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

ISSN Print: 2473-1889
ISSN Online: 2473-1900
www.scirp.org/journal/ojogas
E-mail: ojogas@scirp.org

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"Applied Geostatisitcs Analysis for Reservoir Characterization Based on the SGeMS (Stanford Geostatistical Modeling Software)"
written by Maolin Zhang, Yizhong Zhang, Gaoming Yu,
published by Open Journal of Yangtze Oil and Gas, Vol.2 No.1, 2017

has been cited by the following article(s):

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[6]	Applied geostatistics for reservoir characterization: High Resolution Cells based model
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[7]	Modelamiento geoestadístico aplicado a la caracterización de yacimientos: modelo basado en Celdas de Alta Resolución
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[1]	Determining the drilling mud window by integration of geostatistics, intelligent, and conditional programming models in an oilfield of SW Iran Journal of Petroleum Exploration and Production Technology, 2023 DOI:10.1007/s13202-023-01613-6

[2]	Determining the drilling mud window by integration of geostatistics, intelligent, and conditional programming models in an oilfield of SW Iran Journal of Petroleum Exploration and Production Technology, 2023 DOI:10.1007/s13202-023-01613-6

[3]	Geostatistics and Artificial Intelligence Applications for Spatial Evaluation of Bearing Capacity after Dynamic Compaction Advances in Civil Engineering, 2022 DOI:10.1155/2022/7053228

[4]	Analysis of Spatial Distribution Pattern of Reservoir Petrophysical Properties for Horizontal Well Performance Evaluation-A Case Study of Reservoir X The Open Petroleum Engineering Journal, 2019 DOI:10.2174/1874834101912010001