- -

Simultaneous estimation of both geologic and reservoir state variables within an ensemble-based multiple-point statistic framework

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Simultaneous estimation of both geologic and reservoir state variables within an ensemble-based multiple-point statistic framework

Mostrar el registro sencillo del ítem

Ficheros en el ítem

Thumbnail
Nombre: SI_MPS_Liangping.pdf
Tamaño: 1.884Mb
Formato: PDF
Descripción: Versión del Autor.
Abrir
Thumbnail
Nombre: MGEditorVersion.pdf
Tamaño: 4.244Mb
Formato: PDF
Descripción: Versión editorial
Abrir
dc.contributor.author Li, Liangping es_ES
dc.contributor.author Srinivasan, Sanjay es_ES
dc.contributor.author Zhou, Haiyan es_ES
dc.contributor.author Gómez-Hernández, J. Jaime es_ES
dc.date.accessioned 2015-07-03T10:36:02Z
dc.date.available 2015-07-03T10:36:02Z
dc.date.issued 2014-07
dc.identifier.issn 1874-8961
dc.identifier.uri http://hdl.handle.net/10251/52671
dc.description “The final publication is available at Springer via http://dx.doi.org/10.1007/s11004-013-9504-z" es_ES
dc.description.sponsorship The first three authors gratefully acknowledge the financial support by US Department of Energy through project DE-FE0004962. The fourth author acknowledges the financial support by Spanish Ministry of Science and Innovation through project CGL2011-23295. The authors also wish to thank the guest editors, Philippe Renard and Gregoire Mariethoz, as well as three anonymous reviewers for their comments, which substantially helped improving the final version of the manuscript. en_EN
dc.language Español es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Mathematical Geosciences es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject.classification INGENIERIA HIDRAULICA es_ES
dc.title Simultaneous estimation of both geologic and reservoir state variables within an ensemble-based multiple-point statistic framework es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s11004-013-9504-z
dc.relation.projectID info:eu-repo/grantAgreement/DOE//DE-FE0004962/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//CGL2011-23295/ES/MODELACION ESTOCASTICA INVERSA FUERA DE LO NORMAL/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient es_ES
dc.description.bibliographicCitation Li, L.; Srinivasan, S.; Zhou, H.; Gómez-Hernández, JJ. (2014). Simultaneous estimation of both geologic and reservoir state variables within an ensemble-based multiple-point statistic framework. Mathematical Geosciences. 46(5):597-623. https://doi.org/10.1007/s11004-013-9504-z es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1007/s11004-013-9504-z es_ES
dc.description.upvformatpinicio 597 es_ES
dc.description.upvformatpfin 623 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 46 es_ES
dc.description.issue 5 es_ES
dc.relation.senia 284785
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.contributor.funder U.S. Department of Energy es_ES
dc.description.references Aanonsen S, Nævdal G, Oliver D, Reynolds A, Valles B (2009) The ensemble Kalman filter in reservoir engineering—a review. SPE J 14(3):393–412 es_ES
dc.description.references Abdollahifard MJ, Faez K (2013) Stochastic simulation of patterns using Bayesian pattern modeling. Comput Geosci 17(1):99–116 es_ES
dc.description.references Alcolea A, Renard P (2010) Blocking moving window algorithm: conditioning multiple-point simulations to hydrogeological data. Water Resour Res 46:W08511 es_ES
dc.description.references Arpat GB (2005) Sequential simulation with patterns. PhD thesis, Stanford University es_ES
dc.description.references Caers J (2002) Geostatistical history matching under training-image based geological model constraints. In: SPE annual technical conference and exhibition, SPE 77429 es_ES
dc.description.references Caers J (2003) Efficient gradual deformation using a streamline-based proxy method. J Pet Sci Eng 39(1–2):57–83 es_ES
dc.description.references Chen Y, Zhang D (2006) Data assimilation for transient flow in geologic formations via ensemble Kalman filter. Adv Water Resour 29(8):1107–1122 es_ES
dc.description.references Evensen G (2003) The ensemble Kalman filter: theoretical formulation and practical implementation. Ocean Dyn 53(4):343–367 es_ES
dc.description.references Fu J, Gómez-Hernández JJ (2009) A blocking Markov chain Monte Carlo method for inverse stochastic hydrogeological modeling. Math Geosci 41(2):105–128 es_ES
dc.description.references Gómez-Hernández JJ, Sahuquillo A, Capilla JE (1997) Stochastic simulation of transmissivity fields conditional to both transmissivity and piezometric data. 1. Theory. J Hydrol 203(1–4):162–174 es_ES
dc.description.references Gu Y, Oliver D (2006) The ensemble Kalman filter for continuous updating of reservoir simulation models. J Energy Resour Technol 128(1):79–87 es_ES
dc.description.references Guardiano F, Srivastava R (1993) Multivariate geostatistics: beyond bivariate moments. In: Soares A (ed) Geostatistics-Troia. Kluwer Academic, Dordrecht, pp 133–144 es_ES
dc.description.references Hamill T, Whitaker J, Snyder C (2001) Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter. Mon Weather Rev 129:2776–2790 es_ES
dc.description.references Harbaugh AW, Banta ER, Hill MC, McDonald MG (2000) MODFLOW-2000, the US Geological Survey modular ground-water model. US Geological Survey, Branch of Information Services, Reston, VA, Denver, CO es_ES
dc.description.references He J, Sarma P, Durlofsky LJ (2013) Reduced-order flow modeling and geological parameterization for ensemble-based data assimilation. Comput Geosci 55:54–69 es_ES
dc.description.references Hendricks Franssen H, Kinzelbach W (2008) Real-time groundwater flow modeling with the ensemble Kalman filter: joint estimation of states and parameters and the filter inbreeding problem. Water Resour Res 44(9):W09408 es_ES
dc.description.references Hoffman BT, Caers J (2005) Regional probability perturbations for history matching. J Pet Sci Eng 46(1–2):53–71 es_ES
dc.description.references Hu LY, Chugunova T (2008) Multiple-point geostatistics for modeling subsurface heterogeneity: a comprehensive review. Water Resour Res 44(11):W11413 es_ES
dc.description.references Hu LY, Zhao Y, Liu Y, Scheepens C, Bouchard A (2012) Updating multipoint simulatings using the ensemble Kalman filter. Comput Geosci 51:7–15 es_ES
dc.description.references Huang Y, Srinivasan S (2012) Efficient conditional simulation of spatial patterns using a pattern-growth algorithm. Geostatistics Oslo 2012:209–220 es_ES
dc.description.references Jafarpour B, Khodabakhshi M (2011) A probability conditioning method (PCM) for nonlinear flow data integration into multipoint statistical facies simulation. Math Geosci 43(2):133–164 es_ES
dc.description.references Kashib T, Srinivasan S (2006) A probabilistic approach to integrating dynamic data in reservoir models. J Pet Sci Eng 50(3):241–257 es_ES
dc.description.references Li L, Zhou H, Hendricks Franssen HJ, Gómez-Hernández JJ (2012) Modeling transient groundwater flow by coupling ensemble Kalman filtering and upscaling. Water Resour Res 48(1):W01537 es_ES
dc.description.references Li L, Srinivadan S, Zhou H, Gómez-Hernández J (2013) A pilot point guided pattern matching approach to integrate dynamic data into geological model. Adv Water Resour. doi: 10.1016/j.advwatres.2013.10.008 es_ES
dc.description.references Mariethoz G, Renard P, Caers J (2010a) Bayesian inverse problem and optimization with iterative spatial resampling. Water Resour Res 46(11):W11530 es_ES
dc.description.references Mariethoz G, Renard P, Straubhaar J (2010b) The direct sampling method to perform multiple-point geostatistical simulaitons. Water Resour Res 46:W11536 es_ES
dc.description.references Meerschman E, Pirot G, Mariethoz G, Straubhaar J, Meirvenne M, Renard P (2013) A practical guide to performing multiple-point statistical simulations with the direct sampling algorithm. Comput Geosci 52:307–324 es_ES
dc.description.references Ramarao BS, LaVenue de AM, Marsily G, Marietta MG (1995) Pilot point methodology for automated calibration of an ensemble of conditionally simulated transmissivity fields. 1. Theory and computational experiments. Water Resour Res 31(3):475–493 es_ES
dc.description.references Rezaee H, Mariethoz G, Koneshloo M, Asghari O (2013) Multiple-point geostatistical simulation using the bunch-pasting direct sampling method. Comput Geosci 54:293–308 es_ES
dc.description.references Straubhaar J, Renard P, Mariethoz G, Froidevaux R, Besson O (2011) An improved parallel multiple-point algorithm using a list approach. Math Geosci 43(3):305–328 es_ES
dc.description.references Strebelle S (2002) Conditional simulation of complex geological structures using multiple-point statistics. Math Geol 34(1):1–21 es_ES
dc.description.references Sun AY, Morris AP, Mohanty S (2009) Sequential updating of multimodal hydrogeologic parameter fields using localization and clustering techniques. Water Resour Res 45(7):W07424 es_ES
dc.description.references Tahmasebi P, Hezarkhani A, Sahimi M (2012a) Multiple-point geostatistical modeling based on the cross-correlation functions. Comput Geosci 16(3):779–797 es_ES
dc.description.references Tahmasebi P, Sahimi M, Mariethoz G, Hezarkhani A (2012b) Accelerating geostatistical simulations using graphics processing units (GPU). Comput Geosci 46:51–59 es_ES
dc.description.references Wen X, Chen W (2006) Real-time reservoir model updating using ensemble Kalman filter with confirming option. SPE J 11(4):431–442 es_ES
dc.description.references Zhang T, Switzer P, Journel A (2006) Filter-based classification of training image patterns for spatial simulation. Math Geol 38(1):63–80 es_ES
dc.description.references Zhou H, Gómez-Hernández J, Hendricks Franssen H, Li L (2011) An approach to handling non-Gaussianity of parameters and state variables in ensemble Kalman filtering. Adv Water Resour 34(7):844–864 es_ES
dc.description.references Zhou H, Gómez-Hernández J, Li L (2012) A pattern-search-based inverse method. Water Resour Res 48(3):W03505 es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem