Open Journal of Yangtze Oil and Gas

Volume 2, Issue 1 (January 2017)

ISSN Print: 2473-1889   ISSN Online: 2473-1900

Google-based Impact Factor: 0.57  Citations  

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

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DOI: 10.4236/ojogas.2017.21004    1,865 Downloads   3,575 Views  Citations

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).

Share and Cite:

Zhang, M. , Zhang, Y. and Yu, G. (2017) Applied Geostatisitcs Analysis for Reservoir Characterization Based on the SGeMS (Stanford Geostatistical Modeling Software). Open Journal of Yangtze Oil and Gas, 2, 45-66. doi: 10.4236/ojogas.2017.21004.

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