ScaleProTect – Scale Deposition Modeling in Pre-Salt Reservoir

Reda Bouamra, G. Carneiro, P. Machado, Manoel Feliciano Silva, Gabriela Franquiz, H. Guan, T. Lindvig
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引用次数: 2

Abstract

The complexity of carbonate reservoir in pre-salt plays dictates the use of advanced inflow devices to enable optimized reservoir recovery. Intelligent Completions are considered one of the most effective systems for flow control for a production interval. Depending on the actual design and geometry of the intelligent completion tool, inorganic scale deposition can be very difficult to prevent and/or to mitigate. The failure of such equipment tools can cause severe production impairment and affect the entire field economics. In order to provide a high accuracy assessment of the scale deposition risk, a novel methodology involving scale deposition experiments and model generation has been developed. The proposed workflow combines 1D mechanistic methods to define scaling conditions, thermodynamic models to define the scaling tendencies at these conditions and 3D models to predict particles accumulation in complex geometries using numerical techniques describing the multiphysics interactions between solid particles and live fluids. The basis of the models will be presented in this article along with numerical results of the precipitation and deposition phenomena at downhole conditions. This work represents the first holistic approach to characterize scale build-up in the vicinity of inflow equipment walls. Numerical results are presented in this paper.
盐下储层鳞层沉积模型
盐下储层的复杂性决定了采用先进的流入装置来优化储层采收率。智能完井被认为是生产段最有效的流量控制系统之一。根据智能完井工具的实际设计和几何形状,无机结垢很难预防或减轻。此类设备工具的故障可能会导致严重的生产损害,并影响整个油田的经济效益。为了提供对水垢沉积风险的高精度评估,提出了一种包括水垢沉积实验和模型生成的新方法。该工作流程结合了一维机制方法来定义结垢条件,热力学模型来定义这些条件下的结垢趋势,3D模型来预测复杂几何形状中的颗粒积聚,使用数值技术描述固体颗粒与活流体之间的多物理场相互作用。本文将介绍这些模型的基础以及在井下条件下降水和沉积现象的数值结果。这项工作代表了第一个整体方法来表征流入设备壁附近的结垢。文中给出了数值结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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