Deep Learning Reservoir Parameter Prediction Based on Seismic Attribute Reduction: Take Ledong Area of Yinggehai Basin as an Example

Deep Learning Reservoir Parameter Prediction Based on Seismic Attribute Reduction: Take Ledong Area of Yinggehai Basin as an Example

As an important indicator to describe reservoir characteristics, reservoir modeling and fluid model, the accurate estimation of reservoir physical parameters can provide a powerful reference for reservoir prediction, but the traditional inversion method of reservoir physical parameters can not give...

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Bibliographic Details
Main Authors: Shiyou LIU, Fuliang QU, Fan ZHOU, Lifeng DENG
Format: Article
Language:English
Published: Editorial Office of Computerized Tomography Theory and Application 2022-10-01
Series:CT Lilun yu yingyong yanjiu
Subjects:
deep learning
seismic attribute reduction
random forest algorithm
reservoir physical parameters
Online Access:https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2021.048

Internet

https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2021.048

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