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https://doi.org/10.1007/978-94-011-1739-5_42

has been cited by the following article:

• TITLE: Applied Geostatisitcs Analysis for Reservoir Characterization Based on the SGeMS (Stanford Geostatistical Modeling Software)

  AUTHORS: Maolin Zhang, Yizhong Zhang, Gaoming Yu

  KEYWORDS: SGeMS, Geostatistics, Variogram, Kriging Map

  JOURNAL NAME: Open Journal of Yangtze Oil and Gas, Vol.2 No.1, January 26, 2017

  ABSTRACT: 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).