Review of Enhanced Oil Recovery Decision Making in Complex Carbonate Reservoirs: Fluid Flow and Geomechanics Mechanisms

Q4 Chemical Engineering
Seydeh Hosna Talebian, A. Fahimifar, A. Heidari
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引用次数: 2

Abstract

As a result of reduction trend in exploration of super-giant carbonate fields and depletion of the proven mature fields categorized as easy oil, development of tight, deep carbonates with more complexities in reservoir rock and fluid behavior have become of interest for exploration and development companies in recent years. New challenges have arisen in development of complex carbonates due to fracture network distribution uncertainty, lateral and vertical fluid behavior heterogeneities, unstable asphaltene content, high H2S and CO2 contents and high salinity formation brine. The complexity elements and problems for downhole sampling have made the full understanding of the reservoir behavior and consequently availability of data for further routine analysis and utilization of simulation model as the main way of data integration limited. Therefore, there is an emerging need to better understand the challenges surrounding production and enhanced oil recovery strategies in these reservoirs for an improved oil recovery decision making system. In this paper, the challenges in production, stimulation and enhanced oil recovery strategies in newly-developed complex carbonates are addressed and analyzed based on the changes to the chemical and mechanical environment. An integrated decision-making workflow based on coupled hydro-mechanical mechanisms in water-based EOR methods is discussed.
复杂碳酸盐岩油藏提高采收率决策研究综述:流体流动与地质力学机制
近年来,随着超大型碳酸盐岩油田勘探的减少和已探明的易油成熟油田的枯竭,开发储层岩石和流体行为更为复杂的致密、深层碳酸盐岩已成为勘探开发公司关注的焦点。由于裂缝网络分布的不确定性、横向和纵向流体行为的非均质性、沥青质含量的不稳定、高H2S和高CO2含量以及高矿化度的地层盐水,给复杂碳酸盐岩的开发带来了新的挑战。井下采样的复杂性因素和问题使得对储层动态的充分认识和进一步常规分析数据的可用性以及作为数据集成主要方式的模拟模型的利用受到限制。因此,需要更好地了解这些油藏的生产挑战和提高采收率策略,以改进采收率决策系统。根据化学和力学环境的变化,分析了新开发复杂碳酸盐岩在生产、增产和提高采收率方面面临的挑战。讨论了水基提高采收率方法中基于水-力耦合机制的综合决策流程。
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来源期刊
Applied and Computational Mechanics
Applied and Computational Mechanics Engineering-Computational Mechanics
CiteScore
0.80
自引率
0.00%
发文量
10
审稿时长
14 weeks
期刊介绍: The ACM journal covers a broad spectrum of topics in all fields of applied and computational mechanics with special emphasis on mathematical modelling and numerical simulations with experimental support, if relevant. Our audience is the international scientific community, academics as well as engineers interested in such disciplines. Original research papers falling into the following areas are considered for possible publication: solid mechanics, mechanics of materials, thermodynamics, biomechanics and mechanobiology, fluid-structure interaction, dynamics of multibody systems, mechatronics, vibrations and waves, reliability and durability of structures, structural damage and fracture mechanics, heterogenous media and multiscale problems, structural mechanics, experimental methods in mechanics. This list is neither exhaustive nor fixed.
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