Predicting fluid pressure in sedimentary basins from seismic tomography

10 pages, 9 figures, 2 tables.-- Geophysical Journal International ©: 2019 Predicting fluid pressure in sedimentary basins from seismic tomography Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved

Detalles Bibliográficos
Autores: O'Reilly, Brian M., Prada, Manel, Lavoué, François, Lebedev, Sergei
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/195134
Acceso en línea:http://hdl.handle.net/10261/195134
Access Level:acceso abierto
Palabra clave:Seismic tomography
Europe
Sedimentary basin processes
Permeability and porosity
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spelling Predicting fluid pressure in sedimentary basins from seismic tomographyO'Reilly, Brian M.Prada, ManelLavoué, FrançoisLebedev, SergeiSeismic tomographyEuropeSedimentary basin processesPermeability and porosity10 pages, 9 figures, 2 tables.-- Geophysical Journal International ©: 2019 Predicting fluid pressure in sedimentary basins from seismic tomography Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reservedGravitational compaction of thick (2-10 km) sediment accumulations in sedimentary basins is controlled by the interplay of mechanical and chemical processes that operate over many orders of magnitude in spatial scale. The compaction of sediments into rock typically involves a density increase of ≈500 to 1000 kg m−3, occurring over a depth-scale of several kilometres. The volume decrease in the compacting sediments releases vast volumes of water, which plays an important part in the global hydrological cycle and also in tectonic and geochemical processes; including the formation of hydrocarbon and mineral deposits. This study utilizes recently developed tomographic seismic images from the Porcupine Basin, which lies in the deep-water North Atlantic Ocean. A generic method for predicting fluid pressure variations that are driven by gravitational compaction is developed over the scale of the entire sedimentary basin. The methodology is grounded upon both observational evidence and empirically based theories, relying on geophysical measurements and relationships between sediment porosities and densities. The method is based upon physical concepts that are widely used in the petroleum industry and applied extensively in models of overpressure development in sedimentary basins. Geological and geophysical data from exploration wells are used to test the predictions of the method at two locations within the basin and are found to be in good agreement with the theoryThis publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under Grant Number 13/RC/2092 and is cofunded under the European Regional Development Fund and by PIPCO RSG and its member companiesPeer ReviewedOxford University PressScience Foundation IrelandEuropean Commission2019201920192019info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/195134reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.1093/gji/ggz378Noinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1951342026-05-22T06:33:51Z
dc.title.none.fl_str_mv Predicting fluid pressure in sedimentary basins from seismic tomography
title Predicting fluid pressure in sedimentary basins from seismic tomography
spellingShingle Predicting fluid pressure in sedimentary basins from seismic tomography
O'Reilly, Brian M.
Seismic tomography
Europe
Sedimentary basin processes
Permeability and porosity
title_short Predicting fluid pressure in sedimentary basins from seismic tomography
title_full Predicting fluid pressure in sedimentary basins from seismic tomography
title_fullStr Predicting fluid pressure in sedimentary basins from seismic tomography
title_full_unstemmed Predicting fluid pressure in sedimentary basins from seismic tomography
title_sort Predicting fluid pressure in sedimentary basins from seismic tomography
dc.creator.none.fl_str_mv O'Reilly, Brian M.
Prada, Manel
Lavoué, François
Lebedev, Sergei
author O'Reilly, Brian M.
author_facet O'Reilly, Brian M.
Prada, Manel
Lavoué, François
Lebedev, Sergei
author_role author
author2 Prada, Manel
Lavoué, François
Lebedev, Sergei
author2_role author
author
author
dc.contributor.none.fl_str_mv Science Foundation Ireland
European Commission
dc.subject.none.fl_str_mv Seismic tomography
Europe
Sedimentary basin processes
Permeability and porosity
topic Seismic tomography
Europe
Sedimentary basin processes
Permeability and porosity
description 10 pages, 9 figures, 2 tables.-- Geophysical Journal International ©: 2019 Predicting fluid pressure in sedimentary basins from seismic tomography Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved
publishDate 2019
dc.date.none.fl_str_mv 2019
2019
2019
2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/195134
url http://hdl.handle.net/10261/195134
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/10.1093/gji/ggz378
No
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Oxford University Press
publisher.none.fl_str_mv Oxford University Press
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.81155

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