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Structural and Shape Reconstruction using Inverse Problems and Machine Learning Techniques with Application to Hydrocarbon Reservoirs

机译：用逆问题和机器学习技术应用于碳氢化合物储层的结构和形状重建

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作者
Etienam, Clement.;
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作者单位

The University of Manchester (United Kingdom).;

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授予单位 The University of Manchester (United Kingdom).;
学科
学位 Ph.D.
年度 2019
页码 376 p.
总页数 376
原文格式 PDF
正文语种 eng
中图分类 AAI13909873;
关键词
Subsurface reservoirs;

机译：地下水库;

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2. Application of model trees and other machine learning techniques for algal growth prediction in Yongdam reservoir, Republic of Korea [J] . Jung Nahm-Chung - Popescu Ioana - Kelderman Peter - Solomatine Dimitri P. - Price Roland K. Journal of Hydroinformatics . 2010,第3期

机译：模型树和其他机器学习技术在大韩民国龙潭水库藻类生长预测中的应用
3. Application of model trees and other machine learning techniques for algal growth prediction in Yongdam reservoir, Republic of Korea [J] . Nahm-Chung Jung, Ioana Popescu, Peter Kelderman, Journal of Hydroinformatics . 2010,第3期

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4. APPLICATION OF MACHINE LEARNING TECHNIQUES FOR INVERSE PREDICTION IN MANUFACTURING PROCESS CHAINS [C] . Sapan Shah, Sreedhar Reddy, Avadhut Sardeshmukh, World Congress on Integrated Computational Materials Engineering . 2015

机译：机器学习技术在制造过程中逆预测中的应用
5. Application of Machine Learning Algorithms in Hydrocarbon Exploration and Reservoir Characterization [D] . Keynejad, Saba 2018

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8. Demonstration of high-resolution inverse VSP for reservoir characterization applications. Task 1, Development and evaluation of detector planting techniques; Task 2, Full-scale field demonstration experiments. [R] . J. O. Parra T. E. Owen E. P. Karisch J. H. Bangs B. J. Zook 1992

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Structural and Shape Reconstruction using Inverse Problems and Machine Learning Techniques with Application to Hydrocarbon Reservoirs

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