Seismic Prediction Method of Shale Reservoir Brittleness Index Based on the BP Neural Network for Improving Shale Gas Extraction Efficiency

Seismic Prediction Method of Shale Reservoir Brittleness Index Based on the BP Neural Network for Improving Shale Gas Extraction Efficiency

The current seismic prediction methods of the shale brittleness index are all based on the pre-stack seismic inversion of elastic parameters, and the elastic parameters are transformed by Rickman and other simple linear mathematical relationship formulas. In order to address the low accuracy of the...

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Bibliographic Details
Main Authors: Xuejuan Zhang, Haiyan She, Lei Zhang, Ruolin Li, Jiayang Feng, Ruhao Liu, Xinrui Wang
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Energies
Subjects:
BP neural network
brittleness index
shale reservoir
seismic prediction
Online Access:https://www.mdpi.com/1996-1073/17/18/4751

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https://www.mdpi.com/1996-1073/17/18/4751

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