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：
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
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
收藏
页码：2794 / 2798
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