重力排水系统:利用地质建模和油藏模拟的调查和现场开发

O. Ezeaneche, Robinson Osita Madu, I. Oshilike, Orrelo Jerry Athoja, M. Onyekonwu
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引用次数: 0

摘要

对储层产油机理的正确认识是任何储层实现最佳流体采收率的基础。在历史匹配和油藏模拟之前,通常需要进行详细的岩石物理评价、构造解释、地质描述和建模以及生产动态评估。在本研究中,重力排水机制被确定为尼日尔三角洲省X储层的主要生产动力,这需要使用基于确定相的垂直各向异性比变化进行适当的模型校准,而不是使用单一值方法,这种方法不能正确捕获非均质性。利用地震数据解释生成的构造图,以及现有测井和岩心数据中的其他岩石物理参数(如孔隙度、渗透率和基于沉积环境的相描述),建立了一个捕捉构造倾角、相分布和井位的地质模型。对基本情况模型、低情况和高情况概念模型进行了动态建模,以捕捉油藏不同的构造倾角。基本情况模型的历史匹配结果表明,在整个系统中,基于确定相的垂直各向异性比(即kv/kh)的变化比使用更流行的确定性值更有效地捕获非均质性。此外,与基础模型和低case模型相比,高case模型中气体分离速度最快,倾角最大。根据地质描述和观察到的储层动态,实现了改进的动态模型饱和度匹配。确定了快速获胜方案,这导致了超过100万stb的额外储备收益。因此,构造控制、相类型、储层厚度和原油挥发性是驱动重力泄油机制的关键因素。
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Gravity Drainage System: Investigation and Field Development Using Geological Modelling and Reservoir Simulation
Proper understanding of reservoir producing mechanism forms a backbone for optimal fluid recovery in any reservoir. Such an understanding is usually fostered by a detailed petrophysical evaluation, structural interpretation, geological description and modelling as well as production performance assessment prior to history matching and reservoir simulation. In this study, gravity drainage mechanism was identified as the primary force for production in reservoir X located in Niger Delta province and this required proper model calibration using variation of vertical anisotropic ratio based on identified facies as against a single value method which does not capture heterogeneity properly. Using structural maps generated from interpretation of seismic data, and other petrophysical parameters from available well logs and core data such as porosity, permeability and facies description based on environment of deposition, a geological model capturing the structural dips, facies distribution and well locations was built. Dynamic modeling was conducted on the base case model and also on the low and high case conceptual models to capture different structural dips of the reservoir. The result from history matching of the base case model reveals that variation of vertical anisotropic ratio (i.e. kv/kh) based on identified facies across the system is more effective in capturing heterogeneity than using a deterministic value that is more popular. In addition, gas segregated fastest in the high case model with the steepest dip compared to the base and low case models. An improved dynamic model saturation match was achieved in line with the geological description and the observed reservoir performance. Quick wins scenarios were identified and this led to an additional reserve yield of over 1MMSTB. Therefore, structural control, facies type, reservoir thickness and nature of oil volatility are key forces driving the gravity drainage mechanism.
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