Optimizing Ongoing Field Scale Polymer Flood in South of Oman Through Detailed Simulation

A. Anand, O. Riyami
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Abstract

Polymer flood (PF) applications have increasingly been extended to medium-to-heavy oil reservoirs for enhanced displacement and sweep efficiency and pushing the recovery beyond the limits of conventional recovery techniques. The relatively low carbon footprint and gas-light nature has made PF attractive in many cases compared to the traditional thermal methods. Consequently, many fields in the Sultanate of Oman with viscosities ranging from about 90cP to 500cP have been studied and field trialled for polymer development, and one such field has been successfully undergoing field-scale PF for over 8 years, which is the subject of this study. As PF is matured in the field, the ongoing challenge is to support production operations and optimise flood performance. This study lays the foundation for holistic simulation study targeting theoretical based considerations for PF optimization. It starts with understanding the nature of polymer/polymer and polymer/water type displacements and stabilities, and encompasses modelling the phenomena of viscous fingering/instabilities in a range of model set-ups, starting from high resolution core-scale 2D models to 3D sector models incorporating varying degrees of geological heterogeneities. Understanding of displacement stability gained with high-resolution models is extended to investigate polymer/water mixing, Water-Alternating-Polymer (WAP) recovery and polymer grading (tapering). These subjects have been integrated to emphasise the optimal polymer slug size requirement with creaming curve analyses that build on the principles of containing fingers/instabilities due to lower viscosity follow-up slugs or chase water. The polymer flood optimization is taken to the next step by investigating the concepts of polymer grading. Three prevalent grading concepts proposed by Claridge ([5], [6], [7], [8]), Ligthelm-Schulte and Stegemeier in combination with different mixing rules form the basis of polymer grading assessment. The study highlights significant scope for optimizing polymer flood in the field both in terms of long-term improved recovery performance at reduced cost as well as tackling the short-term operational challenges, potentially impacting the business bottom-line.
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通过详细模拟优化阿曼南部正在进行的油田规模聚合物驱
聚合物驱(PF)的应用越来越多地扩展到中稠油油藏,以提高驱油效率和波及效率,并推动采收率超越传统采收率技术的极限。与传统的热方法相比,相对低的碳足迹和气体轻的性质使PF在许多情况下具有吸引力。因此,在阿曼苏丹国,许多粘度在90cP到500cP之间的油田都进行了聚合物开发的研究和现场试验,其中一个油田已经成功地进行了超过8年的现场规模的PF,这是本研究的主题。随着PF在油田的成熟,持续的挑战是支持生产作业和优化注水性能。本研究为针对PF优化的理论考虑进行整体仿真研究奠定了基础。它首先了解聚合物/聚合物和聚合物/水类型驱替和稳定性的性质,并包括在一系列模型设置中建模粘性指指/不稳定性现象,从高分辨率岩心尺度2D模型到包含不同程度地质非均质性的3D部门模型。通过高分辨率模型获得的驱替稳定性的理解扩展到研究聚合物/水混合、水-聚合物交替(WAP)采收率和聚合物分级(逐渐变细)。这些主题已经整合在一起,以强调最佳聚合物段塞尺寸要求,并通过基于包含手指/由于较低粘度的后续段塞或追逐水而产生的不稳定性原则的乳化曲线分析。通过研究聚合物分级的概念,将聚合物驱优化带入了下一步。Claridge提出的三个流行的分级概念([5],[6],[7],[8])、lighthelm - schulte和Stegemeier结合不同的混合规则构成了聚合物分级评价的基础。该研究强调了优化聚合物驱的重要空间,无论是在降低成本的情况下长期提高采收率,还是在解决短期运营挑战方面,都可能影响业务底线。
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