Forward Modelling of Subsurface Fluid Flow for a Heterogeneous Permeability via Physics Informed Neural Networks.

Forward Modelling of Subsurface Fluid Flow for a Heterogeneous Permeability via Physics Informed Neural Networks.

Show other versions (1)

Peer reviewed

Saved in:
Bibliographic Details
Main Authors: Walter, Linus, Parisio, Francesco, Kong, Qingkai, Hanson-Hedgecock, Sara, Vilarrasa, Víctor
Format: comunicación de congreso biblioteca
Language:English
Published: 2022-11-11
Subjects:Ensure access to affordable, reliable, sustainable and modern energy for all,
Online Access:http://hdl.handle.net/10261/311335
Tags: Add Tag
No Tags, Be the first to tag this record!
id dig-idaea-es-10261-311335
record_format koha
spelling dig-idaea-es-10261-3113352023-06-13T10:06:39Z Forward Modelling of Subsurface Fluid Flow for a Heterogeneous Permeability via Physics Informed Neural Networks. Walter, Linus Parisio, Francesco Kong, Qingkai Hanson-Hedgecock, Sara Vilarrasa, Víctor Ensure access to affordable, reliable, sustainable and modern energy for all Peer reviewed 2023-06-13T10:06:39Z 2023-06-13T10:06:39Z 2022-11-11 comunicación de congreso IDAEA Young Researchers’ Week, Barcelona, 11 November 2022 http://hdl.handle.net/10261/311335 en Sí open
institution IDAEA ES
collection DSpace
country España
countrycode ES
component Bibliográfico
access En linea
databasecode dig-idaea-es
tag biblioteca
region Europa del Sur
libraryname Biblioteca del IDAEA España
language English
topic Ensure access to affordable, reliable, sustainable and modern energy for all
Ensure access to affordable, reliable, sustainable and modern energy for all
spellingShingle Ensure access to affordable, reliable, sustainable and modern energy for all
Ensure access to affordable, reliable, sustainable and modern energy for all
Walter, Linus
Parisio, Francesco
Kong, Qingkai
Hanson-Hedgecock, Sara
Vilarrasa, Víctor
Forward Modelling of Subsurface Fluid Flow for a Heterogeneous Permeability via Physics Informed Neural Networks.
description Peer reviewed
format comunicación de congreso
topic_facet Ensure access to affordable, reliable, sustainable and modern energy for all
author Walter, Linus
Parisio, Francesco
Kong, Qingkai
Hanson-Hedgecock, Sara
Vilarrasa, Víctor
author_facet Walter, Linus
Parisio, Francesco
Kong, Qingkai
Hanson-Hedgecock, Sara
Vilarrasa, Víctor
author_sort Walter, Linus
title Forward Modelling of Subsurface Fluid Flow for a Heterogeneous Permeability via Physics Informed Neural Networks.
title_short Forward Modelling of Subsurface Fluid Flow for a Heterogeneous Permeability via Physics Informed Neural Networks.
title_full Forward Modelling of Subsurface Fluid Flow for a Heterogeneous Permeability via Physics Informed Neural Networks.
title_fullStr Forward Modelling of Subsurface Fluid Flow for a Heterogeneous Permeability via Physics Informed Neural Networks.
title_full_unstemmed Forward Modelling of Subsurface Fluid Flow for a Heterogeneous Permeability via Physics Informed Neural Networks.
title_sort forward modelling of subsurface fluid flow for a heterogeneous permeability via physics informed neural networks.
publishDate 2022-11-11
url http://hdl.handle.net/10261/311335
work_keys_str_mv AT walterlinus forwardmodellingofsubsurfacefluidflowforaheterogeneouspermeabilityviaphysicsinformedneuralnetworks
AT parisiofrancesco forwardmodellingofsubsurfacefluidflowforaheterogeneouspermeabilityviaphysicsinformedneuralnetworks
AT kongqingkai forwardmodellingofsubsurfacefluidflowforaheterogeneouspermeabilityviaphysicsinformedneuralnetworks
AT hansonhedgecocksara forwardmodellingofsubsurfacefluidflowforaheterogeneouspermeabilityviaphysicsinformedneuralnetworks
AT vilarrasavictor forwardmodellingofsubsurfacefluidflowforaheterogeneouspermeabilityviaphysicsinformedneuralnetworks
_version_ 1781881369625886720

Similar Items