Data-Driven Seismic Impedance Inversion Based on Multi-Scale Strategy

Data-Driven Seismic Impedance Inversion Based on Multi-Scale Strategy

Seismic impedance inversion is one of the most commonly used techniques for reservoir characterization. High accuracy and high resolution seismic impedance is a prerequisite for subsequent reservoir interpretation. The data-driven approach offers the opportunity for accurate impedance prediction by...

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Bibliographic Details
Main Authors: Guang Zhu, Xiaohong Chen, Jingye Li, Kangkang Guo
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Remote Sensing
Subjects:
seismic inversion
deep learning
multi-scale data
f-x filtering
transfer learning
Online Access:https://www.mdpi.com/2072-4292/14/23/6056

Internet

https://www.mdpi.com/2072-4292/14/23/6056

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