Flow Simulation Using Local Grid Refinements to Model Laminated Reservoirs

M. Correia, C. Maschio, D. Schiozer
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引用次数: 7

Abstract

Super-giant carbonate fields, such as Ghawar, in Saudi Arabia, and Lula, at the Brazilian pre-salt, show highly heterogeneous behavior that is linked to high permeability intervals in thin layers. This article applies Local Grid Refinements (LGR) integrated with upscaling procedures to improve the representation of highly laminated reservoirs in flow simulation by preserving the static properties and dynamic trends from geological model. This work was developed in five main steps: (1) define a conventional coarse grid, (2) define LGR in the conventional coarse grid according to super-k and well locations, (3) apply an upscaling procedure for all scenarios, (4) define LGR directly in the simulation model, without integrate geological trends in LGR and (5) compare the dynamic response for all cases. To check results and compare upscaling matches, was used the benchmark model UNISIM-II-R, a refined model based on a combination of Brazilian Pre-salt and Ghawar field information. The main results show that the upscaling of geological models for coarse grid with LGR in highly permeable thin layers provides a close dynamic representation of geological characterization compared to conventional coarse grid and LGR only near-wells. Pseudo-relative permeability curves should be considered for (a) conventional coarse grid or (b) LGR scenarios under dual-medium flow simulations as the upscaling of discrete fracture networks and dual-medium flow models presents several limitations. The conventional approach of LGR directly in simulation model, presents worse results than LGR integrated with upscaling procedures as the extrapolation of dynamic properties to the coarse block mismatch the dynamic behavior from geological characterization. This work suggests further improvements for results for upscaling procedures that mask the flow behavior in highly laminated reservoirs.
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基于局部网格细化的层状储层流动模拟
超大型碳酸盐岩油田,如沙特阿拉伯的Ghawar和巴西盐下地区的Lula,表现出与薄层高渗透率层段相关的高度非均质性。本文将局部网格细化(LGR)与升级程序相结合,通过保留地质模型的静态特性和动态趋势来改善高层状储层在流动模拟中的表现。这项工作分为五个主要步骤:(1)定义常规粗网格;(2)根据super-k和井位定义常规粗网格中的LGR;(3)对所有场景应用升级程序;(4)直接在模拟模型中定义LGR,而不考虑LGR的地质趋势;(5)比较所有情况下的动态响应。为了检查结果并比较升级匹配,使用了基准模型UNISIM-II-R,这是一种基于巴西盐下和Ghawar油田信息的改进模型。研究结果表明,与常规粗网格和仅近井LGR相比,含LGR的高渗透薄层粗网格地质模型的升级能更准确地反映地质特征。对于(a)传统的粗网格或(b)双介质流模拟下的LGR情景,应考虑伪相对渗透率曲线,因为离散裂缝网络和双介质流模型的升级存在一些局限性。传统的直接在模拟模型中进行LGR的方法,由于将动态性质外推到粗块体上,与地质特征的动态行为不匹配,其结果不如集成了上尺度过程的LGR。这项工作进一步改善了放大程序的结果,这些程序掩盖了高层状油藏的流动行为。
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