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首页> 外文期刊>Open Journal of Yangtze Oil and Gas >Applied Geostatisitcs Analysis for Reservoir Characterization Based on the SGeMS (Stanford Geostatistical Modeling Software)
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Applied Geostatisitcs Analysis for Reservoir Characterization Based on the SGeMS (Stanford Geostatistical Modeling Software)

机译:基于SGeMS(斯坦福地统计建模软件)的储层表征应用地统计分析

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Reservoir characterization, which could be broadly defined as the process describing various reservoir characters based on the all available data. The data may come from diverse source, including the core sample experiment result, the well log data, the well test data, tracer and production data, 2D, 3D and vertical seismic data, well bore tomography, out crop analogs, etc. Ideally, if most of those data are analyzed and included in the characterization, the reservoir description would be better. However, not all the data are available at the same time. This paper provides a reservoir characterization analysis in the early-stage application, which means before the production, based on real oil filed data by using the SGeMS (Stanford Geostatistical Modeling Software).
机译:储层表征,可以广义地定义为基于所有可用数据描述各种储层特征的过程。数据可能来自多种来源,包括岩心样品实验结果,测井数据,试井数据,示踪剂和生产数据,2D,3D和垂直地震数据,井眼层析成像,农作物类似物等。如果对这些数据中的大多数进行分析并将其包括在特征中,则储层描述会更好。但是,并非所有数据都可以同时使用。本文提供了早期应用中的储层表征分析,这意味着在生产前,将使用SGeMS(斯坦福地统计学模型软件)基于真实的油田数据进行分析。

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