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Hierarchical Pixel-Based Geostatistical Modeling of Estuarine Reservoir Through Streamline Simulation in Ceuta-Tomoporo Field, West Venezuela

机译:基于分层像素的基于Seatline储层通过Stofline模拟,西委内瑞拉的流线模拟

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The geocellular models developed by geostatistical techniques are the key of the integrated studies of reservoirs because they are the link between the geological and dynamic models, where they must represent consistently the heterogeneities described by the geologists and geophysicists in the numeric simulation grid. In addition to the traditional stages required to build a geostatistical model, this case of study involved an evaluation of the dynamic response of several equi-probable geostatistical realizations developed by pixel-based algorithms like Sequential Indicator Simulation[3] (SIS) and Sequential Gaussian Simulation[3] (SGS), obtaining the statistical OOIP. Due to the large number of cells considered in the fine grid, was necessary a streamline besides a finite differences simulator in order to run the model in a reasonable time, stage where was necessary a classical reservoir engineering in order to represent the dynamic behavior.
机译:由地统计技术开发的地理细胞模型是储层的综合研究的关键,因为它们是地质和动态模型之间的联系,在那里它们必须一致地代表地质学家和地球物理学家在数字模拟网格中描述的异质性。除了构建地质统计模型所需的传统阶段,这种研究涉及评估由基于像素的算法(如顺序指示器仿真[3](SIS)和顺序高斯)和顺序高斯(SIS)和顺序高斯(SIS)和顺序高斯(SIS)和顺序高斯的动态响应评估仿真[3](SGS),获取统计ooIP。由于在细网格中考虑的大量细胞,除了有限差异模拟器之外,必须在合理的时间内运行模型,以便在特殊的时间内运行模型,以表示动态行为的阶段。

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