Appropriate formulation of the objective function for the history matching of seismic attributes

The purpose of history matching is to find one or several reservoir models which can reproduce as best as possible all the available data. The available data are traditionally some production data, but today seismic data are often integrated in the history matching process. The way of measuring the misfit between real data and simulated responses has a significant impact on the optimization process and hence on the final optimal model obtained. The classical formulation of the misfit is the least square one, which was used with success for production data. This formulation was naturally extended for seismic data. However, it yields an objective function term which is difficult to reduce. Indeed, seismic data are different from production data since they are defined by millions of points and are generally very noisy. When matching seismic data, the goal is then to capture the main features. As a result, computing a point to point error is not adapted and the resulting objective function is not representative of the quality expected for the match. We propose in this paper to define a more appropriate formulation. The idea is to use some image analysis tools to define a formulation focusing on the main features of seismic images. More precisely, it is based on image segmentation and on a modified Hausdorff metric. We illustrate the success of this formulation on a simple history matching case.

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Main Authors: Tillier, Elodie, Da Veiga, S., Derfoul, R.
Format: article biblioteca
Language:eng
Subjects:U10 - Informatique, mathématiques et statistiques, P30 - Sciences et aménagement du sol, 000 - Autres thèmes, seismologie, bioinformatique, analyse d'image, modèle mathématique, http://aims.fao.org/aos/agrovoc/c_6950, http://aims.fao.org/aos/agrovoc/c_37958, http://aims.fao.org/aos/agrovoc/c_36762, http://aims.fao.org/aos/agrovoc/c_24199,
Online Access:http://agritrop.cirad.fr/567849/
http://agritrop.cirad.fr/567849/1/document_567849.pdf
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spelling dig-cirad-fr-5678492024-01-28T21:14:32Z http://agritrop.cirad.fr/567849/ http://agritrop.cirad.fr/567849/ Appropriate formulation of the objective function for the history matching of seismic attributes. Tillier Elodie, Da Veiga S., Derfoul R.. 2013. Computers and Geosciences, 51 : 64-73.https://doi.org/10.1016/j.cageo.2012.07.031 <https://doi.org/10.1016/j.cageo.2012.07.031> Appropriate formulation of the objective function for the history matching of seismic attributes Tillier, Elodie Da Veiga, S. Derfoul, R. eng 2013 Computers and Geosciences U10 - Informatique, mathématiques et statistiques P30 - Sciences et aménagement du sol 000 - Autres thèmes seismologie bioinformatique analyse d'image modèle mathématique http://aims.fao.org/aos/agrovoc/c_6950 http://aims.fao.org/aos/agrovoc/c_37958 http://aims.fao.org/aos/agrovoc/c_36762 http://aims.fao.org/aos/agrovoc/c_24199 The purpose of history matching is to find one or several reservoir models which can reproduce as best as possible all the available data. The available data are traditionally some production data, but today seismic data are often integrated in the history matching process. The way of measuring the misfit between real data and simulated responses has a significant impact on the optimization process and hence on the final optimal model obtained. The classical formulation of the misfit is the least square one, which was used with success for production data. This formulation was naturally extended for seismic data. However, it yields an objective function term which is difficult to reduce. Indeed, seismic data are different from production data since they are defined by millions of points and are generally very noisy. When matching seismic data, the goal is then to capture the main features. As a result, computing a point to point error is not adapted and the resulting objective function is not representative of the quality expected for the match. We propose in this paper to define a more appropriate formulation. The idea is to use some image analysis tools to define a formulation focusing on the main features of seismic images. More precisely, it is based on image segmentation and on a modified Hausdorff metric. We illustrate the success of this formulation on a simple history matching case. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/567849/1/document_567849.pdf application/pdf Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1016/j.cageo.2012.07.031 10.1016/j.cageo.2012.07.031 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.cageo.2012.07.031 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1016/j.cageo.2012.07.031
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic U10 - Informatique, mathématiques et statistiques
P30 - Sciences et aménagement du sol
000 - Autres thèmes
seismologie
bioinformatique
analyse d'image
modèle mathématique
http://aims.fao.org/aos/agrovoc/c_6950
http://aims.fao.org/aos/agrovoc/c_37958
http://aims.fao.org/aos/agrovoc/c_36762
http://aims.fao.org/aos/agrovoc/c_24199
U10 - Informatique, mathématiques et statistiques
P30 - Sciences et aménagement du sol
000 - Autres thèmes
seismologie
bioinformatique
analyse d'image
modèle mathématique
http://aims.fao.org/aos/agrovoc/c_6950
http://aims.fao.org/aos/agrovoc/c_37958
http://aims.fao.org/aos/agrovoc/c_36762
http://aims.fao.org/aos/agrovoc/c_24199
spellingShingle U10 - Informatique, mathématiques et statistiques
P30 - Sciences et aménagement du sol
000 - Autres thèmes
seismologie
bioinformatique
analyse d'image
modèle mathématique
http://aims.fao.org/aos/agrovoc/c_6950
http://aims.fao.org/aos/agrovoc/c_37958
http://aims.fao.org/aos/agrovoc/c_36762
http://aims.fao.org/aos/agrovoc/c_24199
U10 - Informatique, mathématiques et statistiques
P30 - Sciences et aménagement du sol
000 - Autres thèmes
seismologie
bioinformatique
analyse d'image
modèle mathématique
http://aims.fao.org/aos/agrovoc/c_6950
http://aims.fao.org/aos/agrovoc/c_37958
http://aims.fao.org/aos/agrovoc/c_36762
http://aims.fao.org/aos/agrovoc/c_24199
Tillier, Elodie
Da Veiga, S.
Derfoul, R.
Appropriate formulation of the objective function for the history matching of seismic attributes
description The purpose of history matching is to find one or several reservoir models which can reproduce as best as possible all the available data. The available data are traditionally some production data, but today seismic data are often integrated in the history matching process. The way of measuring the misfit between real data and simulated responses has a significant impact on the optimization process and hence on the final optimal model obtained. The classical formulation of the misfit is the least square one, which was used with success for production data. This formulation was naturally extended for seismic data. However, it yields an objective function term which is difficult to reduce. Indeed, seismic data are different from production data since they are defined by millions of points and are generally very noisy. When matching seismic data, the goal is then to capture the main features. As a result, computing a point to point error is not adapted and the resulting objective function is not representative of the quality expected for the match. We propose in this paper to define a more appropriate formulation. The idea is to use some image analysis tools to define a formulation focusing on the main features of seismic images. More precisely, it is based on image segmentation and on a modified Hausdorff metric. We illustrate the success of this formulation on a simple history matching case.
format article
topic_facet U10 - Informatique, mathématiques et statistiques
P30 - Sciences et aménagement du sol
000 - Autres thèmes
seismologie
bioinformatique
analyse d'image
modèle mathématique
http://aims.fao.org/aos/agrovoc/c_6950
http://aims.fao.org/aos/agrovoc/c_37958
http://aims.fao.org/aos/agrovoc/c_36762
http://aims.fao.org/aos/agrovoc/c_24199
author Tillier, Elodie
Da Veiga, S.
Derfoul, R.
author_facet Tillier, Elodie
Da Veiga, S.
Derfoul, R.
author_sort Tillier, Elodie
title Appropriate formulation of the objective function for the history matching of seismic attributes
title_short Appropriate formulation of the objective function for the history matching of seismic attributes
title_full Appropriate formulation of the objective function for the history matching of seismic attributes
title_fullStr Appropriate formulation of the objective function for the history matching of seismic attributes
title_full_unstemmed Appropriate formulation of the objective function for the history matching of seismic attributes
title_sort appropriate formulation of the objective function for the history matching of seismic attributes
url http://agritrop.cirad.fr/567849/
http://agritrop.cirad.fr/567849/1/document_567849.pdf
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