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Modeling of the Shale Volume in the Hendijan Oil Field Using Seismic Attributes and Artificial Neural Networks

Mahdi TAHERI Ali Asghar CIABEGHODSI Ramin NIKROUZ Ali KADKHODAIE

地质学报(英文版)2021,Vol.95Issue(4):1322-1331,10.
地质学报(英文版)2021,Vol.95Issue(4):1322-1331,10.

Modeling of the Shale Volume in the Hendijan Oil Field Using Seismic Attributes and Artificial Neural Networks

Modeling of the Shale Volume in the Hendijan Oil Field Using Seismic Attributes and Artificial Neural Networks

Mahdi TAHERI 1Ali Asghar CIABEGHODSI 2Ramin NIKROUZ 2Ali KADKHODAIE3

作者信息

  • 1. Seismology Geophysics,Urmia University,Urmia,Iran
  • 2. Department of Geology,Faculty of Sciences,Urmia University,Urmia,Iran
  • 3. Earth Sciences Department,Faculty of Natural Sciences,Tabriz University,Tabriz,Iran
  • 折叠

摘要

关键词

seismic inversion/seismic attributes/artificial neural network and shale volume/Hendijan oil field

Key words

seismic inversion/seismic attributes/artificial neural network and shale volume/Hendijan oil field

引用本文复制引用

Mahdi TAHERI,Ali Asghar CIABEGHODSI,Ramin NIKROUZ,Ali KADKHODAIE..Modeling of the Shale Volume in the Hendijan Oil Field Using Seismic Attributes and Artificial Neural Networks[J].地质学报(英文版),2021,95(4):1322-1331,10.

地质学报(英文版)

OACSCDCSTPCD

1000-9515

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