Statistical grid-based facies reconstruction and modelling for sedimentary bodies. Alluvial-palustrine and turbiditic examples

The geological community is increasingly aware of the importance of geological heterogeneity for managing subsurface activities. In sedimentary bodies, facies distribution is an important factor constraining geological heterogeneity. Statistical grid-based sedimentary facies reconstruction and model...

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Authors: Falivene Aldea, Oriol, Cabrera, Lluís, Muñoz, J. A., Arbués, Pau, Fernández, Òscar, Sáez, Alberto
Format: article
Status:Published version
Publication Date:2007
Country:España
Institution:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repository:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/16895
Online Access:https://hdl.handle.net/2445/16895
Access Level:Open access
Keyword:Fàcies (Geologia)
Models matemàtics
Facies (Geology)
Mathematical models
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spelling Statistical grid-based facies reconstruction and modelling for sedimentary bodies. Alluvial-palustrine and turbiditic examplesFalivene Aldea, OriolCabrera, LluísMuñoz, J. A.Arbués, PauFernández, ÒscarSáez, AlbertoFàcies (Geologia)Models matemàticsFacies (Geology)Mathematical modelsThe geological community is increasingly aware of the importance of geological heterogeneity for managing subsurface activities. In sedimentary bodies, facies distribution is an important factor constraining geological heterogeneity. Statistical grid-based sedimentary facies reconstruction and modelling methods (FRM methods) can be used to provide accurate representations (reconstructions or models) of facies distribution at a variety of scales, which can be conditioned to hard and soft data. These representations enable geological heterogeneity to be quantified; and therefore, serve as important inputs to manage projects involving subsurface activities. FRM methods are part of a general workflow comprising the construction of a surface-based framework, which is used to build the modelling grid in which these methods operate. This paper describes this workflow and provides an overview, classification, description and illustration of the most widely used FRM methods (deterministic and stochastic). Among others, two selected datasets comprising alluvial-palustrine and turbiditic deposits are used for illustration purposes. This exercise enables critical issues when using FRM methods to be highlighted and also provides some ecommendations on their capabilities. For deterministic facies reconstruction, the main choice of the method to be used is between that employing a continuous or a categorical method. For stochastic facies modelling, choosing between the different techniques must be based on the scale of the problem, the type and density of available data, the objective of the model, and the conceptual depositional model to be reproduced. Realistic representations of facies distribution can be obtained if the available methods are applied appropriately.Universitat de Barcelona (UB). Institut de Ciències de la Terra Jaume Almera (ICTJA). Institut de Diagnosi Ambiental i Estudis de l'Aigua (IDEA). Universitat Autonònoma de Barcelona (UAB). Consejo Superior de Investigaciones Científicas (CSIC)201120112007info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion32 p.application/pdfapplication/pdfhttps://hdl.handle.net/2445/16895Articles publicats en revistes (Dinàmica de la Terra i l'Oceà)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésReproducció del document publicat a: http://doi.org/10.1344/105.000000295Geologica Acta, 2007, vol. 5, núm. 3, p. 199-230http://doi.org/10.1344/105.000000295cc by-sa (c) Falivene et al., 2007http://creativecommons.org/licenses/by-sa/3.0/es/info:eu-repo/semantics/openAccessoai:recercat.cat:2445/168952026-05-29T05:05:01Z
dc.title.none.fl_str_mv Statistical grid-based facies reconstruction and modelling for sedimentary bodies. Alluvial-palustrine and turbiditic examples
title Statistical grid-based facies reconstruction and modelling for sedimentary bodies. Alluvial-palustrine and turbiditic examples
spellingShingle Statistical grid-based facies reconstruction and modelling for sedimentary bodies. Alluvial-palustrine and turbiditic examples
Falivene Aldea, Oriol
Fàcies (Geologia)
Models matemàtics
Facies (Geology)
Mathematical models
title_short Statistical grid-based facies reconstruction and modelling for sedimentary bodies. Alluvial-palustrine and turbiditic examples
title_full Statistical grid-based facies reconstruction and modelling for sedimentary bodies. Alluvial-palustrine and turbiditic examples
title_fullStr Statistical grid-based facies reconstruction and modelling for sedimentary bodies. Alluvial-palustrine and turbiditic examples
title_full_unstemmed Statistical grid-based facies reconstruction and modelling for sedimentary bodies. Alluvial-palustrine and turbiditic examples
title_sort Statistical grid-based facies reconstruction and modelling for sedimentary bodies. Alluvial-palustrine and turbiditic examples
dc.creator.none.fl_str_mv Falivene Aldea, Oriol
Cabrera, Lluís
Muñoz, J. A.
Arbués, Pau
Fernández, Òscar
Sáez, Alberto
author Falivene Aldea, Oriol
author_facet Falivene Aldea, Oriol
Cabrera, Lluís
Muñoz, J. A.
Arbués, Pau
Fernández, Òscar
Sáez, Alberto
author_role author
author2 Cabrera, Lluís
Muñoz, J. A.
Arbués, Pau
Fernández, Òscar
Sáez, Alberto
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Fàcies (Geologia)
Models matemàtics
Facies (Geology)
Mathematical models
topic Fàcies (Geologia)
Models matemàtics
Facies (Geology)
Mathematical models
description The geological community is increasingly aware of the importance of geological heterogeneity for managing subsurface activities. In sedimentary bodies, facies distribution is an important factor constraining geological heterogeneity. Statistical grid-based sedimentary facies reconstruction and modelling methods (FRM methods) can be used to provide accurate representations (reconstructions or models) of facies distribution at a variety of scales, which can be conditioned to hard and soft data. These representations enable geological heterogeneity to be quantified; and therefore, serve as important inputs to manage projects involving subsurface activities. FRM methods are part of a general workflow comprising the construction of a surface-based framework, which is used to build the modelling grid in which these methods operate. This paper describes this workflow and provides an overview, classification, description and illustration of the most widely used FRM methods (deterministic and stochastic). Among others, two selected datasets comprising alluvial-palustrine and turbiditic deposits are used for illustration purposes. This exercise enables critical issues when using FRM methods to be highlighted and also provides some ecommendations on their capabilities. For deterministic facies reconstruction, the main choice of the method to be used is between that employing a continuous or a categorical method. For stochastic facies modelling, choosing between the different techniques must be based on the scale of the problem, the type and density of available data, the objective of the model, and the conceptual depositional model to be reproduced. Realistic representations of facies distribution can be obtained if the available methods are applied appropriately.
publishDate 2007
dc.date.none.fl_str_mv 2007
2011
2011
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/16895
url https://hdl.handle.net/2445/16895
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: http://doi.org/10.1344/105.000000295
Geologica Acta, 2007, vol. 5, núm. 3, p. 199-230
http://doi.org/10.1344/105.000000295
dc.rights.none.fl_str_mv cc by-sa (c) Falivene et al., 2007
http://creativecommons.org/licenses/by-sa/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc by-sa (c) Falivene et al., 2007
http://creativecommons.org/licenses/by-sa/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 32 p.
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universitat de Barcelona (UB). Institut de Ciències de la Terra Jaume Almera (ICTJA). Institut de Diagnosi Ambiental i Estudis de l'Aigua (IDEA). Universitat Autonònoma de Barcelona (UAB). Consejo Superior de Investigaciones Científicas (CSIC)
publisher.none.fl_str_mv Universitat de Barcelona (UB). Institut de Ciències de la Terra Jaume Almera (ICTJA). Institut de Diagnosi Ambiental i Estudis de l'Aigua (IDEA). Universitat Autonònoma de Barcelona (UAB). Consejo Superior de Investigaciones Científicas (CSIC)
dc.source.none.fl_str_mv Articles publicats en revistes (Dinàmica de la Terra i l'Oceà)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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