Recursive convolutional neural networks in a multiple-point statistics framework-Reference-Cited by-同舟云学术

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Recursive convolutional neural networks in a multiple-point statistics framework

Published:2020-08 Issue: Volume:141 Page:104522
ISSN:0098-3004
Container-title:Computers & Geosciences
language:en
Short-container-title:Computers & Geosciences

Author:

Avalos Sebastian,Ortiz Julian M.

Funder

Natural Sciences and Engineering Council of Canada

Computer and Geoscience Research Scholarship 2018, Canada

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Information Systems

Reference56 articles.

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2. Fast multiple-point simulation using a data-driven path and an efficient gradient-based search;Abdollahifard;Comput. Geosci.,2016

3. Multiple-point geostatistical lithofacies simulation of fluvial sand-rich depositional environment: a case study from Zubair formation/South Rumaila oil field;Al-Mudhafar;SPE Reserv. Eval. Eng.,2018

4. Sequential Simulation with Patterns;Arpat,2005

5. Conditional simulation with patterns;Arpat;Math. Geol.,2007

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