An Integrated Approach to Deal with Challenges of Interpreting Pressure-Transient Data in Complex-Reservoir Systems

R. Guerrero, O. H. Al-Obathani
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Abstract

A solid understanding of challenging reservoir complexities such as, naturally fractured "super-k" zones, layered systems, or, wellbore conditions such as, thermally induced mobility changes in the near wellbore region due to injection and uneven formation damage distribution across the wellbore, is essential for a successful development of carbonate reservoirs. These type of complexities play a major role for both reservoir fluid flow and well productivity. An efficient and holistic approach encompassing multiple data sources like image logs, production analysis logs, and pressure transient analysis (PTA) outcomes is of paramount importance in the characterization process of carbonate systems. In this paper illustrative examples showing different complexities, at reservoir level and also at well level, are presented in a systematic way to show the importance of pressure transient analysis (PTA) insights as a building block in the description process of these challenging reservoir features. Reconciling the differences between the static and dynamic data sources in each case was a crucial step to minimize the uncertainties encountered and to significantly broaden the dynamic understanding of these complex reservoir heterogeneities under a synergistic approach. Pressure buildups and falloffs data from multi-well groups, were incorporated and analyzed by advanced numerical models. The selected interpretation models were dependent on the reservoir and wellbore condition diagnosed from the pressure derivative plots. The analyses of wireline and large, real-time Intelligent Field data have provided key dynamic well parameters, such as permeability-thickness product (kh), productivity index and anisotropy ratio (kv/kh), that were critical input parameters in the characterization process of these complex reservoir systems.
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解决复杂储层系统压力瞬变数据解释挑战的综合方法
对具有挑战性的储层复杂性(如天然裂缝“超级k”层、分层系统,或井眼条件(如近井筒区域由于注入引起的热致流动性变化和井筒中不均匀的地层损害分布)的深刻理解,对于碳酸盐岩储层的成功开发至关重要。这些类型的复杂性对储层流体流动和油井产能都起着重要作用。在碳酸盐岩体系表征过程中,高效、全面的方法包括多种数据源,如图像测井、生产分析测井和压力瞬变分析(PTA)结果。本文以系统的方式展示了油藏层面和井层面不同复杂性的示例,以显示压力瞬变分析(PTA)见解在描述这些具有挑战性的油藏特征过程中的重要性。协调每种情况下静态和动态数据源之间的差异是最小化所遇到的不确定性,并在协同方法下显着扩大对这些复杂油藏非均质性的动态理解的关键步骤。采用先进的数值模型对多井组的压力上升和下降数据进行了整合和分析。所选择的解释模型取决于从压力导数图中诊断出的油藏和井筒状况。电缆和大型实时智能现场数据的分析提供了关键的动态井参数,如渗透率-厚度积(kh)、产能指数和各向异性比(kv/kh),这些都是这些复杂储层系统表征过程中的关键输入参数。
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