PREDICTION OF FAULT ROCK PERMEABILITY WITH DEEP LEARNING: TRAINING DATA FROM TRANSFER SAMPLES OF FAULT CORES

被引：0

作者：

Schmatz, J. ^{[1
]}

Klaver, J. ^{[1
]}

Wellmann, E. ^{[1
]}

Jiang, M. ^{[1
]}

Kraus, W. ^{[2
]}

Freitag, S. ^{[3
]}

Hoffmann, A. ^{[1
]}

Deckert, H. ^{[4
]}

机构：

[1] Microstructure and Pores GmbH, Germany

[2] Kraus Georeproduktion, Germany

[3] Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

[4] Institut für Geothermisches Ressourcenmanagemen, Germany

来源：

83rd EAGE Conference and Exhibition 2022 | 2022年 / 4卷

关键词：

D O I：

83rd EAGE Conference and Exhibition 2022

中图分类号：

学科分类号：

摘要：

Deep learning - Faulting - Fertilizers - Learning algorithms - Lime

引用

页码：2794 / 2798

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