Integrated Approach to Geostatistics For Optimal Reservoir Properties Distribution – Case Study of X-Reservoir in Niger Delta Basin

Osita Robinson Madu, Jerry Orrelo Athoja, Amarachi Queen Kalu, Obi Mike Onyekonwu
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Abstract

In-depth knowledge of geostatistical analysis, environment of deposition and reservoir facies types is important for optimal distribution of reservoir properties across the reservoir grid. Geostatistics is a veritable tool that is quantitatively used to model spatial continuity, anisotropy direction and capture reservoir heterogeneity for optimal distribution of reservoir properties. When spatial continuity and heterogeneity level of the reservoir are adequately understood and modeled, representative property distribution becomes possible. In the face of limited well data, modeling major and minor directions of horizontal variogram is highly impaired and it becomes difficult to adequately distribute properties within the reservoir grid with enough control. This study is focused on the integration of seismic data, core data, well logs and geological knowledge to carry out geostatistical analysis to optimally distribute facies, porosity and permeability properties within the grid. The degree of reservoir heterogeneity was determined quantitatively using semivariogram and Lorenz plots of core porosity and permeability data. Variogram map generated from seismic attribute was used in combination with the sparse well data points to determine the horizontal variogram. The available well data was adequate enough to model the vertical variogram. The environment of deposition was interpreted as lower to upper shoreface with channel deposits and some shallow marine influence. The properties were normal-scored and modeled with the determined variogram parameters while biasing them with facies. Results of the semivariogram and Lorenz plots showed that the reservoir is fairly heterogenous in terms of spatial continuity. Major direction of the geological continuity is in the Northeast-Southwest direction while the minor direction is orthogonal to it. Final result of the modeled properties was in consonance with the facies types described from the environment of deposition.
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储层物性分布的综合地质统计学方法——以尼日尔三角洲盆地x油藏为例
深入了解地质统计分析、沉积环境和储层相类型对储层物性在储层网格上的优化分布至关重要。地质统计学是一种名副其实的定量工具,可用于模拟空间连续性、各向异性方向和捕获储层非均质性,以实现储层物性的最佳分布。当储层的空间连续性和非均质性水平得到充分认识和模拟时,具有代表性的物性分布就成为可能。面对有限的井数据,水平变异函数的主、次方向建模严重受损,难以在足够控制的情况下在储层网格内充分分布物性。本研究的重点是整合地震数据、岩心数据、测井数据和地质知识,进行地质统计分析,以优化网格内的相、孔隙度和渗透率分布。利用岩心孔隙度和渗透率数据的半变异图和洛伦兹图定量确定储层非均质性程度。利用地震属性生成的变异图,结合稀疏井数据点确定水平变异图。现有的井数据足以模拟垂向变异曲线。沉积环境为上下滨面,有河道沉积和浅海影响。这些性质被正态评分,并用确定的变异函数参数建模,同时将它们与相相偏置。半变异图和洛伦兹图的结果表明,储层在空间连续性方面具有相当的非均质性。地质连续性的主要方向为东北-西南方向,次要方向与东北-西南方向正交。模拟结果与沉积环境描述的相类型一致。
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