优化监控:化学提高采收率油田成功应用的实践

Reinaldo Jose Angulo Yznaga, L. Quintero, Francisco J. Arevalo, Ehab Negm
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引用次数: 2

摘要

本文讨论了一种设计和执行稳健的化学提高采收率(EOR)监测方案的最佳方法,考虑了在油藏规模上实施化学提高采收率(CEOR)应用过程中涉及的物理和不确定性。监测包括技术、测量点和数据采集频率。根据现场经验,在油藏条件下,一个强大的监控计划对于确保CEOR应用在实施和执行过程中的高性能起着关键作用。适当的监测计划应侧重于获取与流体-流体和岩石-流体相互作用相关的主要不确定性信息、油藏非均质性对油藏规模的影响、流体动力学以及化学配方的组成和稳定性相关的信息。获得的信息应提供给CEOR建模团队,以跟踪、解释和调整CEOR过程和油藏模型。此外,这些信息应该提供给油藏作业团队,以调整CEOR注入和生产过程,以帮助优化性能。通常,专业文献侧重于描述CEOR配方设计和评估;实验室要求、实验设置和分析结果;现场应用设计与实现;以及现场应用的总体结果。这项工作强调了CEOR过程监控,它的重要性,以及对油田规模应用的影响。控制储层CEOR性能的物理参数和现象存在多种不确定性(例如,与流体饱和度和性质、岩石-流体相互作用、储层非均质性以及储层条件下碱-表面活性剂-聚合物(ASP)配方行为相关的不确定性)。适当的监测设计和实施有助于减轻上述不确定性的影响。因此,监控对于CEOR应用的成功至关重要。一个强大的监测程序的设计和执行应该考虑与CEOR配方操作窗口、流体-流体和岩石-流体相互作用、储层非均质性、储层条件、注入-生产环境以及各种时间尺度相关的主要不确定性,以便及时使用所获得的信息并将解释反馈给CEOR建模和操作团队。本文讨论了在设计和执行一个优化的监视程序时所考虑的物理和不确定性。考虑流体-流体和岩石-流体相互作用、储层非均质性、CEOR配方操作窗口、注采环境和时间尺度,提供了一种系统的方法,以反馈监测程序执行过程中获取和解释的信息。
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Optimizing Surveillance: A Practice for a Successful Chemical EOR Oilfield Application
This paper discusses an optimum approach to design and execution of a robust chemical enhanced oil recovery (EOR) surveillance program considering the physics and uncertainties involved during the implementation of a chemical EOR (CEOR) application at reservoir scale. The surveillance includes techniques, measuring points, and frequency of data acquisition. Based on field experience, a robust surveillance plan plays a key role in ensuring high performance of a CEOR application during implementation and execution at reservoir conditions. A proper surveillance program should focus on acquiring information associated with the main uncertainties related to fluid-fluid and rock-fluid interactions, the impact of reservoir heterogeneities at reservoir scale, fluid dynamics, and the composition and stability of the chemical formulation. The acquired information should be given to the CEOR modeling team to follow up, interpret, and adjust the CEOR process and reservoir model. Also, the information should be given to the reservoir operation team to tune up the CEOR injection and production process to help optimize performance. Typically, specialized literature focuses on describing CEOR formulation design and evaluation; laboratory requirements, experimental settings, and analysis results; field application design and implementation; and overall results of field applications. This work emphasizes CEOR process surveillance, its importance, and impact with respect to oilfield scale applications. There are multiple uncertainties regarding the physical parameters and phenomena that control the performance of the CEOR at reservoir scale (e.g., are uncertainties associated with fluid saturation and properties, rock-fluid interactions, reservoir heterogeneities, and alkali-surfactant-polymer (ASP) formulation behavior at reservoir conditions). A proper surveillance design and implementation help mitigate the impact of the mentioned uncertainties. Therefore, surveillance is paramount for the success of a CEOR application. The design and execution of a robust surveillance program should consider the main uncertainties associated with the CEOR formulation operating window, fluid-fluid and rock-fluid interactions, reservoir heterogeneities, reservoir conditions, injection-production environment, and various time scales for the timely use of the acquired information and the interpretation feedback to the CEOR modeling and operation teams. This work discusses the physics and uncertainties considered during the design and execution of an optimized surveillance program. A systematic approach is provided considering fluid-fluid and rock-fluid interactions, reservoir heterogeneities, CEOR formulation operating window, injection – production environment, and time scales to feedback the acquired and interpreted information during the surveillance program execution.
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