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You searched for subject:(Ensemble Kalman filter). Showing records 1 – 30 of 85 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 23, 2019. 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. 23 Oct 2019.

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 2019 Oct 23]. 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


Texas A&M University

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

Degree: 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. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7569

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):

Odi, Uchenna O. “Non-Adjoint Surfactant Flood Optimization of Net Present Value and Incorporation of Optimal Solution Under Geological and Economic Uncertainty.” 2011. Thesis, Texas A&M University. Accessed October 23, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7569.

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

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. 23 Oct 2019.

Vancouver:

Odi UO. Non-Adjoint Surfactant Flood Optimization of Net Present Value and Incorporation of Optimal Solution Under Geological and Economic Uncertainty. [Internet] [Thesis]. Texas A&M University; 2011. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7569.

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

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. [Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7569

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


Texas A&M University

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

Degree: 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. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153268

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):

Roh, Soojin. “Robust Ensemble Kalman Filters and Localization for Multiple State Variables.” 2014. Thesis, Texas A&M University. Accessed October 23, 2019. http://hdl.handle.net/1969.1/153268.

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

MLA Handbook (7th Edition):

Roh, Soojin. “Robust Ensemble Kalman Filters and Localization for Multiple State Variables.” 2014. Web. 23 Oct 2019.

Vancouver:

Roh S. Robust Ensemble Kalman Filters and Localization for Multiple State Variables. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/1969.1/153268.

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

Council of Science Editors:

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

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


Delft University of Technology

4. Szklarz, S.P. History Matching via Ensemble Kalman Filter of Norne Field:.

Degree: 2010, Delft University of Technology

 The very popular method, namely, Ensemble Kalman Filter is used to history match the E-segment of the Norne Field reservoir. A complete history matching workflow… (more)

Subjects/Keywords: Ensemble Kalman Filter; norne; history matching

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APA (6th Edition):

Szklarz, S. P. (2010). History Matching via Ensemble Kalman Filter of Norne Field:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:91eeed81-f3c1-4de6-be14-3975fefdd164

Chicago Manual of Style (16th Edition):

Szklarz, S P. “History Matching via Ensemble Kalman Filter of Norne Field:.” 2010. Masters Thesis, Delft University of Technology. Accessed October 23, 2019. http://resolver.tudelft.nl/uuid:91eeed81-f3c1-4de6-be14-3975fefdd164.

MLA Handbook (7th Edition):

Szklarz, S P. “History Matching via Ensemble Kalman Filter of Norne Field:.” 2010. Web. 23 Oct 2019.

Vancouver:

Szklarz SP. History Matching via Ensemble Kalman Filter of Norne Field:. [Internet] [Masters thesis]. Delft University of Technology; 2010. [cited 2019 Oct 23]. Available from: http://resolver.tudelft.nl/uuid:91eeed81-f3c1-4de6-be14-3975fefdd164.

Council of Science Editors:

Szklarz SP. History Matching via Ensemble Kalman Filter of Norne Field:. [Masters Thesis]. Delft University of Technology; 2010. Available from: http://resolver.tudelft.nl/uuid:91eeed81-f3c1-4de6-be14-3975fefdd164


Texas A&M University

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

Degree: 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. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7412

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. “A Hybrid Ensemble Kalman Filter for Nonlinear Dynamics.” 2011. Thesis, Texas A&M University. Accessed October 23, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7412.

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. “A Hybrid Ensemble Kalman Filter for Nonlinear Dynamics.” 2011. Web. 23 Oct 2019.

Vancouver:

Watanabe S. A Hybrid Ensemble Kalman Filter for Nonlinear Dynamics. [Internet] [Thesis]. Texas A&M University; 2011. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7412.

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

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


Delft University of Technology

6. Tsompanopoulos, E. 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 (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. “Assimilating GRACE Terrestrial Water Storage observations into a hydrological model:.” 2010. Masters Thesis, Delft University of Technology. Accessed October 23, 2019. http://resolver.tudelft.nl/uuid:5c2d31a2-5f13-40fc-9aab-608aaa937180.

MLA Handbook (7th Edition):

Tsompanopoulos, E. “Assimilating GRACE Terrestrial Water Storage observations into a hydrological model:.” 2010. Web. 23 Oct 2019.

Vancouver:

Tsompanopoulos E. Assimilating GRACE Terrestrial Water Storage observations into a hydrological model:. [Internet] [Masters thesis]. Delft University of Technology; 2010. [cited 2019 Oct 23]. 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


Delft University of Technology

7. Widiastuti, E. Data assimilation of GRACE terrestrial water storage data into a hydrological model using the Ensemble Kalman Smoother: A case study of the Rhine river basin:.

Degree: 2009, Delft University of Technology

 Terrestrial water storage (TWS) can be defined as the storage of water on and below the land surface, and includes snow, ice, surface water, soil… (more)

Subjects/Keywords: GRACE; Data Assimilation; Ensemble Kalman Filter; Ensemble Kalman Smoother; Terrestrial Water Storage

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APA (6th Edition):

Widiastuti, E. (2009). Data assimilation of GRACE terrestrial water storage data into a hydrological model using the Ensemble Kalman Smoother: A case study of the Rhine river basin:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:a91d6dc5-bdeb-4ee3-9a34-75a72c89f806

Chicago Manual of Style (16th Edition):

Widiastuti, E. “Data assimilation of GRACE terrestrial water storage data into a hydrological model using the Ensemble Kalman Smoother: A case study of the Rhine river basin:.” 2009. Masters Thesis, Delft University of Technology. Accessed October 23, 2019. http://resolver.tudelft.nl/uuid:a91d6dc5-bdeb-4ee3-9a34-75a72c89f806.

MLA Handbook (7th Edition):

Widiastuti, E. “Data assimilation of GRACE terrestrial water storage data into a hydrological model using the Ensemble Kalman Smoother: A case study of the Rhine river basin:.” 2009. Web. 23 Oct 2019.

Vancouver:

Widiastuti E. Data assimilation of GRACE terrestrial water storage data into a hydrological model using the Ensemble Kalman Smoother: A case study of the Rhine river basin:. [Internet] [Masters thesis]. Delft University of Technology; 2009. [cited 2019 Oct 23]. Available from: http://resolver.tudelft.nl/uuid:a91d6dc5-bdeb-4ee3-9a34-75a72c89f806.

Council of Science Editors:

Widiastuti E. Data assimilation of GRACE terrestrial water storage data into a hydrological model using the Ensemble Kalman Smoother: A case study of the Rhine river basin:. [Masters Thesis]. Delft University of Technology; 2009. Available from: http://resolver.tudelft.nl/uuid:a91d6dc5-bdeb-4ee3-9a34-75a72c89f806


University of Alberta

8. 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 23, 2019. https://era.library.ualberta.ca/files/f4752j276.

MLA Handbook (7th Edition):

Yang, Xiongtan. “Filtering Approaches for Inequality Constrained Parameter Estimation.” 2013. Web. 23 Oct 2019.

Vancouver:

Yang X. Filtering Approaches for Inequality Constrained Parameter Estimation. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2019 Oct 23]. 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

9. 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 23, 2019. 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. 23 Oct 2019.

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 2019 Oct 23]. 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

10. 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 23, 2019. 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. 23 Oct 2019.

Vancouver:

Nino Ruiz ED. Efficient formulation and implementation of ensemble based methods in data assimilation. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2019 Oct 23]. 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

11. 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 23, 2019. 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. 23 Oct 2019.

Vancouver:

Zhang H. Ensemble kalman filter data assimilation in regions of complex terrain. [Internet] [Doctoral dissertation]. University of Utah; 2014. [cited 2019 Oct 23]. 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

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

Degree: 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. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2803

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):

Mukerjee, Rahul. “An investigation of the multi-scale mixed finite element??eamline simulator and it?oupling with the ensemble kalman filter.” 2009. Thesis, Texas A&M University. Accessed October 23, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2803.

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

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. 23 Oct 2019.

Vancouver:

Mukerjee R. An investigation of the multi-scale mixed finite element??eamline simulator and it?oupling with the ensemble kalman filter. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2803.

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

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. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2803

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


Louisiana State University

13. El-Khamra, Yaakoub Youssef. Realtime reservoir characterization and beyond: cyber-infrastructure tools and technologies.

Degree: MSPE, Petroleum Engineering, 2009, Louisiana State University

 The advent of the digital oil _x000C_eld and rapidly decreasing cost of computing creates opportunities as well as challenges in simulation based reservoir studies, in… (more)

Subjects/Keywords: Reservoir Simulation; Ensemble Kalman filter; EnKF; Closed Loop

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APA (6th Edition):

El-Khamra, Y. Y. (2009). Realtime reservoir characterization and beyond: cyber-infrastructure tools and technologies. (Masters Thesis). Louisiana State University. Retrieved from etd-11112009-174803 ; https://digitalcommons.lsu.edu/gradschool_theses/1413

Chicago Manual of Style (16th Edition):

El-Khamra, Yaakoub Youssef. “Realtime reservoir characterization and beyond: cyber-infrastructure tools and technologies.” 2009. Masters Thesis, Louisiana State University. Accessed October 23, 2019. etd-11112009-174803 ; https://digitalcommons.lsu.edu/gradschool_theses/1413.

MLA Handbook (7th Edition):

El-Khamra, Yaakoub Youssef. “Realtime reservoir characterization and beyond: cyber-infrastructure tools and technologies.” 2009. Web. 23 Oct 2019.

Vancouver:

El-Khamra YY. Realtime reservoir characterization and beyond: cyber-infrastructure tools and technologies. [Internet] [Masters thesis]. Louisiana State University; 2009. [cited 2019 Oct 23]. Available from: etd-11112009-174803 ; https://digitalcommons.lsu.edu/gradschool_theses/1413.

Council of Science Editors:

El-Khamra YY. Realtime reservoir characterization and beyond: cyber-infrastructure tools and technologies. [Masters Thesis]. Louisiana State University; 2009. Available from: etd-11112009-174803 ; https://digitalcommons.lsu.edu/gradschool_theses/1413


University of Southern California

14. 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 (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/3975

Chicago Manual of Style (16th Edition):

Tan, Minzhao. “Mathematical properties of ensemble Kalman filter.” 2011. Doctoral Dissertation, University of Southern California. Accessed October 23, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/428388/rec/3975.

MLA Handbook (7th Edition):

Tan, Minzhao. “Mathematical properties of ensemble Kalman filter.” 2011. Web. 23 Oct 2019.

Vancouver:

Tan M. Mathematical properties of ensemble Kalman filter. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 Oct 23]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/428388/rec/3975.

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/3975


University of California – San Diego

15. 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 23, 2019. 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. 23 Oct 2019.

Vancouver:

Wong M. Ensemble-Based Adaptive Observation. [Internet] [Thesis]. University of California – San Diego; 2018. [cited 2019 Oct 23]. 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


Delft University of Technology

16. De Koning, D. 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. “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 23, 2019. http://resolver.tudelft.nl/uuid:392abee2-abb3-4402-80a2-c1939d1e5a66.

MLA Handbook (7th Edition):

De Koning, D. “Assimilation of soil moisture data with the ensemble Kalman filter for the intermediate scale soil moisture predictions in the Netherlands:.” 2015. Web. 23 Oct 2019.

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 2019 Oct 23]. 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 Manchester

17. 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 23, 2019. 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. 23 Oct 2019.

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 2019 Oct 23]. 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


Colorado State University

18. Criswell, David Todd. Assessing irrigation-influenced groundwater flow and transport pathways along a reach of the Arkansas River in Colorado.

Degree: MS(M.S.), Civil and Environmental Engineering, 2017, Colorado State University

 Recent studies have concluded that stream reaches are not simply gaining or losing to groundwater but are best described as a mosaic of exchanges that… (more)

Subjects/Keywords: flow paths; MODFLOW; riparian; groundwater; Ensemble Kalman Filter; reach-scale

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APA (6th Edition):

Criswell, D. T. (2017). Assessing irrigation-influenced groundwater flow and transport pathways along a reach of the Arkansas River in Colorado. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/178891

Chicago Manual of Style (16th Edition):

Criswell, David Todd. “Assessing irrigation-influenced groundwater flow and transport pathways along a reach of the Arkansas River in Colorado.” 2017. Masters Thesis, Colorado State University. Accessed October 23, 2019. http://hdl.handle.net/10217/178891.

MLA Handbook (7th Edition):

Criswell, David Todd. “Assessing irrigation-influenced groundwater flow and transport pathways along a reach of the Arkansas River in Colorado.” 2017. Web. 23 Oct 2019.

Vancouver:

Criswell DT. Assessing irrigation-influenced groundwater flow and transport pathways along a reach of the Arkansas River in Colorado. [Internet] [Masters thesis]. Colorado State University; 2017. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10217/178891.

Council of Science Editors:

Criswell DT. Assessing irrigation-influenced groundwater flow and transport pathways along a reach of the Arkansas River in Colorado. [Masters Thesis]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/178891


University of Oxford

19. 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 (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 23, 2019. 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. 23 Oct 2019.

Vancouver:

Lian D. Bayesian methods for inverse problems. [Internet] [Doctoral dissertation]. University of Oxford; 2013. [cited 2019 Oct 23]. 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


Texas A&M University

20. Rigney, Matthew C. Ensemble Statistics and Error Covariance of a Rapidly Intensifying Hurricane.

Degree: 2010, Texas A&M University

 This thesis presents an investigation of ensemble Gaussianity, the effect of non- Gaussianity on covariance structures, storm-centered data assimilation techniques, and the relationship between commonly… (more)

Subjects/Keywords: hurricane; numerical weather prediction; data assimilation; error covariance; Ensemble Kalman Filter; EnKF; storm-centered assimilation

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APA (6th Edition):

Rigney, M. C. (2010). Ensemble Statistics and Error Covariance of a Rapidly Intensifying Hurricane. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-724

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):

Rigney, Matthew C. “Ensemble Statistics and Error Covariance of a Rapidly Intensifying Hurricane.” 2010. Thesis, Texas A&M University. Accessed October 23, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-724.

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

MLA Handbook (7th Edition):

Rigney, Matthew C. “Ensemble Statistics and Error Covariance of a Rapidly Intensifying Hurricane.” 2010. Web. 23 Oct 2019.

Vancouver:

Rigney MC. Ensemble Statistics and Error Covariance of a Rapidly Intensifying Hurricane. [Internet] [Thesis]. Texas A&M University; 2010. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-724.

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

Council of Science Editors:

Rigney MC. Ensemble Statistics and Error Covariance of a Rapidly Intensifying Hurricane. [Thesis]. Texas A&M University; 2010. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-724

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


Texas A&M University

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

Degree: 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 (6th Edition):

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

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 A&M University. Accessed October 23, 2019. http://hdl.handle.net/1969.1/151664.

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. 23 Oct 2019.

Vancouver:

Watanabe S. Stochastic and Deterministic Inversion Methods for History Matching of Production and Time-Lapse Seismic Data. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/1969.1/151664.

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 A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151664

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


Texas A&M University

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

Degree: 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. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/152793

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):

De, Debkumar. “Essays on Bayesian Time Series and Variable Selection.” 2014. Thesis, Texas A&M University. Accessed October 23, 2019. http://hdl.handle.net/1969.1/152793.

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

MLA Handbook (7th Edition):

De, Debkumar. “Essays on Bayesian Time Series and Variable Selection.” 2014. Web. 23 Oct 2019.

Vancouver:

De D. Essays on Bayesian Time Series and Variable Selection. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/1969.1/152793.

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

Council of Science Editors:

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

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


Université Catholique de Louvain

23. 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 23, 2019. 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. 23 Oct 2019.

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 2019 Oct 23]. 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


King Abdullah University of Science and Technology

24. 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 23, 2019. 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. 23 Oct 2019.

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 2019 Oct 23]. 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

25. 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 (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 23, 2019. 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. 23 Oct 2019.

Vancouver:

Sandin M. Framework for Calibration of a Traffic State Space Model. [Internet] [Thesis]. Linköping UniversityLinköping University; 2012. [cited 2019 Oct 23]. 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


Delft University of Technology

26. Scholten, F.J.M. Short-term traffic prediction in road traffic control centres: Efficient traffic state estimation based on a localized deterministic Ensemble Kalman Filter:.

Degree: 2015, Delft University of Technology

 Traffic state estimations and predictions are essential parts for dynamic traffic management applications. This thesis consists of two parts: firstly the requirements for application of… (more)

Subjects/Keywords: traffic state estimation; Ensemble Kalman Filter; dynamic traffic management; traffic state prediction

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APA (6th Edition):

Scholten, F. J. M. (2015). Short-term traffic prediction in road traffic control centres: Efficient traffic state estimation based on a localized deterministic Ensemble Kalman Filter:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:712484dd-5965-431a-9279-92b2635f4969

Chicago Manual of Style (16th Edition):

Scholten, F J M. “Short-term traffic prediction in road traffic control centres: Efficient traffic state estimation based on a localized deterministic Ensemble Kalman Filter:.” 2015. Masters Thesis, Delft University of Technology. Accessed October 23, 2019. http://resolver.tudelft.nl/uuid:712484dd-5965-431a-9279-92b2635f4969.

MLA Handbook (7th Edition):

Scholten, F J M. “Short-term traffic prediction in road traffic control centres: Efficient traffic state estimation based on a localized deterministic Ensemble Kalman Filter:.” 2015. Web. 23 Oct 2019.

Vancouver:

Scholten FJM. Short-term traffic prediction in road traffic control centres: Efficient traffic state estimation based on a localized deterministic Ensemble Kalman Filter:. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2019 Oct 23]. Available from: http://resolver.tudelft.nl/uuid:712484dd-5965-431a-9279-92b2635f4969.

Council of Science Editors:

Scholten FJM. Short-term traffic prediction in road traffic control centres: Efficient traffic state estimation based on a localized deterministic Ensemble Kalman Filter:. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:712484dd-5965-431a-9279-92b2635f4969


Delft University of Technology

27. Zilko, A.A. Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise:.

Degree: 2012, Delft University of Technology

 Lately, the objective of reservoir engineering is to optimize hydrocarbon recovery from a reservoir. To achieve that goal, a good knowledge of the subsurface properties… (more)

Subjects/Keywords: Ensemble Kalman Filter; Non-Parametric Bayesian Networks; Parameter Estimation; Reservoir Engineering; Reservoir Simulation; Bayesian Networks

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APA (6th Edition):

Zilko, A. A. (2012). Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:97469901-4724-4c0b-851e-0eefb100adc8

Chicago Manual of Style (16th Edition):

Zilko, A A. “Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise:.” 2012. Masters Thesis, Delft University of Technology. Accessed October 23, 2019. http://resolver.tudelft.nl/uuid:97469901-4724-4c0b-851e-0eefb100adc8.

MLA Handbook (7th Edition):

Zilko, A A. “Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise:.” 2012. Web. 23 Oct 2019.

Vancouver:

Zilko AA. Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise:. [Internet] [Masters thesis]. Delft University of Technology; 2012. [cited 2019 Oct 23]. Available from: http://resolver.tudelft.nl/uuid:97469901-4724-4c0b-851e-0eefb100adc8.

Council of Science Editors:

Zilko AA. Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise:. [Masters Thesis]. Delft University of Technology; 2012. Available from: http://resolver.tudelft.nl/uuid:97469901-4724-4c0b-851e-0eefb100adc8


George Mason University

28. Hamilton, Franz William. Reconstructing Neuronal Network Dynamics Using Data Assimilation .

Degree: 2015, George Mason University

 Understanding the dynamics of the in vivo brain under normal and diseased states is one of the great challenges of modern scientific study. The overall… (more)

Subjects/Keywords: Mathematics; Neurosciences; Electrical engineering; data assimilation; ensemble Kalman filter; microelectrode array; neuronal networks

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

APA (6th Edition):

Hamilton, F. W. (2015). Reconstructing Neuronal Network Dynamics Using Data Assimilation . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/9699

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):

Hamilton, Franz William. “Reconstructing Neuronal Network Dynamics Using Data Assimilation .” 2015. Thesis, George Mason University. Accessed October 23, 2019. http://hdl.handle.net/1920/9699.

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

MLA Handbook (7th Edition):

Hamilton, Franz William. “Reconstructing Neuronal Network Dynamics Using Data Assimilation .” 2015. Web. 23 Oct 2019.

Vancouver:

Hamilton FW. Reconstructing Neuronal Network Dynamics Using Data Assimilation . [Internet] [Thesis]. George Mason University; 2015. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/1920/9699.

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

Council of Science Editors:

Hamilton FW. Reconstructing Neuronal Network Dynamics Using Data Assimilation . [Thesis]. George Mason University; 2015. Available from: http://hdl.handle.net/1920/9699

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


University of Waterloo

29. Carquex, Côme. State Estimation in Power Distribution Systems.

Degree: 2017, University of Waterloo

 State estimation in power distribution systems is a key component for increased reliability and optimal system performance. Well understood in transmission systems, state estimation is… (more)

Subjects/Keywords: Distribution system; Distribution system state estimation; Ensemble Kalman filter; Phasor measurement unit; State Estimation

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

APA (6th Edition):

Carquex, C. (2017). State Estimation in Power Distribution Systems. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/12747

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):

Carquex, Côme. “State Estimation in Power Distribution Systems.” 2017. Thesis, University of Waterloo. Accessed October 23, 2019. http://hdl.handle.net/10012/12747.

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

MLA Handbook (7th Edition):

Carquex, Côme. “State Estimation in Power Distribution Systems.” 2017. Web. 23 Oct 2019.

Vancouver:

Carquex C. State Estimation in Power Distribution Systems. [Internet] [Thesis]. University of Waterloo; 2017. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10012/12747.

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

Council of Science Editors:

Carquex C. State Estimation in Power Distribution Systems. [Thesis]. University of Waterloo; 2017. Available from: http://hdl.handle.net/10012/12747

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


Penn State University

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

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://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 23, 2019. https://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. 23 Oct 2019.

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 2019 Oct 23]. Available from: https://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://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

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