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首页> 外文会议>Latin American and Caribbean Petroleum Engineering Conference >Streamline-Based Global History Matching for Geological Modeling Calibration. Application to a Giant Fluvio-lacustrine Sandstones Reservoir Field
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Streamline-Based Global History Matching for Geological Modeling Calibration. Application to a Giant Fluvio-lacustrine Sandstones Reservoir Field

机译：基于流的全局历史匹配，用于地质建模校准。应用于巨型Fluvio-Lapustine Sandstones储层储层

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The Dynamic Numerical Simulation in Flowlines (DNSFL) is an alternative tool adapted for handling Fine Scale Dynamic Models. DNSLF uncouples reservoir geometry and heterogeneity from transport equations, solving problems dominated by convective flows in a faster and computationally more efficient way. This allows to build Models of greater spatial discretization and, consequently, to better represent reservoir heterogeneity. This feature has been particularly relevant for studying the current case, that consists of great extension reservoirs with considerable facial and stratigraphical variations. In this paper a workflow is presented, using the above DNSLF properties, in a Global History Matching to develop the "Fine" Scale Geologic Model Calibration and the Definition of a Preliminary Static-Dynamic Model of a giant field of Neuquen Basin, Argentina. The analyzed field is constituted by fluvio-lacustrine deposits, nine sand-clay cycles (only six of them were modeled), partially connected reservoirs; with 380 actives wells in commingled production and water injection; and with a long and detailed history of simultaneous primary and secondary events. CPU runtimes around 70 minutes were achieved using a 808860 grid cells Model, with 111 quarterly based timesteps in a Pentium 4 PC, 2.2GHz CPU and 2GB RAM. This showed that it was possible to work with a big Model in short processing time. With this preliminary model, based on a well-groups-level global history matching, a clear conceptualization of the current primary and secondary production mechanisms, and its productive behavior, was obtained. This reservoir conceptualization was a strong guide for the Global History Matching process. Geostatistical and Upscaling procedures applied for the definition of the Simulation Model could be evaluated by means of sensitivities analysis on some model parameters. This preliminary model allowed sensitivities to make recommendations on future work stages, including Geological Model refinements and detailed History Matching.
机译：流线（DNSFL）中的动态数值模拟是一种适用于处理精细规模动态模型的替代工具。 DNSLF借口储层几何和异质性来自传输方程，解决了对流流动以更快的方式和计算更有效的方式主导的问题。这允许构建更大的空间离散化的模型，从而更好地代表储层异质性。该特征对于研究当前案例尤为重要，该案例包括具有相当大的面部和地层变化的巨大延伸储层。在本文中，在全球历史匹配中使用上述DNSLF属性来提出工作流，以开发“精细”尺度地质模型校准以及Neuquen盆地巨型地区的初步静态模型的定义。分析的领域由氟虫 - 湖泊沉积物构成，九个砂粘土循环（其中六个被建模），部分连接的储层;在混合的生产和注水中有380个活性井;并具有同步初级和次要事件的漫长而详细的历史。使用808860网格单元格模型实现了70分钟大约70分钟的CPU运行时，在奔腾4 PC，2.2GHz CPU和2GB RAM中基于111季度的时间。这表明有可能在短时间处理时间内使用大型模型。利用这种初步模型，基于良好的全球历史匹配，获得了当前的初级和二级生产机制的明确概念化及其生产性行为。该水库概念化是全球历史匹配过程的强大指南。可以通过对某些型号参数的敏感性分析来评估应用于模拟模型的定义的地统计和upscaling程序。这一初步模型允许敏感性提出关于未来工作阶段的建议，包括地质模型改进和详细的历史匹配。

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