published more than 100 articles and authored 15 patents relating to these issues. Dr. Fragachan holds a master’s degree and a PhD in rock physics from Purdue University, Indiana and a master's degree in petroleum engineering from the University of Tulsa in Oklahoma.
Related Articles FROM THE ARCHIVE