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You searched for subject:(Ensemble Kalman Filter). Showing records 1 – 30 of 110 total matches.

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1. Watanabe, Shingo. Stochastic and Deterministic Inversion Methods for History Matching of Production and Time-Lapse Seismic Data.

Degree: 2013, Texas Digital Library

 Automatic history matching methods utilize various kinds of inverse modeling techniques. In this dissertation, we examine ensemble Kalman filter as a stochastic approach for assimilating… (more)

Subjects/Keywords: ensemble Kalman Filter

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APA (6th Edition):

Watanabe, S. (2013). Stochastic and Deterministic Inversion Methods for History Matching of Production and Time-Lapse Seismic Data. (Thesis). Texas Digital Library. Retrieved from http://hdl.handle.net/1969; http://hdl.handle.net/2249.1/66557

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Watanabe, Shingo. “Stochastic and Deterministic Inversion Methods for History Matching of Production and Time-Lapse Seismic Data.” 2013. Thesis, Texas Digital Library. Accessed October 01, 2020. http://hdl.handle.net/1969; http://hdl.handle.net/2249.1/66557.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Watanabe, Shingo. “Stochastic and Deterministic Inversion Methods for History Matching of Production and Time-Lapse Seismic Data.” 2013. Web. 01 Oct 2020.

Vancouver:

Watanabe S. Stochastic and Deterministic Inversion Methods for History Matching of Production and Time-Lapse Seismic Data. [Internet] [Thesis]. Texas Digital Library; 2013. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/1969; http://hdl.handle.net/2249.1/66557.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Watanabe S. Stochastic and Deterministic Inversion Methods for History Matching of Production and Time-Lapse Seismic Data. [Thesis]. Texas Digital Library; 2013. Available from: http://hdl.handle.net/1969; http://hdl.handle.net/2249.1/66557

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


McMaster University

2. Leach, James. ADVANCING SEQUENTIAL DATA ASSIMILATION METHODS FOR ENHANCED HYDROLOGIC FORECASTING IN SEMI-URBAN WATERSHEDS.

Degree: PhD, 2019, McMaster University

Accurate hydrologic forecasting is vital for proper water resource management. Practices that are impacted by these forecasts include power generation, reservoir management, agricultural water use,… (more)

Subjects/Keywords: Data Assimilation; Ensemble Forecasting; Ensemble Kalman FIlter; Particle Filter; Streamflow

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APA (6th Edition):

Leach, J. (2019). ADVANCING SEQUENTIAL DATA ASSIMILATION METHODS FOR ENHANCED HYDROLOGIC FORECASTING IN SEMI-URBAN WATERSHEDS. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/25083

Chicago Manual of Style (16th Edition):

Leach, James. “ADVANCING SEQUENTIAL DATA ASSIMILATION METHODS FOR ENHANCED HYDROLOGIC FORECASTING IN SEMI-URBAN WATERSHEDS.” 2019. Doctoral Dissertation, McMaster University. Accessed October 01, 2020. http://hdl.handle.net/11375/25083.

MLA Handbook (7th Edition):

Leach, James. “ADVANCING SEQUENTIAL DATA ASSIMILATION METHODS FOR ENHANCED HYDROLOGIC FORECASTING IN SEMI-URBAN WATERSHEDS.” 2019. Web. 01 Oct 2020.

Vancouver:

Leach J. ADVANCING SEQUENTIAL DATA ASSIMILATION METHODS FOR ENHANCED HYDROLOGIC FORECASTING IN SEMI-URBAN WATERSHEDS. [Internet] [Doctoral dissertation]. McMaster University; 2019. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/11375/25083.

Council of Science Editors:

Leach J. ADVANCING SEQUENTIAL DATA ASSIMILATION METHODS FOR ENHANCED HYDROLOGIC FORECASTING IN SEMI-URBAN WATERSHEDS. [Doctoral Dissertation]. McMaster University; 2019. Available from: http://hdl.handle.net/11375/25083


Texas A&M University

3. Roh, Soojin. Robust Ensemble Kalman Filters and Localization for Multiple State Variables.

Degree: PhD, Statistics, 2014, Texas A&M University

Ensemble Kalman filters (EnKF) is a statistical technique used to estimate the state of a nonlinear spatio-temporal dynamical system. This dissertation consists of three parts.… (more)

Subjects/Keywords: Ensemble Kalman filter; Robust; Multivariate Localization

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APA (6th Edition):

Roh, S. (2014). Robust Ensemble Kalman Filters and Localization for Multiple State Variables. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153268

Chicago Manual of Style (16th Edition):

Roh, Soojin. “Robust Ensemble Kalman Filters and Localization for Multiple State Variables.” 2014. Doctoral Dissertation, Texas A&M University. Accessed October 01, 2020. http://hdl.handle.net/1969.1/153268.

MLA Handbook (7th Edition):

Roh, Soojin. “Robust Ensemble Kalman Filters and Localization for Multiple State Variables.” 2014. Web. 01 Oct 2020.

Vancouver:

Roh S. Robust Ensemble Kalman Filters and Localization for Multiple State Variables. [Internet] [Doctoral dissertation]. Texas A&M University; 2014. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/1969.1/153268.

Council of Science Editors:

Roh S. Robust Ensemble Kalman Filters and Localization for Multiple State Variables. [Doctoral Dissertation]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153268


Texas A&M University

4. Odi, Uchenna O. Non-Adjoint Surfactant Flood Optimization of Net Present Value and Incorporation of Optimal Solution Under Geological and Economic Uncertainty.

Degree: MS, Petroleum Engineering, 2011, Texas A&M University

 The advent of smart well technology, which is the use of down hole sensors to adjust well controls (i.e. injection rate, bottomhole pressure, etc.), has… (more)

Subjects/Keywords: Surfactant flooding; Optimization; Ensemble Kalman Filter; Uncertainty

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APA (6th Edition):

Odi, U. O. (2011). Non-Adjoint Surfactant Flood Optimization of Net Present Value and Incorporation of Optimal Solution Under Geological and Economic Uncertainty. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7569

Chicago Manual of Style (16th Edition):

Odi, Uchenna O. “Non-Adjoint Surfactant Flood Optimization of Net Present Value and Incorporation of Optimal Solution Under Geological and Economic Uncertainty.” 2011. Masters Thesis, Texas A&M University. Accessed October 01, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7569.

MLA Handbook (7th Edition):

Odi, Uchenna O. “Non-Adjoint Surfactant Flood Optimization of Net Present Value and Incorporation of Optimal Solution Under Geological and Economic Uncertainty.” 2011. Web. 01 Oct 2020.

Vancouver:

Odi UO. Non-Adjoint Surfactant Flood Optimization of Net Present Value and Incorporation of Optimal Solution Under Geological and Economic Uncertainty. [Internet] [Masters thesis]. Texas A&M University; 2011. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7569.

Council of Science Editors:

Odi UO. Non-Adjoint Surfactant Flood Optimization of Net Present Value and Incorporation of Optimal Solution Under Geological and Economic Uncertainty. [Masters Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7569


Texas A&M University

5. Watanabe, Shingo. A Hybrid Ensemble Kalman Filter for Nonlinear Dynamics.

Degree: MS, Petroleum Engineering, 2011, Texas A&M University

 In this thesis, we propose two novel approaches for hybrid Ensemble Kalman Filter (EnKF) to overcome limitations of the traditional EnKF. The first approach is… (more)

Subjects/Keywords: Ensemble Kalman Filter; History Matching; Reservoir Characterization; Hybrid Ensemble Kalman Filter; Inverse Problem; Streamline Simulation

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APA (6th Edition):

Watanabe, S. (2011). A Hybrid Ensemble Kalman Filter for Nonlinear Dynamics. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7412

Chicago Manual of Style (16th Edition):

Watanabe, Shingo. “A Hybrid Ensemble Kalman Filter for Nonlinear Dynamics.” 2011. Masters Thesis, Texas A&M University. Accessed October 01, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7412.

MLA Handbook (7th Edition):

Watanabe, Shingo. “A Hybrid Ensemble Kalman Filter for Nonlinear Dynamics.” 2011. Web. 01 Oct 2020.

Vancouver:

Watanabe S. A Hybrid Ensemble Kalman Filter for Nonlinear Dynamics. [Internet] [Masters thesis]. Texas A&M University; 2011. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7412.

Council of Science Editors:

Watanabe S. A Hybrid Ensemble Kalman Filter for Nonlinear Dynamics. [Masters Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7412


University of Houston

6. Bicol, Kayla M. 1990-. Advances in Algorithms for Atmospheric Sciences.

Degree: PhD, Mathematics, 2019, University of Houston

 This dissertation contributes to two mathematical disciplines applied in the Atmospheric Sciences: computational fluid dynamics and data assimilation. First, we consider a filter stabilization technique… (more)

Subjects/Keywords: Filter-stabilization; Advection-diffusion-reaction; Data assimilation; Ensemble Kalman filter

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APA (6th Edition):

Bicol, K. M. 1. (2019). Advances in Algorithms for Atmospheric Sciences. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/4701

Chicago Manual of Style (16th Edition):

Bicol, Kayla M 1990-. “Advances in Algorithms for Atmospheric Sciences.” 2019. Doctoral Dissertation, University of Houston. Accessed October 01, 2020. http://hdl.handle.net/10657/4701.

MLA Handbook (7th Edition):

Bicol, Kayla M 1990-. “Advances in Algorithms for Atmospheric Sciences.” 2019. Web. 01 Oct 2020.

Vancouver:

Bicol KM1. Advances in Algorithms for Atmospheric Sciences. [Internet] [Doctoral dissertation]. University of Houston; 2019. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/10657/4701.

Council of Science Editors:

Bicol KM1. Advances in Algorithms for Atmospheric Sciences. [Doctoral Dissertation]. University of Houston; 2019. Available from: http://hdl.handle.net/10657/4701


University of Alberta

7. Yang, Xiongtan. Filtering Approaches for Inequality Constrained Parameter Estimation.

Degree: MS, Department of Chemical and Materials Engineering, 2013, University of Alberta

 Parameter estimation of a dynamic system is an important task in process systems engineering. The utilization of an augmented system offers the approach of estimating… (more)

Subjects/Keywords: Moving horizon estimation; Ensemble Kalman filter; Unscented Kalman filter; Inequality constraints; Parameter estimation; Constrained estimation

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APA (6th Edition):

Yang, X. (2013). Filtering Approaches for Inequality Constrained Parameter Estimation. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/f4752j276

Chicago Manual of Style (16th Edition):

Yang, Xiongtan. “Filtering Approaches for Inequality Constrained Parameter Estimation.” 2013. Masters Thesis, University of Alberta. Accessed October 01, 2020. https://era.library.ualberta.ca/files/f4752j276.

MLA Handbook (7th Edition):

Yang, Xiongtan. “Filtering Approaches for Inequality Constrained Parameter Estimation.” 2013. Web. 01 Oct 2020.

Vancouver:

Yang X. Filtering Approaches for Inequality Constrained Parameter Estimation. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2020 Oct 01]. Available from: https://era.library.ualberta.ca/files/f4752j276.

Council of Science Editors:

Yang X. Filtering Approaches for Inequality Constrained Parameter Estimation. [Masters Thesis]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/f4752j276

8. Bato, Mary Grace. Vers une assimilation des données de déformation en volcanologie : Towards assimilation of deformation measurements in volcanology.

Degree: Docteur es, Sciences de la Terre et de l'Univers et de l'Environnement, 2018, Grenoble Alpes

 Le suivi de la mise en place du magma à faible profondeur et de sa migration vers la surface est crucial pour prévoir les éruptions… (more)

Subjects/Keywords: InSAR; Volcanologie; Gps; Déformation; Assimilation des donnees; Ensemble kalman filter; InSAR; Volcanology; Gps; Deformation; Data assimilation; Ensemble kalman filter; 520

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APA (6th Edition):

Bato, M. G. (2018). Vers une assimilation des données de déformation en volcanologie : Towards assimilation of deformation measurements in volcanology. (Doctoral Dissertation). Grenoble Alpes. Retrieved from http://www.theses.fr/2018GREAU018

Chicago Manual of Style (16th Edition):

Bato, Mary Grace. “Vers une assimilation des données de déformation en volcanologie : Towards assimilation of deformation measurements in volcanology.” 2018. Doctoral Dissertation, Grenoble Alpes. Accessed October 01, 2020. http://www.theses.fr/2018GREAU018.

MLA Handbook (7th Edition):

Bato, Mary Grace. “Vers une assimilation des données de déformation en volcanologie : Towards assimilation of deformation measurements in volcanology.” 2018. Web. 01 Oct 2020.

Vancouver:

Bato MG. Vers une assimilation des données de déformation en volcanologie : Towards assimilation of deformation measurements in volcanology. [Internet] [Doctoral dissertation]. Grenoble Alpes; 2018. [cited 2020 Oct 01]. Available from: http://www.theses.fr/2018GREAU018.

Council of Science Editors:

Bato MG. Vers une assimilation des données de déformation en volcanologie : Towards assimilation of deformation measurements in volcanology. [Doctoral Dissertation]. Grenoble Alpes; 2018. Available from: http://www.theses.fr/2018GREAU018


Virginia Tech

9. Nino Ruiz, Elias David. Efficient formulation and implementation of ensemble based methods in data assimilation.

Degree: PhD, Computer Science, 2016, Virginia Tech

Ensemble-based methods have gained widespread popularity in the field of data assimilation. An ensemble of model realizations encapsulates information about the error correlations driven by… (more)

Subjects/Keywords: Ensemble-based methods; ensemble Kalman filter; ensemble square root filter; hybrid data assimilation; background error covariance matrix estimation; parallel data assimilation

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APA (6th Edition):

Nino Ruiz, E. D. (2016). Efficient formulation and implementation of ensemble based methods in data assimilation. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64438

Chicago Manual of Style (16th Edition):

Nino Ruiz, Elias David. “Efficient formulation and implementation of ensemble based methods in data assimilation.” 2016. Doctoral Dissertation, Virginia Tech. Accessed October 01, 2020. http://hdl.handle.net/10919/64438.

MLA Handbook (7th Edition):

Nino Ruiz, Elias David. “Efficient formulation and implementation of ensemble based methods in data assimilation.” 2016. Web. 01 Oct 2020.

Vancouver:

Nino Ruiz ED. Efficient formulation and implementation of ensemble based methods in data assimilation. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/10919/64438.

Council of Science Editors:

Nino Ruiz ED. Efficient formulation and implementation of ensemble based methods in data assimilation. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/64438


University of Utah

10. Zhang, Hailing. Ensemble kalman filter data assimilation in regions of complex terrain.

Degree: PhD, Atmospheric Sciences, 2014, University of Utah

 Accurate weather forecasting in complex terrain is of great importance, yet it is achallenging problem due to a number of difficulties, including sparse observations,terrain misrepresentation… (more)

Subjects/Keywords: Complex terrain; Data assimilation; Ensemble Kalman filter; Numerical simulation

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APA (6th Edition):

Zhang, H. (2014). Ensemble kalman filter data assimilation in regions of complex terrain. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3486/rec/882

Chicago Manual of Style (16th Edition):

Zhang, Hailing. “Ensemble kalman filter data assimilation in regions of complex terrain.” 2014. Doctoral Dissertation, University of Utah. Accessed October 01, 2020. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3486/rec/882.

MLA Handbook (7th Edition):

Zhang, Hailing. “Ensemble kalman filter data assimilation in regions of complex terrain.” 2014. Web. 01 Oct 2020.

Vancouver:

Zhang H. Ensemble kalman filter data assimilation in regions of complex terrain. [Internet] [Doctoral dissertation]. University of Utah; 2014. [cited 2020 Oct 01]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3486/rec/882.

Council of Science Editors:

Zhang H. Ensemble kalman filter data assimilation in regions of complex terrain. [Doctoral Dissertation]. University of Utah; 2014. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3486/rec/882


University of California – San Diego

11. Wong, Mark. Ensemble-Based Adaptive Observation.

Degree: Mechanical and Aerospace Engineering, 2018, University of California – San Diego

 Adaptive observation seeks to move sensor vehicles in order to accurately estimate and forecast the state of a system. This thesis seeks to formulate an… (more)

Subjects/Keywords: Mechanical engineering; Adaptive Observation; Ensemble Kalman Filter; Plume Tracking

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APA (6th Edition):

Wong, M. (2018). Ensemble-Based Adaptive Observation. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/9kb2g4dv

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wong, Mark. “Ensemble-Based Adaptive Observation.” 2018. Thesis, University of California – San Diego. Accessed October 01, 2020. http://www.escholarship.org/uc/item/9kb2g4dv.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wong, Mark. “Ensemble-Based Adaptive Observation.” 2018. Web. 01 Oct 2020.

Vancouver:

Wong M. Ensemble-Based Adaptive Observation. [Internet] [Thesis]. University of California – San Diego; 2018. [cited 2020 Oct 01]. Available from: http://www.escholarship.org/uc/item/9kb2g4dv.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wong M. Ensemble-Based Adaptive Observation. [Thesis]. University of California – San Diego; 2018. Available from: http://www.escholarship.org/uc/item/9kb2g4dv

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Manchester

12. Etienam, Clement Oku. Structural and Shape Reconstruction using Inverse Problems and Machine Learning Techniques with Application to Hydrocarbon Reservoirs.

Degree: 2019, University of Manchester

 This thesis introduces novel ideas in subsurface reservoir model calibration known as History Matching in the reservoir engineering community. The target of history matching is… (more)

Subjects/Keywords: Inverse problem; Machine Learning; Ensemble Kalman Filter; Level set; History Matching

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APA (6th Edition):

Etienam, C. O. (2019). Structural and Shape Reconstruction using Inverse Problems and Machine Learning Techniques with Application to Hydrocarbon Reservoirs. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:318055

Chicago Manual of Style (16th Edition):

Etienam, Clement Oku. “Structural and Shape Reconstruction using Inverse Problems and Machine Learning Techniques with Application to Hydrocarbon Reservoirs.” 2019. Doctoral Dissertation, University of Manchester. Accessed October 01, 2020. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:318055.

MLA Handbook (7th Edition):

Etienam, Clement Oku. “Structural and Shape Reconstruction using Inverse Problems and Machine Learning Techniques with Application to Hydrocarbon Reservoirs.” 2019. Web. 01 Oct 2020.

Vancouver:

Etienam CO. Structural and Shape Reconstruction using Inverse Problems and Machine Learning Techniques with Application to Hydrocarbon Reservoirs. [Internet] [Doctoral dissertation]. University of Manchester; 2019. [cited 2020 Oct 01]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:318055.

Council of Science Editors:

Etienam CO. Structural and Shape Reconstruction using Inverse Problems and Machine Learning Techniques with Application to Hydrocarbon Reservoirs. [Doctoral Dissertation]. University of Manchester; 2019. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:318055


University of Oklahoma

13. Huang, Bo. Reducing sampling errors of the background error covariance estimate in ensemble-based data assimilation.

Degree: PhD, 2020, University of Oklahoma

Ensemble-based data assimilation (DA) estimates forecast error in a flow-dependent fashion, in contrast to the traditional variational DA assuming static forecast error. Due to computational… (more)

Subjects/Keywords: 4DEnVar; Ensemble Kalman filter; Data assimilation; Sampling errors

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APA (6th Edition):

Huang, B. (2020). Reducing sampling errors of the background error covariance estimate in ensemble-based data assimilation. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/324377

Chicago Manual of Style (16th Edition):

Huang, Bo. “Reducing sampling errors of the background error covariance estimate in ensemble-based data assimilation.” 2020. Doctoral Dissertation, University of Oklahoma. Accessed October 01, 2020. http://hdl.handle.net/11244/324377.

MLA Handbook (7th Edition):

Huang, Bo. “Reducing sampling errors of the background error covariance estimate in ensemble-based data assimilation.” 2020. Web. 01 Oct 2020.

Vancouver:

Huang B. Reducing sampling errors of the background error covariance estimate in ensemble-based data assimilation. [Internet] [Doctoral dissertation]. University of Oklahoma; 2020. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/11244/324377.

Council of Science Editors:

Huang B. Reducing sampling errors of the background error covariance estimate in ensemble-based data assimilation. [Doctoral Dissertation]. University of Oklahoma; 2020. Available from: http://hdl.handle.net/11244/324377


Delft University of Technology

14. De Koning, D. (author). Assimilation of soil moisture data with the ensemble Kalman filter for the intermediate scale soil moisture predictions in the Netherlands.

Degree: 2015, Delft University of Technology

This thesis discusses the applicability of assimilation of artificial SMAP data into a quasi steady state hydrological model to improve soil moisture estimates. The model… (more)

Subjects/Keywords: data assimilation; Ensemble Kalman filter; SMAP; soil moisture

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APA (6th Edition):

De Koning, D. (. (2015). Assimilation of soil moisture data with the ensemble Kalman filter for the intermediate scale soil moisture predictions in the Netherlands. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:392abee2-abb3-4402-80a2-c1939d1e5a66

Chicago Manual of Style (16th Edition):

De Koning, D (author). “Assimilation of soil moisture data with the ensemble Kalman filter for the intermediate scale soil moisture predictions in the Netherlands.” 2015. Masters Thesis, Delft University of Technology. Accessed October 01, 2020. http://resolver.tudelft.nl/uuid:392abee2-abb3-4402-80a2-c1939d1e5a66.

MLA Handbook (7th Edition):

De Koning, D (author). “Assimilation of soil moisture data with the ensemble Kalman filter for the intermediate scale soil moisture predictions in the Netherlands.” 2015. Web. 01 Oct 2020.

Vancouver:

De Koning D(. Assimilation of soil moisture data with the ensemble Kalman filter for the intermediate scale soil moisture predictions in the Netherlands. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2020 Oct 01]. Available from: http://resolver.tudelft.nl/uuid:392abee2-abb3-4402-80a2-c1939d1e5a66.

Council of Science Editors:

De Koning D(. Assimilation of soil moisture data with the ensemble Kalman filter for the intermediate scale soil moisture predictions in the Netherlands. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:392abee2-abb3-4402-80a2-c1939d1e5a66


University of Toronto

15. Chan, Ian. Balance Models for Equatorial Planetary-Scale Dynamics.

Degree: PhD, 2015, University of Toronto

 This thesis aims at advancing our understanding of large-scale dynamics in the tropics, specifically the characterization of slow planetary-scale motions through a balance theory; current… (more)

Subjects/Keywords: Balance Model; Data Assimilation; Ensemble Kalman Filter; Tropical Dynamics; 0725

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APA (6th Edition):

Chan, I. (2015). Balance Models for Equatorial Planetary-Scale Dynamics. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/69259

Chicago Manual of Style (16th Edition):

Chan, Ian. “Balance Models for Equatorial Planetary-Scale Dynamics.” 2015. Doctoral Dissertation, University of Toronto. Accessed October 01, 2020. http://hdl.handle.net/1807/69259.

MLA Handbook (7th Edition):

Chan, Ian. “Balance Models for Equatorial Planetary-Scale Dynamics.” 2015. Web. 01 Oct 2020.

Vancouver:

Chan I. Balance Models for Equatorial Planetary-Scale Dynamics. [Internet] [Doctoral dissertation]. University of Toronto; 2015. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/1807/69259.

Council of Science Editors:

Chan I. Balance Models for Equatorial Planetary-Scale Dynamics. [Doctoral Dissertation]. University of Toronto; 2015. Available from: http://hdl.handle.net/1807/69259


University of Southern California

16. Tan, Minzhao. Mathematical properties of ensemble Kalman filter.

Degree: PhD, Applied Mathematics, 2011, University of Southern California

 This dissertation discusses about mathematical properties of ensemble Kalman filter(EnKF). On one hand, it gives a rigorous statement and proof for asymptotic convergence of the… (more)

Subjects/Keywords: ensemble Kalman filter; data assimilation; covariance approximation; path smoothness

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tan, M. (2011). Mathematical properties of ensemble Kalman filter. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/428388/rec/3982

Chicago Manual of Style (16th Edition):

Tan, Minzhao. “Mathematical properties of ensemble Kalman filter.” 2011. Doctoral Dissertation, University of Southern California. Accessed October 01, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/428388/rec/3982.

MLA Handbook (7th Edition):

Tan, Minzhao. “Mathematical properties of ensemble Kalman filter.” 2011. Web. 01 Oct 2020.

Vancouver:

Tan M. Mathematical properties of ensemble Kalman filter. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Oct 01]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/428388/rec/3982.

Council of Science Editors:

Tan M. Mathematical properties of ensemble Kalman filter. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/428388/rec/3982

17. Mukerjee, Rahul. An investigation of the multi-scale mixed finite element??eamline simulator and it򳠣oupling with the ensemble kalman filter.

Degree: MS, Petroleum Engineering, 2009, Texas A&M University

 The multi-scale mixed finite element method (MsMFEM) discussed in this work uses a two-scale approach, where the solutions to independent local flow problems on the… (more)

Subjects/Keywords: ENSEMBLE KALMAN FILTER

…the historymatching process considerably. The ensemble Kalman filter (EnKF) has… …very fast and have advantages in association with the ensemble Kalman filter. 12 P1 P2… …error covariances causing filter divergence. The Ensemble Kalman Filter (EnKF) is… …traditional extended Kalman filter (EKF15). It is a sequential data assimilation method… …KALMAN FILTER 3.1 Background The Kalman filter addresses the general problem of trying to… 

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APA (6th Edition):

Mukerjee, R. (2009). An investigation of the multi-scale mixed finite element??eamline simulator and it򳠣oupling with the ensemble kalman filter. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2803

Chicago Manual of Style (16th Edition):

Mukerjee, Rahul. “An investigation of the multi-scale mixed finite element??eamline simulator and it򳠣oupling with the ensemble kalman filter.” 2009. Masters Thesis, Texas A&M University. Accessed October 01, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2803.

MLA Handbook (7th Edition):

Mukerjee, Rahul. “An investigation of the multi-scale mixed finite element??eamline simulator and it򳠣oupling with the ensemble kalman filter.” 2009. Web. 01 Oct 2020.

Vancouver:

Mukerjee R. An investigation of the multi-scale mixed finite element??eamline simulator and it򳠣oupling with the ensemble kalman filter. [Internet] [Masters thesis]. Texas A&M University; 2009. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2803.

Council of Science Editors:

Mukerjee R. An investigation of the multi-scale mixed finite element??eamline simulator and it򳠣oupling with the ensemble kalman filter. [Masters Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2803


University of Maryland

18. Merkova, Dagmar. Strategies for Coupling Global and Limited-Area Ensemble Kalman Filter Assimilation.

Degree: Atmospheric and Oceanic Sciences, 2011, University of Maryland

 This thesis compares the forecast performance of four strategies for coupling global and limited area data assimilation: three strategies propagate information from the global to… (more)

Subjects/Keywords: Atmospheric Sciences; coupling; data assimilation; ensemble; kalman filter; limited-area

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APA (6th Edition):

Merkova, D. (2011). Strategies for Coupling Global and Limited-Area Ensemble Kalman Filter Assimilation. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/11476

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Merkova, Dagmar. “Strategies for Coupling Global and Limited-Area Ensemble Kalman Filter Assimilation.” 2011. Thesis, University of Maryland. Accessed October 01, 2020. http://hdl.handle.net/1903/11476.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Merkova, Dagmar. “Strategies for Coupling Global and Limited-Area Ensemble Kalman Filter Assimilation.” 2011. Web. 01 Oct 2020.

Vancouver:

Merkova D. Strategies for Coupling Global and Limited-Area Ensemble Kalman Filter Assimilation. [Internet] [Thesis]. University of Maryland; 2011. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/1903/11476.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Merkova D. Strategies for Coupling Global and Limited-Area Ensemble Kalman Filter Assimilation. [Thesis]. University of Maryland; 2011. Available from: http://hdl.handle.net/1903/11476

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Delft University of Technology

19. Bartczak, Konrad (author). Application of an inverse analysis using the Ensemble Kalman Filter method to a deep excavation case: with validation of constitutive soil models.

Degree: 2020, Delft University of Technology

 Displacement control is of utmost importance in deep excavation design and is usually based on numerical modelling, e.g. Finite Element Method (FEM). Numerical methods tend… (more)

Subjects/Keywords: Optimisation Algorithms; Kalman Filter; Ensemble Kalman filter; Plaxis 2D; Python; Inverse Analysis; Material Model; Deep excavation

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APA (6th Edition):

Bartczak, K. (. (2020). Application of an inverse analysis using the Ensemble Kalman Filter method to a deep excavation case: with validation of constitutive soil models. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:e1c3b336-9c1d-412b-a9bb-1260f84a0fd9

Chicago Manual of Style (16th Edition):

Bartczak, Konrad (author). “Application of an inverse analysis using the Ensemble Kalman Filter method to a deep excavation case: with validation of constitutive soil models.” 2020. Masters Thesis, Delft University of Technology. Accessed October 01, 2020. http://resolver.tudelft.nl/uuid:e1c3b336-9c1d-412b-a9bb-1260f84a0fd9.

MLA Handbook (7th Edition):

Bartczak, Konrad (author). “Application of an inverse analysis using the Ensemble Kalman Filter method to a deep excavation case: with validation of constitutive soil models.” 2020. Web. 01 Oct 2020.

Vancouver:

Bartczak K(. Application of an inverse analysis using the Ensemble Kalman Filter method to a deep excavation case: with validation of constitutive soil models. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2020 Oct 01]. Available from: http://resolver.tudelft.nl/uuid:e1c3b336-9c1d-412b-a9bb-1260f84a0fd9.

Council of Science Editors:

Bartczak K(. Application of an inverse analysis using the Ensemble Kalman Filter method to a deep excavation case: with validation of constitutive soil models. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:e1c3b336-9c1d-412b-a9bb-1260f84a0fd9


University of Oxford

20. Lian, Duan. Bayesian methods for inverse problems.

Degree: PhD, 2013, University of Oxford

 This thesis describes two novel Bayesian methods: the Iterative Ensemble Square Filter (IEnSRF) and the Warp Ensemble Square Root Filter (WEnSRF) for solving the barcode… (more)

Subjects/Keywords: 519.2; Mathematics; inverse problem; barcode detection; deconvolution of well testing data; history matching problem; iterative ensemble Kalman filter; warping ensemble Kalman filter

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lian, D. (2013). Bayesian methods for inverse problems. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:b4000e98-7d56-4274-8210-a22b04be436c ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627791

Chicago Manual of Style (16th Edition):

Lian, Duan. “Bayesian methods for inverse problems.” 2013. Doctoral Dissertation, University of Oxford. Accessed October 01, 2020. http://ora.ox.ac.uk/objects/uuid:b4000e98-7d56-4274-8210-a22b04be436c ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627791.

MLA Handbook (7th Edition):

Lian, Duan. “Bayesian methods for inverse problems.” 2013. Web. 01 Oct 2020.

Vancouver:

Lian D. Bayesian methods for inverse problems. [Internet] [Doctoral dissertation]. University of Oxford; 2013. [cited 2020 Oct 01]. Available from: http://ora.ox.ac.uk/objects/uuid:b4000e98-7d56-4274-8210-a22b04be436c ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627791.

Council of Science Editors:

Lian D. Bayesian methods for inverse problems. [Doctoral Dissertation]. University of Oxford; 2013. Available from: http://ora.ox.ac.uk/objects/uuid:b4000e98-7d56-4274-8210-a22b04be436c ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627791


Delft University of Technology

21. Tsompanopoulos, E. (author). Assimilating GRACE Terrestrial Water Storage observations into a hydrological model.

Degree: 2010, Delft University of Technology

Based on satellite observations of Earths time variable gravity field from the Gravity Recovery and Climate Experiment (GRACE), it is possible to derive variations in… (more)

Subjects/Keywords: GRACE; Data Assimilation; Ensemble Kalman Filter; Ensemble Kalman Smoother; Ensemble Moving Batch Smoother

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tsompanopoulos, E. (. (2010). Assimilating GRACE Terrestrial Water Storage observations into a hydrological model. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:5c2d31a2-5f13-40fc-9aab-608aaa937180

Chicago Manual of Style (16th Edition):

Tsompanopoulos, E (author). “Assimilating GRACE Terrestrial Water Storage observations into a hydrological model.” 2010. Masters Thesis, Delft University of Technology. Accessed October 01, 2020. http://resolver.tudelft.nl/uuid:5c2d31a2-5f13-40fc-9aab-608aaa937180.

MLA Handbook (7th Edition):

Tsompanopoulos, E (author). “Assimilating GRACE Terrestrial Water Storage observations into a hydrological model.” 2010. Web. 01 Oct 2020.

Vancouver:

Tsompanopoulos E(. Assimilating GRACE Terrestrial Water Storage observations into a hydrological model. [Internet] [Masters thesis]. Delft University of Technology; 2010. [cited 2020 Oct 01]. Available from: http://resolver.tudelft.nl/uuid:5c2d31a2-5f13-40fc-9aab-608aaa937180.

Council of Science Editors:

Tsompanopoulos E(. Assimilating GRACE Terrestrial Water Storage observations into a hydrological model. [Masters Thesis]. Delft University of Technology; 2010. Available from: http://resolver.tudelft.nl/uuid:5c2d31a2-5f13-40fc-9aab-608aaa937180


Texas A&M University

22. Watanabe, Shingo. Stochastic and Deterministic Inversion Methods for History Matching of Production and Time-Lapse Seismic Data.

Degree: PhD, Petroleum Engineering, 2013, Texas A&M University

 Automatic history matching methods utilize various kinds of inverse modeling techniques. In this dissertation, we examine ensemble Kalman filter as a stochastic approach for assimilating… (more)

Subjects/Keywords: ensemble Kalman Filter; streamline; inversion; time lapse seismic; history matching; 4D seismic; covariance localization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Watanabe, S. (2013). Stochastic and Deterministic Inversion Methods for History Matching of Production and Time-Lapse Seismic Data. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151664

Chicago Manual of Style (16th Edition):

Watanabe, Shingo. “Stochastic and Deterministic Inversion Methods for History Matching of Production and Time-Lapse Seismic Data.” 2013. Doctoral Dissertation, Texas A&M University. Accessed October 01, 2020. http://hdl.handle.net/1969.1/151664.

MLA Handbook (7th Edition):

Watanabe, Shingo. “Stochastic and Deterministic Inversion Methods for History Matching of Production and Time-Lapse Seismic Data.” 2013. Web. 01 Oct 2020.

Vancouver:

Watanabe S. Stochastic and Deterministic Inversion Methods for History Matching of Production and Time-Lapse Seismic Data. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/1969.1/151664.

Council of Science Editors:

Watanabe S. Stochastic and Deterministic Inversion Methods for History Matching of Production and Time-Lapse Seismic Data. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151664


Texas A&M University

23. De, Debkumar. Essays on Bayesian Time Series and Variable Selection.

Degree: PhD, Statistics, 2014, Texas A&M University

 Estimating model parameters in dynamic model continues to be challenge. In my dissertation, we have introduced a Stochastic Approximation based parameter estimation approach under Ensemble(more)

Subjects/Keywords: Ensemble Kalman Filter; Stochastic Approximation; Non-parametric Regression; Matrix variate regression; Variable selection

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APA (6th Edition):

De, D. (2014). Essays on Bayesian Time Series and Variable Selection. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/152793

Chicago Manual of Style (16th Edition):

De, Debkumar. “Essays on Bayesian Time Series and Variable Selection.” 2014. Doctoral Dissertation, Texas A&M University. Accessed October 01, 2020. http://hdl.handle.net/1969.1/152793.

MLA Handbook (7th Edition):

De, Debkumar. “Essays on Bayesian Time Series and Variable Selection.” 2014. Web. 01 Oct 2020.

Vancouver:

De D. Essays on Bayesian Time Series and Variable Selection. [Internet] [Doctoral dissertation]. Texas A&M University; 2014. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/1969.1/152793.

Council of Science Editors:

De D. Essays on Bayesian Time Series and Variable Selection. [Doctoral Dissertation]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/152793


Penn State University

24. Kumar, Devesh. Ensemble-based assimilation of non-linearly related dynamic data in reservoir models exhibiting non-Gaussian characteristics.

Degree: 2019, Penn State University

 Inverse modeling techniques for estimating reservoir parameters (e.g., Transmissivity, Permeability, etc.) utilize some secondary information (e.g., hydraulic head or production data at well locations) to… (more)

Subjects/Keywords: Data assimilation; Ensemble Kalman filter; non-Gaussian parameters; non-linear models; indicator transforms

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APA (6th Edition):

Kumar, D. (2019). Ensemble-based assimilation of non-linearly related dynamic data in reservoir models exhibiting non-Gaussian characteristics. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16328dbk5187

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kumar, Devesh. “Ensemble-based assimilation of non-linearly related dynamic data in reservoir models exhibiting non-Gaussian characteristics.” 2019. Thesis, Penn State University. Accessed October 01, 2020. https://submit-etda.libraries.psu.edu/catalog/16328dbk5187.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kumar, Devesh. “Ensemble-based assimilation of non-linearly related dynamic data in reservoir models exhibiting non-Gaussian characteristics.” 2019. Web. 01 Oct 2020.

Vancouver:

Kumar D. Ensemble-based assimilation of non-linearly related dynamic data in reservoir models exhibiting non-Gaussian characteristics. [Internet] [Thesis]. Penn State University; 2019. [cited 2020 Oct 01]. Available from: https://submit-etda.libraries.psu.edu/catalog/16328dbk5187.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kumar D. Ensemble-based assimilation of non-linearly related dynamic data in reservoir models exhibiting non-Gaussian characteristics. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16328dbk5187

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

25. Yue, Wenting. DEVELOPMENT OF A PRODUCTION DATA ANALYSIS MODEL AND ITS APPLICATION IN A PRODUCING OIL RESERVOIR.

Degree: 2017, Penn State University

 Production data analysis (PDA) is widely applied by engineers to evaluate reservoirs. However, traditional analytical methods may not be accurate due to simplified assumptions, and… (more)

Subjects/Keywords: production data analysis; Ensemble Kalman Filter; Whole-field evaluation; Reservoir simulation; history matching

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APA (6th Edition):

Yue, W. (2017). DEVELOPMENT OF A PRODUCTION DATA ANALYSIS MODEL AND ITS APPLICATION IN A PRODUCING OIL RESERVOIR. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13756wyy5019

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yue, Wenting. “DEVELOPMENT OF A PRODUCTION DATA ANALYSIS MODEL AND ITS APPLICATION IN A PRODUCING OIL RESERVOIR.” 2017. Thesis, Penn State University. Accessed October 01, 2020. https://submit-etda.libraries.psu.edu/catalog/13756wyy5019.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yue, Wenting. “DEVELOPMENT OF A PRODUCTION DATA ANALYSIS MODEL AND ITS APPLICATION IN A PRODUCING OIL RESERVOIR.” 2017. Web. 01 Oct 2020.

Vancouver:

Yue W. DEVELOPMENT OF A PRODUCTION DATA ANALYSIS MODEL AND ITS APPLICATION IN A PRODUCING OIL RESERVOIR. [Internet] [Thesis]. Penn State University; 2017. [cited 2020 Oct 01]. Available from: https://submit-etda.libraries.psu.edu/catalog/13756wyy5019.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yue W. DEVELOPMENT OF A PRODUCTION DATA ANALYSIS MODEL AND ITS APPLICATION IN A PRODUCING OIL RESERVOIR. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/13756wyy5019

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

26. Shi, Yuning. Development of a land surface hydrologic modeling and data assimilation system for the study of subsurface-land surface interaction.

Degree: 2012, Penn State University

 Coupled models of the land surface and the subsurface, which incorporate hydrologic components into LSMs and couple the deeper subsurface with the atmosphere, may yield… (more)

Subjects/Keywords: Meteorology; hydrology; land surface; numerical modeling; ensemble Kalman filter; Shale Hills watershed

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APA (6th Edition):

Shi, Y. (2012). Development of a land surface hydrologic modeling and data assimilation system for the study of subsurface-land surface interaction. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15355

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Shi, Yuning. “Development of a land surface hydrologic modeling and data assimilation system for the study of subsurface-land surface interaction.” 2012. Thesis, Penn State University. Accessed October 01, 2020. https://submit-etda.libraries.psu.edu/catalog/15355.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Shi, Yuning. “Development of a land surface hydrologic modeling and data assimilation system for the study of subsurface-land surface interaction.” 2012. Web. 01 Oct 2020.

Vancouver:

Shi Y. Development of a land surface hydrologic modeling and data assimilation system for the study of subsurface-land surface interaction. [Internet] [Thesis]. Penn State University; 2012. [cited 2020 Oct 01]. Available from: https://submit-etda.libraries.psu.edu/catalog/15355.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shi Y. Development of a land surface hydrologic modeling and data assimilation system for the study of subsurface-land surface interaction. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/15355

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


King Abdullah University of Science and Technology

27. Ravanelli, Fabio M. History Matching of 4D Seismic Data Attributes using the Ensemble Kalman Filter.

Degree: 2013, King Abdullah University of Science and Technology

 One of the most challenging tasks in the oil industry is the production of reliable reservoir forecast models. Because of different sources of uncertainties the… (more)

Subjects/Keywords: History Matching; Data Assimilation; Time-Lapse Data; 4D Seismic; Ensemble Kalman Filter; Crosswell

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APA (6th Edition):

Ravanelli, F. M. (2013). History Matching of 4D Seismic Data Attributes using the Ensemble Kalman Filter. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/294183

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ravanelli, Fabio M. “History Matching of 4D Seismic Data Attributes using the Ensemble Kalman Filter.” 2013. Thesis, King Abdullah University of Science and Technology. Accessed October 01, 2020. http://hdl.handle.net/10754/294183.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ravanelli, Fabio M. “History Matching of 4D Seismic Data Attributes using the Ensemble Kalman Filter.” 2013. Web. 01 Oct 2020.

Vancouver:

Ravanelli FM. History Matching of 4D Seismic Data Attributes using the Ensemble Kalman Filter. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2013. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/10754/294183.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ravanelli FM. History Matching of 4D Seismic Data Attributes using the Ensemble Kalman Filter. [Thesis]. King Abdullah University of Science and Technology; 2013. Available from: http://hdl.handle.net/10754/294183

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Université Catholique de Louvain

28. Ponsar, Stéphanie. Model state and parameter estimation by assimilation of temperature profiles with an ensemble Kalman filter in North Sea applications.

Degree: 2012, Université Catholique de Louvain

Coastal management and maritime safety strongly rely on accurate representations of the sea state. Both dynamical models and observations provide abundant pieces of information. However,… (more)

Subjects/Keywords: Data assimilation; Ensemble Kalman filter; Combined model state and parameter estimation; Numerical modelling; North Sea

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APA (6th Edition):

Ponsar, S. (2012). Model state and parameter estimation by assimilation of temperature profiles with an ensemble Kalman filter in North Sea applications. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/114321

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ponsar, Stéphanie. “Model state and parameter estimation by assimilation of temperature profiles with an ensemble Kalman filter in North Sea applications.” 2012. Thesis, Université Catholique de Louvain. Accessed October 01, 2020. http://hdl.handle.net/2078.1/114321.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ponsar, Stéphanie. “Model state and parameter estimation by assimilation of temperature profiles with an ensemble Kalman filter in North Sea applications.” 2012. Web. 01 Oct 2020.

Vancouver:

Ponsar S. Model state and parameter estimation by assimilation of temperature profiles with an ensemble Kalman filter in North Sea applications. [Internet] [Thesis]. Université Catholique de Louvain; 2012. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/2078.1/114321.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ponsar S. Model state and parameter estimation by assimilation of temperature profiles with an ensemble Kalman filter in North Sea applications. [Thesis]. Université Catholique de Louvain; 2012. Available from: http://hdl.handle.net/2078.1/114321

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Manchester

29. Etienam, Clement. Structural and shape reconstruction using inverse problems and machine learning techniques with application to hydrocarbon reservoirs.

Degree: PhD, 2019, University of Manchester

 This thesis introduces novel ideas in subsurface reservoir model calibration known as History Matching in the reservoir engineering community. The target of history matching is… (more)

Subjects/Keywords: 519; Level set; History Matching; Ensemble Kalman Filter; Inverse problem; Machine Learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Etienam, C. (2019). Structural and shape reconstruction using inverse problems and machine learning techniques with application to hydrocarbon reservoirs. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/structural-and-shape-reconstruction-using-inverse-problems-and-machine-learning-techniques-with-application-to-hydrocarbon-reservoirs(c737cbcd-0298-4634-8e1b-df229455c371).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764782

Chicago Manual of Style (16th Edition):

Etienam, Clement. “Structural and shape reconstruction using inverse problems and machine learning techniques with application to hydrocarbon reservoirs.” 2019. Doctoral Dissertation, University of Manchester. Accessed October 01, 2020. https://www.research.manchester.ac.uk/portal/en/theses/structural-and-shape-reconstruction-using-inverse-problems-and-machine-learning-techniques-with-application-to-hydrocarbon-reservoirs(c737cbcd-0298-4634-8e1b-df229455c371).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764782.

MLA Handbook (7th Edition):

Etienam, Clement. “Structural and shape reconstruction using inverse problems and machine learning techniques with application to hydrocarbon reservoirs.” 2019. Web. 01 Oct 2020.

Vancouver:

Etienam C. Structural and shape reconstruction using inverse problems and machine learning techniques with application to hydrocarbon reservoirs. [Internet] [Doctoral dissertation]. University of Manchester; 2019. [cited 2020 Oct 01]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/structural-and-shape-reconstruction-using-inverse-problems-and-machine-learning-techniques-with-application-to-hydrocarbon-reservoirs(c737cbcd-0298-4634-8e1b-df229455c371).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764782.

Council of Science Editors:

Etienam C. Structural and shape reconstruction using inverse problems and machine learning techniques with application to hydrocarbon reservoirs. [Doctoral Dissertation]. University of Manchester; 2019. Available from: https://www.research.manchester.ac.uk/portal/en/theses/structural-and-shape-reconstruction-using-inverse-problems-and-machine-learning-techniques-with-application-to-hydrocarbon-reservoirs(c737cbcd-0298-4634-8e1b-df229455c371).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764782

30. Sandin, Mats. Framework for Calibration of a Traffic State Space Model.

Degree: The Institute of Technology, 2012, Linköping UniversityLinköping University

  To evaluate the traffic state over time and space, several models can be used. A typical model for estimating the state of the traffic… (more)

Subjects/Keywords: traffic; framework; calibration; macro traffic model; ensemble kalman filter; cell transmission model

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sandin, M. (2012). Framework for Calibration of a Traffic State Space Model. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-85342

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sandin, Mats. “Framework for Calibration of a Traffic State Space Model.” 2012. Thesis, Linköping UniversityLinköping University. Accessed October 01, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-85342.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sandin, Mats. “Framework for Calibration of a Traffic State Space Model.” 2012. Web. 01 Oct 2020.

Vancouver:

Sandin M. Framework for Calibration of a Traffic State Space Model. [Internet] [Thesis]. Linköping UniversityLinköping University; 2012. [cited 2020 Oct 01]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-85342.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sandin M. Framework for Calibration of a Traffic State Space Model. [Thesis]. Linköping UniversityLinköping University; 2012. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-85342

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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