A model for CO₂ storage and seismic monitoring combining multiphase fluid flow and wave propagation simulators : The Sleipner-field case

Autores
Savioli, Gabriela B.; Santos, Juan Enrique; Carcione, José M.; Gei, Davide
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The main objective of this paper is to use a flow simulator to represent the CO₂ storage and combine it with a wave propagation simulator in order to obtain synthetic seismograms qualitatively matching time-lapse real field data. The procedure is applied to the Utsira formation at Sleipner field. The field data at the site available to us is a collection of seismic sections (time-lapse seismics) used to monitor the CO₂ storage. An estimate of the CO₂ injection rate and the location of the injection point are known. Using these data, we build a geological model, including intramudstone layers with openings, whose coordinates are defined by performing a qualitative match of the field seismic data. The flow simulator parameters and the petrophysical properties are updated to obtain CO₂ saturation maps, including CO₂ plumes, so that the synthetic seismic images resemble the real data. The geological model is based on a porous-media constitutive equation. It considers a poroelastic description of the Utsira formation (a shaly sandstone), based on porosity and clay content, and takes into account the variation of the properties with pore pressure and fluid saturation. Moreover, the model considers the geometrical features of the formations, including the presence of shale seals and fractures. We also assume fractal variations of the petrophysical properties. The numerical simulation of the CO₂-brine flow is based on the Black-Oil formulation, which uses the pressure-volume-temperature (PVT) behavior as a simplified thermodynamic model. The corresponding equations are solved using a finite difference IMPES formulation. Using the resulting saturation and pore-pressure maps, we determine an equivalent viscoelastic medium at the macroscale, formulated in the space-frequency domain. Wave attenuation and velocity dispersion, caused by heterogeneities formed of gas patches, are described with White’s mesoscopic model. The viscoelastic wave equation is solved in the space-frequency domain for a collection of frequencies of interest using a finite-element iterative domain decomposition algorithm. The space-time solution is recovered by a discrete inverse Fourier transform, allowing us to obtain our synthetic seismograms. In the numerical examples, we determine a set of flow and petrophysical parameters allowing us to obtain synthetic seismograms resembling actual field data. In particular, this approach yields CO₂ accumulations below the mudstone layers and synthetic seismograms which successfully reproduce the typical pushdown effect.
Facultad de Ciencias Astronómicas y Geofísicas
Materia
Astronomía
Geofísica
Multiphase fluid flow
CO₂ injection and storage
Wave propagation
Synthetic seismograms
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/135636

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repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling A model for CO₂ storage and seismic monitoring combining multiphase fluid flow and wave propagation simulators : The Sleipner-field caseSavioli, Gabriela B.Santos, Juan EnriqueCarcione, José M.Gei, DavideAstronomíaGeofísicaMultiphase fluid flowCO₂ injection and storageWave propagationSynthetic seismogramsThe main objective of this paper is to use a flow simulator to represent the CO₂ storage and combine it with a wave propagation simulator in order to obtain synthetic seismograms qualitatively matching time-lapse real field data. The procedure is applied to the Utsira formation at Sleipner field. The field data at the site available to us is a collection of seismic sections (time-lapse seismics) used to monitor the CO₂ storage. An estimate of the CO₂ injection rate and the location of the injection point are known. Using these data, we build a geological model, including intramudstone layers with openings, whose coordinates are defined by performing a qualitative match of the field seismic data. The flow simulator parameters and the petrophysical properties are updated to obtain CO₂ saturation maps, including CO₂ plumes, so that the synthetic seismic images resemble the real data. The geological model is based on a porous-media constitutive equation. It considers a poroelastic description of the Utsira formation (a shaly sandstone), based on porosity and clay content, and takes into account the variation of the properties with pore pressure and fluid saturation. Moreover, the model considers the geometrical features of the formations, including the presence of shale seals and fractures. We also assume fractal variations of the petrophysical properties. The numerical simulation of the CO₂-brine flow is based on the Black-Oil formulation, which uses the pressure-volume-temperature (PVT) behavior as a simplified thermodynamic model. The corresponding equations are solved using a finite difference IMPES formulation. Using the resulting saturation and pore-pressure maps, we determine an equivalent viscoelastic medium at the macroscale, formulated in the space-frequency domain. Wave attenuation and velocity dispersion, caused by heterogeneities formed of gas patches, are described with White’s mesoscopic model. The viscoelastic wave equation is solved in the space-frequency domain for a collection of frequencies of interest using a finite-element iterative domain decomposition algorithm. The space-time solution is recovered by a discrete inverse Fourier transform, allowing us to obtain our synthetic seismograms. In the numerical examples, we determine a set of flow and petrophysical parameters allowing us to obtain synthetic seismograms resembling actual field data. In particular, this approach yields CO₂ accumulations below the mudstone layers and synthetic seismograms which successfully reproduce the typical pushdown effect.Facultad de Ciencias Astronómicas y Geofísicas2017-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf223-239http://sedici.unlp.edu.ar/handle/10915/135636enginfo:eu-repo/semantics/altIdentifier/issn/1420-0597info:eu-repo/semantics/altIdentifier/issn/1573-1499info:eu-repo/semantics/altIdentifier/doi/10.1007/s10596-016-9607-yinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:31:57Zoai:sedici.unlp.edu.ar:10915/135636Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:31:58.131SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv A model for CO₂ storage and seismic monitoring combining multiphase fluid flow and wave propagation simulators : The Sleipner-field case
title A model for CO₂ storage and seismic monitoring combining multiphase fluid flow and wave propagation simulators : The Sleipner-field case
spellingShingle A model for CO₂ storage and seismic monitoring combining multiphase fluid flow and wave propagation simulators : The Sleipner-field case
Savioli, Gabriela B.
Astronomía
Geofísica
Multiphase fluid flow
CO₂ injection and storage
Wave propagation
Synthetic seismograms
title_short A model for CO₂ storage and seismic monitoring combining multiphase fluid flow and wave propagation simulators : The Sleipner-field case
title_full A model for CO₂ storage and seismic monitoring combining multiphase fluid flow and wave propagation simulators : The Sleipner-field case
title_fullStr A model for CO₂ storage and seismic monitoring combining multiphase fluid flow and wave propagation simulators : The Sleipner-field case
title_full_unstemmed A model for CO₂ storage and seismic monitoring combining multiphase fluid flow and wave propagation simulators : The Sleipner-field case
title_sort A model for CO₂ storage and seismic monitoring combining multiphase fluid flow and wave propagation simulators : The Sleipner-field case
dc.creator.none.fl_str_mv Savioli, Gabriela B.
Santos, Juan Enrique
Carcione, José M.
Gei, Davide
author Savioli, Gabriela B.
author_facet Savioli, Gabriela B.
Santos, Juan Enrique
Carcione, José M.
Gei, Davide
author_role author
author2 Santos, Juan Enrique
Carcione, José M.
Gei, Davide
author2_role author
author
author
dc.subject.none.fl_str_mv Astronomía
Geofísica
Multiphase fluid flow
CO₂ injection and storage
Wave propagation
Synthetic seismograms
topic Astronomía
Geofísica
Multiphase fluid flow
CO₂ injection and storage
Wave propagation
Synthetic seismograms
dc.description.none.fl_txt_mv The main objective of this paper is to use a flow simulator to represent the CO₂ storage and combine it with a wave propagation simulator in order to obtain synthetic seismograms qualitatively matching time-lapse real field data. The procedure is applied to the Utsira formation at Sleipner field. The field data at the site available to us is a collection of seismic sections (time-lapse seismics) used to monitor the CO₂ storage. An estimate of the CO₂ injection rate and the location of the injection point are known. Using these data, we build a geological model, including intramudstone layers with openings, whose coordinates are defined by performing a qualitative match of the field seismic data. The flow simulator parameters and the petrophysical properties are updated to obtain CO₂ saturation maps, including CO₂ plumes, so that the synthetic seismic images resemble the real data. The geological model is based on a porous-media constitutive equation. It considers a poroelastic description of the Utsira formation (a shaly sandstone), based on porosity and clay content, and takes into account the variation of the properties with pore pressure and fluid saturation. Moreover, the model considers the geometrical features of the formations, including the presence of shale seals and fractures. We also assume fractal variations of the petrophysical properties. The numerical simulation of the CO₂-brine flow is based on the Black-Oil formulation, which uses the pressure-volume-temperature (PVT) behavior as a simplified thermodynamic model. The corresponding equations are solved using a finite difference IMPES formulation. Using the resulting saturation and pore-pressure maps, we determine an equivalent viscoelastic medium at the macroscale, formulated in the space-frequency domain. Wave attenuation and velocity dispersion, caused by heterogeneities formed of gas patches, are described with White’s mesoscopic model. The viscoelastic wave equation is solved in the space-frequency domain for a collection of frequencies of interest using a finite-element iterative domain decomposition algorithm. The space-time solution is recovered by a discrete inverse Fourier transform, allowing us to obtain our synthetic seismograms. In the numerical examples, we determine a set of flow and petrophysical parameters allowing us to obtain synthetic seismograms resembling actual field data. In particular, this approach yields CO₂ accumulations below the mudstone layers and synthetic seismograms which successfully reproduce the typical pushdown effect.
Facultad de Ciencias Astronómicas y Geofísicas
description The main objective of this paper is to use a flow simulator to represent the CO₂ storage and combine it with a wave propagation simulator in order to obtain synthetic seismograms qualitatively matching time-lapse real field data. The procedure is applied to the Utsira formation at Sleipner field. The field data at the site available to us is a collection of seismic sections (time-lapse seismics) used to monitor the CO₂ storage. An estimate of the CO₂ injection rate and the location of the injection point are known. Using these data, we build a geological model, including intramudstone layers with openings, whose coordinates are defined by performing a qualitative match of the field seismic data. The flow simulator parameters and the petrophysical properties are updated to obtain CO₂ saturation maps, including CO₂ plumes, so that the synthetic seismic images resemble the real data. The geological model is based on a porous-media constitutive equation. It considers a poroelastic description of the Utsira formation (a shaly sandstone), based on porosity and clay content, and takes into account the variation of the properties with pore pressure and fluid saturation. Moreover, the model considers the geometrical features of the formations, including the presence of shale seals and fractures. We also assume fractal variations of the petrophysical properties. The numerical simulation of the CO₂-brine flow is based on the Black-Oil formulation, which uses the pressure-volume-temperature (PVT) behavior as a simplified thermodynamic model. The corresponding equations are solved using a finite difference IMPES formulation. Using the resulting saturation and pore-pressure maps, we determine an equivalent viscoelastic medium at the macroscale, formulated in the space-frequency domain. Wave attenuation and velocity dispersion, caused by heterogeneities formed of gas patches, are described with White’s mesoscopic model. The viscoelastic wave equation is solved in the space-frequency domain for a collection of frequencies of interest using a finite-element iterative domain decomposition algorithm. The space-time solution is recovered by a discrete inverse Fourier transform, allowing us to obtain our synthetic seismograms. In the numerical examples, we determine a set of flow and petrophysical parameters allowing us to obtain synthetic seismograms resembling actual field data. In particular, this approach yields CO₂ accumulations below the mudstone layers and synthetic seismograms which successfully reproduce the typical pushdown effect.
publishDate 2017
dc.date.none.fl_str_mv 2017-04
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info:eu-repo/semantics/altIdentifier/issn/1573-1499
info:eu-repo/semantics/altIdentifier/doi/10.1007/s10596-016-9607-y
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
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