Quantitative Seismic Interpretation of Reservoir Parameters and Elastic Anisotropy Based on Rock Physics Model and Neural Network Framework in the Shale Oil Reservoir of the Qianjiang Formation, Jianghan Basin, China

Quantitative Seismic Interpretation of Reservoir Parameters and Elastic Anisotropy Based on Rock Physics Model and Neural Network Framework in the Shale Oil Reservoir of the Qianjiang Formation, Jianghan Basin, China

Quantitative estimates of reservoir parameters and elastic anisotropy using seismic methods is essential for characterizing shale oil reservoirs. Rock physics models were established to quantify elastic anisotropy associated with clay properties, laminated microstructures, and bedding fractures at d...

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Bibliographic Details
Main Authors: Zhiqi Guo, Tao Zhang, Cai Liu, Xiwu Liu, Yuwei Liu
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Energies
Subjects:
shale oil
rock physics model
reservoir parameters
elastic anisotropy
quantitative seismic interpretation
Online Access:https://www.mdpi.com/1996-1073/15/15/5615

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