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You searched for +publisher:"University of Southern California" +contributor:("Ershaghi, Iraj"). Showing records 1 – 30 of 35 total matches.

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University of Southern California

1. Ghods, Parham. Data assimilation for fractured shale gas reservoirs using ensemble Kalman filter.

Degree: PhD, Petroleum Engineering, 2012, University of Southern California

 Production of shale gas reservoirs depends on natural and hydraulic fractures, which represent a significant challenge in numerical simulation. Unknown fracture characteristics such as location,… (more)

Subjects/Keywords: dual porosity dual permeability; ensemble Kalman filter; fracture modeling; numerical simulation; shale gas reservoirs; tight gas reservoirs

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APA (6th Edition):

Ghods, P. (2012). Data assimilation for fractured shale gas reservoirs using ensemble Kalman filter. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/200831/rec/1761

Chicago Manual of Style (16th Edition):

Ghods, Parham. “Data assimilation for fractured shale gas reservoirs using ensemble Kalman filter.” 2012. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/200831/rec/1761.

MLA Handbook (7th Edition):

Ghods, Parham. “Data assimilation for fractured shale gas reservoirs using ensemble Kalman filter.” 2012. Web. 16 Jun 2019.

Vancouver:

Ghods P. Data assimilation for fractured shale gas reservoirs using ensemble Kalman filter. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/200831/rec/1761.

Council of Science Editors:

Ghods P. Data assimilation for fractured shale gas reservoirs using ensemble Kalman filter. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/200831/rec/1761


University of Southern California

2. Rastegar Moghadam Moadab, Reza. A study of dispersive mixing and flow based lumping/delumping in gas injection processes.

Degree: PhD, Petroleum Engineering, 2010, University of Southern California

 Injection of CO2 into an oil or gas reservoir is an approach to improve the recovery of hydrocarbons by multi-contact miscible displacement processes. In order… (more)

Subjects/Keywords: dispersive; mixing; flow based; flowbased; lumping; delumping; pseudocomponent; gas; oil; injection; dispersion; diffusion; condensing; vaporizing; UNIQUAC; viscosity; IFT; mixture; relative permeability; miscible displacement; CO2; reservoir; EOR; compositional simulation; hydrocarbon; modeling; analog solvents; experimental; isooctane; isopropanol; methanol; water; PTFE; dispersivity; capillary; saturation; sweep; phase; component; effluent; sequestration; multicontant; carbon

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APA (6th Edition):

Rastegar Moghadam Moadab, R. (2010). A study of dispersive mixing and flow based lumping/delumping in gas injection processes. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/317647/rec/390

Chicago Manual of Style (16th Edition):

Rastegar Moghadam Moadab, Reza. “A study of dispersive mixing and flow based lumping/delumping in gas injection processes.” 2010. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/317647/rec/390.

MLA Handbook (7th Edition):

Rastegar Moghadam Moadab, Reza. “A study of dispersive mixing and flow based lumping/delumping in gas injection processes.” 2010. Web. 16 Jun 2019.

Vancouver:

Rastegar Moghadam Moadab R. A study of dispersive mixing and flow based lumping/delumping in gas injection processes. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/317647/rec/390.

Council of Science Editors:

Rastegar Moghadam Moadab R. A study of dispersive mixing and flow based lumping/delumping in gas injection processes. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/317647/rec/390


University of Southern California

3. Ayatollahy Tafti, Tayeb. Integrated workflow for characterizing and modeling fracture network in unconventional reservoirs using microseismic data.

Degree: PhD, Petroleum Engineering, 2013, University of Southern California

 We develop a new method for integrating information and data from different sources. We also construct a comprehensive workflow for characterizing and modeling a fracture… (more)

Subjects/Keywords: fracture; shale reservoirs; unconventional reservoirs; fractal; fuzzy logic; microseismic data; geothermal; modeling; discrete fracture network; b-value; tomographic inversion; seismic velocity; reservoir characterization; reservoir simulation

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APA (6th Edition):

Ayatollahy Tafti, T. (2013). Integrated workflow for characterizing and modeling fracture network in unconventional reservoirs using microseismic data. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/322486/rec/3530

Chicago Manual of Style (16th Edition):

Ayatollahy Tafti, Tayeb. “Integrated workflow for characterizing and modeling fracture network in unconventional reservoirs using microseismic data.” 2013. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/322486/rec/3530.

MLA Handbook (7th Edition):

Ayatollahy Tafti, Tayeb. “Integrated workflow for characterizing and modeling fracture network in unconventional reservoirs using microseismic data.” 2013. Web. 16 Jun 2019.

Vancouver:

Ayatollahy Tafti T. Integrated workflow for characterizing and modeling fracture network in unconventional reservoirs using microseismic data. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/322486/rec/3530.

Council of Science Editors:

Ayatollahy Tafti T. Integrated workflow for characterizing and modeling fracture network in unconventional reservoirs using microseismic data. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/322486/rec/3530


University of Southern California

4. Nattwongasem, Dalad. Residual trapping of CO₂ in aquifers during counter-current flow.

Degree: PhD, Petroleum Engineering, 2011, University of Southern California

 Increasing concentrations of carbon dioxide (CO₂) in the earth’s atmosphere has initiated a wide range of efforts to mitigate emissions and to capture and sequester… (more)

Subjects/Keywords: carbon sequestration; residual trapping; resistivity measurements; segregation experiment; time scale

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APA (6th Edition):

Nattwongasem, D. (2011). Residual trapping of CO₂ in aquifers during counter-current flow. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/626773/rec/5546

Chicago Manual of Style (16th Edition):

Nattwongasem, Dalad. “Residual trapping of CO₂ in aquifers during counter-current flow.” 2011. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/626773/rec/5546.

MLA Handbook (7th Edition):

Nattwongasem, Dalad. “Residual trapping of CO₂ in aquifers during counter-current flow.” 2011. Web. 16 Jun 2019.

Vancouver:

Nattwongasem D. Residual trapping of CO₂ in aquifers during counter-current flow. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/626773/rec/5546.

Council of Science Editors:

Nattwongasem D. Residual trapping of CO₂ in aquifers during counter-current flow. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/626773/rec/5546


University of Southern California

5. Evazi Yadecuri, Mohammad. Coarse-scale simulation of heterogeneous reservoirs and multi-fractured horizontal wells.

Degree: PhD, Petroleum Engineering, 2013, University of Southern California

 Oil and gas reservoirs in fluvial and deltaic depositional systems comprise a significant portion of the so-called conventional resources. In these systems, the inherent reservoir… (more)

Subjects/Keywords: simulation; heterogeneous reservoir; dual-porosity upscaling; horizontal wells; hydraulic fracturing

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APA (6th Edition):

Evazi Yadecuri, M. (2013). Coarse-scale simulation of heterogeneous reservoirs and multi-fractured horizontal wells. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/351527/rec/1415

Chicago Manual of Style (16th Edition):

Evazi Yadecuri, Mohammad. “Coarse-scale simulation of heterogeneous reservoirs and multi-fractured horizontal wells.” 2013. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/351527/rec/1415.

MLA Handbook (7th Edition):

Evazi Yadecuri, Mohammad. “Coarse-scale simulation of heterogeneous reservoirs and multi-fractured horizontal wells.” 2013. Web. 16 Jun 2019.

Vancouver:

Evazi Yadecuri M. Coarse-scale simulation of heterogeneous reservoirs and multi-fractured horizontal wells. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/351527/rec/1415.

Council of Science Editors:

Evazi Yadecuri M. Coarse-scale simulation of heterogeneous reservoirs and multi-fractured horizontal wells. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/351527/rec/1415


University of Southern California

6. Tajer, Seyed Ehsan. The effects of gravity and thermal gradient on the drying processes in porous media.

Degree: PhD, Petroleum Engineering, 2011, University of Southern California

 This dissertation focuses on analyzing the compound effects of capillarity and gravity driven viscous flow through macroscopic liquid films during both isothermal and non-isothermal drying… (more)

Subjects/Keywords: drying; evaporation; invasion percolation; gravity effect; thermal effect; porous media

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APA (6th Edition):

Tajer, S. E. (2011). The effects of gravity and thermal gradient on the drying processes in porous media. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/445001/rec/6649

Chicago Manual of Style (16th Edition):

Tajer, Seyed Ehsan. “The effects of gravity and thermal gradient on the drying processes in porous media.” 2011. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/445001/rec/6649.

MLA Handbook (7th Edition):

Tajer, Seyed Ehsan. “The effects of gravity and thermal gradient on the drying processes in porous media.” 2011. Web. 16 Jun 2019.

Vancouver:

Tajer SE. The effects of gravity and thermal gradient on the drying processes in porous media. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/445001/rec/6649.

Council of Science Editors:

Tajer SE. The effects of gravity and thermal gradient on the drying processes in porous media. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/445001/rec/6649


University of Southern California

7. Korjani, Mohammad Mehdi. Intelligent knowledge acquisition systems: from descriptive to predictive models.

Degree: PhD, Electrical Engineering, 2015, University of Southern California

 Linguistic summarization is a data mining or knowledge discovery approach that describes a pattern in a database. Using techniques to generate linguistic summaries not only… (more)

Subjects/Keywords: breakdown of democracy; causal condition; causal combination; data mining; footprint of uncertainty; fuzzy set qualitative comparative analysis; fsQCA; fuzzy sets; interval type‐2 fuzzy sets; interval‐valued fsQCA; level 2 fuzzy sets; linguistic summarization; nonlinear regression; prediction; regression; type‐1 fuzzy sets; type‐1 fsQCA

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APA (6th Edition):

Korjani, M. M. (2015). Intelligent knowledge acquisition systems: from descriptive to predictive models. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/603949/rec/3556

Chicago Manual of Style (16th Edition):

Korjani, Mohammad Mehdi. “Intelligent knowledge acquisition systems: from descriptive to predictive models.” 2015. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/603949/rec/3556.

MLA Handbook (7th Edition):

Korjani, Mohammad Mehdi. “Intelligent knowledge acquisition systems: from descriptive to predictive models.” 2015. Web. 16 Jun 2019.

Vancouver:

Korjani MM. Intelligent knowledge acquisition systems: from descriptive to predictive models. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/603949/rec/3556.

Council of Science Editors:

Korjani MM. Intelligent knowledge acquisition systems: from descriptive to predictive models. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/603949/rec/3556


University of Southern California

8. Liu, Yintao. Failure prediction for rod pump artificial lift systems.

Degree: PhD, Computer Science, 2013, University of Southern California

 Failure prediction, a subset of anomaly detection which aims at the precursory events that potentially triggers failures, is of great value in maintaining reliable complex… (more)

Subjects/Keywords: data mining; failure prediction; machine learning; multitask learning; predictive analytics; rod pump

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APA (6th Edition):

Liu, Y. (2013). Failure prediction for rod pump artificial lift systems. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/323256/rec/2747

Chicago Manual of Style (16th Edition):

Liu, Yintao. “Failure prediction for rod pump artificial lift systems.” 2013. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/323256/rec/2747.

MLA Handbook (7th Edition):

Liu, Yintao. “Failure prediction for rod pump artificial lift systems.” 2013. Web. 16 Jun 2019.

Vancouver:

Liu Y. Failure prediction for rod pump artificial lift systems. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/323256/rec/2747.

Council of Science Editors:

Liu Y. Failure prediction for rod pump artificial lift systems. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/323256/rec/2747


University of Southern California

9. Zhai, Daoyuan. Advanced learning systems for highly uncertain environments.

Degree: PhD, Electrical Engineering, 2012, University of Southern California

 Data quality, which broadly refers to both data frequency and accuracy, has been the key factor that determines the performances of most of today's machine… (more)

Subjects/Keywords: extended kalman filter; extended kalman smoother; quantum-behaved particle swarm algorithm; type-2 fuzzy logic sets and systems

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APA (6th Edition):

Zhai, D. (2012). Advanced learning systems for highly uncertain environments. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/205925/rec/544

Chicago Manual of Style (16th Edition):

Zhai, Daoyuan. “Advanced learning systems for highly uncertain environments.” 2012. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/205925/rec/544.

MLA Handbook (7th Edition):

Zhai, Daoyuan. “Advanced learning systems for highly uncertain environments.” 2012. Web. 16 Jun 2019.

Vancouver:

Zhai D. Advanced learning systems for highly uncertain environments. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/205925/rec/544.

Council of Science Editors:

Zhai D. Advanced learning systems for highly uncertain environments. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/205925/rec/544


University of Southern California

10. Maity, Debotyam. Integrated reservoir characterization for unconventional reservoirs using seismic, microseismic and well log data.

Degree: PhD, Petroleum Engineering, 2013, University of Southern California

 This study is aimed at an improved understanding of unconventional reservoirs which include tight reservoirs (such as shale oil and gas plays), geothermal developments, etc.… (more)

Subjects/Keywords: characterization; microseismic; seismic; fractures; unconventional; geothermal; shale; neural networks

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

APA (6th Edition):

Maity, D. (2013). Integrated reservoir characterization for unconventional reservoirs using seismic, microseismic and well log data. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/294857/rec/3527

Chicago Manual of Style (16th Edition):

Maity, Debotyam. “Integrated reservoir characterization for unconventional reservoirs using seismic, microseismic and well log data.” 2013. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/294857/rec/3527.

MLA Handbook (7th Edition):

Maity, Debotyam. “Integrated reservoir characterization for unconventional reservoirs using seismic, microseismic and well log data.” 2013. Web. 16 Jun 2019.

Vancouver:

Maity D. Integrated reservoir characterization for unconventional reservoirs using seismic, microseismic and well log data. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/294857/rec/3527.

Council of Science Editors:

Maity D. Integrated reservoir characterization for unconventional reservoirs using seismic, microseismic and well log data. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/294857/rec/3527


University of Southern California

11. Wu, Dongrui. Intelligent systems for decision support.

Degree: PhD, Electrical Engineering, 2009, University of Southern California

 This research is focused on multi-criteria decision-making (MCDM) under uncertainties, especially linguistic uncertainties. This problem is very important because many times linguistic information, in addition… (more)

Subjects/Keywords: intelligent systems; multi-criteria decision-making; fuzzy logic; information fusion; linguistic uncertainty

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APA (6th Edition):

Wu, D. (2009). Intelligent systems for decision support. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/231254/rec/3559

Chicago Manual of Style (16th Edition):

Wu, Dongrui. “Intelligent systems for decision support.” 2009. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/231254/rec/3559.

MLA Handbook (7th Edition):

Wu, Dongrui. “Intelligent systems for decision support.” 2009. Web. 16 Jun 2019.

Vancouver:

Wu D. Intelligent systems for decision support. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/231254/rec/3559.

Council of Science Editors:

Wu D. Intelligent systems for decision support. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/231254/rec/3559


University of Southern California

12. Rajati, Mohammad Reza. Advances in linguistic data-oriented uncertainty modeling, reasoning, and intelligent decision making.

Degree: PhD, Electrical Engineering, 2015, University of Southern California

 In this dissertation, we focus on data oriented uncertainty modeling, reasoning, and inference, and their applications to intelligent systems that implement the paradigm of Computing… (more)

Subjects/Keywords: fuzzy logic; fuzzy systems; computing with words; extension principle; linguistic probability; novel weighted averages; intelligent systems; decision making; reasoning; belief structures; enhanced oil recovery; data oriented

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APA (6th Edition):

Rajati, M. R. (2015). Advances in linguistic data-oriented uncertainty modeling, reasoning, and intelligent decision making. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/568987/rec/554

Chicago Manual of Style (16th Edition):

Rajati, Mohammad Reza. “Advances in linguistic data-oriented uncertainty modeling, reasoning, and intelligent decision making.” 2015. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/568987/rec/554.

MLA Handbook (7th Edition):

Rajati, Mohammad Reza. “Advances in linguistic data-oriented uncertainty modeling, reasoning, and intelligent decision making.” 2015. Web. 16 Jun 2019.

Vancouver:

Rajati MR. Advances in linguistic data-oriented uncertainty modeling, reasoning, and intelligent decision making. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/568987/rec/554.

Council of Science Editors:

Rajati MR. Advances in linguistic data-oriented uncertainty modeling, reasoning, and intelligent decision making. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/568987/rec/554


University of Southern California

13. Li, Heng. Accurate and efficient uncertainty quantification of subsurface fluid flow via the probabilistic collocation method.

Degree: PhD, Petroleum Engineering, 2010, University of Southern California

 Uncertainty quantification of subsurface flow has recently attracted a significant amount of attention. The uncertainty can result from the combination of the formation heterogeneity and… (more)

Subjects/Keywords: uncertainty quantification; random field; porous media; probabilistic collocation method

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APA (6th Edition):

Li, H. (2010). Accurate and efficient uncertainty quantification of subsurface fluid flow via the probabilistic collocation method. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/418996/rec/483

Chicago Manual of Style (16th Edition):

Li, Heng. “Accurate and efficient uncertainty quantification of subsurface fluid flow via the probabilistic collocation method.” 2010. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/418996/rec/483.

MLA Handbook (7th Edition):

Li, Heng. “Accurate and efficient uncertainty quantification of subsurface fluid flow via the probabilistic collocation method.” 2010. Web. 16 Jun 2019.

Vancouver:

Li H. Accurate and efficient uncertainty quantification of subsurface fluid flow via the probabilistic collocation method. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/418996/rec/483.

Council of Science Editors:

Li H. Accurate and efficient uncertainty quantification of subsurface fluid flow via the probabilistic collocation method. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/418996/rec/483


University of Southern California

14. Zheng, Yingying. Data-driven performance and fault monitoring for oil production operations.

Degree: PhD, Chemical Engineering, 2012, University of Southern California

 The business objectives of a smart oilfield include: enhancing oil production, monitoring plant operations, improving product quality and ensuring worker and environmental safety. One of… (more)

Subjects/Keywords: data-driven; performance monitoring; fault monitoring; data reconstruction; oil production

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APA (6th Edition):

Zheng, Y. (2012). Data-driven performance and fault monitoring for oil production operations. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/107964/rec/1774

Chicago Manual of Style (16th Edition):

Zheng, Yingying. “Data-driven performance and fault monitoring for oil production operations.” 2012. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/107964/rec/1774.

MLA Handbook (7th Edition):

Zheng, Yingying. “Data-driven performance and fault monitoring for oil production operations.” 2012. Web. 16 Jun 2019.

Vancouver:

Zheng Y. Data-driven performance and fault monitoring for oil production operations. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/107964/rec/1774.

Council of Science Editors:

Zheng Y. Data-driven performance and fault monitoring for oil production operations. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/107964/rec/1774


University of Southern California

15. Jahangiri, Hamid Reza. Optimization of coupled CO₂ sequestration and enhanced oil recovery.

Degree: PhD, Petroleum Engineering, 2012, University of Southern California

 Sequestration of carbon dioxide (CO₂) in depleted or partially depleted oil reservoirs is a plausible option to reduce CO₂ emissions into the atmosphere. Carbon dioxide… (more)

Subjects/Keywords: CO₂ sequestration; enhanced oil recovery; co-optimization; net present value; ensemble based optimization

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APA (6th Edition):

Jahangiri, H. R. (2012). Optimization of coupled CO₂ sequestration and enhanced oil recovery. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/13500/rec/4605

Chicago Manual of Style (16th Edition):

Jahangiri, Hamid Reza. “Optimization of coupled CO₂ sequestration and enhanced oil recovery.” 2012. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/13500/rec/4605.

MLA Handbook (7th Edition):

Jahangiri, Hamid Reza. “Optimization of coupled CO₂ sequestration and enhanced oil recovery.” 2012. Web. 16 Jun 2019.

Vancouver:

Jahangiri HR. Optimization of coupled CO₂ sequestration and enhanced oil recovery. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/13500/rec/4605.

Council of Science Editors:

Jahangiri HR. Optimization of coupled CO₂ sequestration and enhanced oil recovery. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/13500/rec/4605


University of Southern California

16. Jafroodi, Nelia. Real-time reservoir characterization and optimization during immiscible displacement processes.

Degree: PhD, Petroleum Engineering (Smart Oilfield Technologies), 2009, University of Southern California

 Optimizing oil recovery subject to operational constraints requires accurate reservoir models with high predictive capabilities. Specifically, during the immiscible injection processes such as water flooding… (more)

Subjects/Keywords: petroleum engineering; history matching; reservoir characterization; ensemble Kalman filter; capacitance resistive modeling

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APA (6th Edition):

Jafroodi, N. (2009). Real-time reservoir characterization and optimization during immiscible displacement processes. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/273804/rec/5422

Chicago Manual of Style (16th Edition):

Jafroodi, Nelia. “Real-time reservoir characterization and optimization during immiscible displacement processes.” 2009. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/273804/rec/5422.

MLA Handbook (7th Edition):

Jafroodi, Nelia. “Real-time reservoir characterization and optimization during immiscible displacement processes.” 2009. Web. 16 Jun 2019.

Vancouver:

Jafroodi N. Real-time reservoir characterization and optimization during immiscible displacement processes. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/273804/rec/5422.

Council of Science Editors:

Jafroodi N. Real-time reservoir characterization and optimization during immiscible displacement processes. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/273804/rec/5422


University of Southern California

17. Haroun, Muhammad. Feasibility of in-situ removal of heavy metals by electroremediation of offshore muds.

Degree: PhD, Environmental Engineering, 2009, University of Southern California

 The present experimental work is directed towards investigation of the electokinetically-enhanced transport of soil contaminants (specifically heavy metals) in clay media and offshore muds.; The… (more)

Subjects/Keywords: electroremediation; offshore; offshore muds; electrokientics; heavy metals; decontamination; Abu Dhabi; in-situ; in-situ decontamination; in-situ electroremediation

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APA (6th Edition):

Haroun, M. (2009). Feasibility of in-situ removal of heavy metals by electroremediation of offshore muds. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/265684/rec/2783

Chicago Manual of Style (16th Edition):

Haroun, Muhammad. “Feasibility of in-situ removal of heavy metals by electroremediation of offshore muds.” 2009. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/265684/rec/2783.

MLA Handbook (7th Edition):

Haroun, Muhammad. “Feasibility of in-situ removal of heavy metals by electroremediation of offshore muds.” 2009. Web. 16 Jun 2019.

Vancouver:

Haroun M. Feasibility of in-situ removal of heavy metals by electroremediation of offshore muds. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/265684/rec/2783.

Council of Science Editors:

Haroun M. Feasibility of in-situ removal of heavy metals by electroremediation of offshore muds. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/265684/rec/2783


University of Southern California

18. Lee, Kun-Han. Investigating statistical modeling approaches for reservoir characterization in waterfloods from rates fluctuations.

Degree: PhD, Electrical Engineering, 2010, University of Southern California

 Reservoir characterization is important for reservoir management and performance optimization. For waterflood optimization, traditionally several techniques have been suggested, most of which are either too… (more)

Subjects/Keywords: statistical modeling; preditive model; waterflood; interwell connectivity

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APA (6th Edition):

Lee, K. (2010). Investigating statistical modeling approaches for reservoir characterization in waterfloods from rates fluctuations. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/417046/rec/3622

Chicago Manual of Style (16th Edition):

Lee, Kun-Han. “Investigating statistical modeling approaches for reservoir characterization in waterfloods from rates fluctuations.” 2010. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/417046/rec/3622.

MLA Handbook (7th Edition):

Lee, Kun-Han. “Investigating statistical modeling approaches for reservoir characterization in waterfloods from rates fluctuations.” 2010. Web. 16 Jun 2019.

Vancouver:

Lee K. Investigating statistical modeling approaches for reservoir characterization in waterfloods from rates fluctuations. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/417046/rec/3622.

Council of Science Editors:

Lee K. Investigating statistical modeling approaches for reservoir characterization in waterfloods from rates fluctuations. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/417046/rec/3622


University of Southern California

19. Shojaei, Hasan. Mass transfer during enhanced hydrocarbon recovery by gas injection processes.

Degree: PhD, Petroleum Engineering, 2014, University of Southern California

 In order to estimate the potential incremental hydrocarbon recovery by gas injection, compositional reservoir simulators are commonly used in the industry. Successful design and implementation… (more)

Subjects/Keywords: enhanced oil recovery; CO₂ injection; fractured reservoirs; reservoir simulation; molecular diffusion; dispersion

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APA (6th Edition):

Shojaei, H. (2014). Mass transfer during enhanced hydrocarbon recovery by gas injection processes. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/446031/rec/3967

Chicago Manual of Style (16th Edition):

Shojaei, Hasan. “Mass transfer during enhanced hydrocarbon recovery by gas injection processes.” 2014. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/446031/rec/3967.

MLA Handbook (7th Edition):

Shojaei, Hasan. “Mass transfer during enhanced hydrocarbon recovery by gas injection processes.” 2014. Web. 16 Jun 2019.

Vancouver:

Shojaei H. Mass transfer during enhanced hydrocarbon recovery by gas injection processes. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/446031/rec/3967.

Council of Science Editors:

Shojaei H. Mass transfer during enhanced hydrocarbon recovery by gas injection processes. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/446031/rec/3967


University of Southern California

20. Hao, Minshen. Aggregation and modeling using computational intelligence techniques.

Degree: PhD, Electrical Engineering, 2014, University of Southern California

 In waterflood management, there exists several models to describe a petroleum reservoir for predicting the future production rates using scheduled injection rates. Most of them… (more)

Subjects/Keywords: aggregation; computing with words; computational intelligence techniques; general type‐2 fuzzy sets; interval type‐2 fuzzy sets; similarity measure; uncertainty modeling; interval type‐2 word models

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APA (6th Edition):

Hao, M. (2014). Aggregation and modeling using computational intelligence techniques. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/413110/rec/585

Chicago Manual of Style (16th Edition):

Hao, Minshen. “Aggregation and modeling using computational intelligence techniques.” 2014. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/413110/rec/585.

MLA Handbook (7th Edition):

Hao, Minshen. “Aggregation and modeling using computational intelligence techniques.” 2014. Web. 16 Jun 2019.

Vancouver:

Hao M. Aggregation and modeling using computational intelligence techniques. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/413110/rec/585.

Council of Science Editors:

Hao M. Aggregation and modeling using computational intelligence techniques. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/413110/rec/585


University of Southern California

21. Lin, Yenting. Transmission tomography for high contrast media based on sparse data.

Degree: PhD, Electrical Engineering, 2013, University of Southern California

 Transmission tomography is a powerful tool to image the interior structure based on measured data on the boundary. It provides a "non-destructive" imaging and widely… (more)

Subjects/Keywords: tomography; high contrast; sparse data

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APA (6th Edition):

Lin, Y. (2013). Transmission tomography for high contrast media based on sparse data. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/315223/rec/7584

Chicago Manual of Style (16th Edition):

Lin, Yenting. “Transmission tomography for high contrast media based on sparse data.” 2013. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/315223/rec/7584.

MLA Handbook (7th Edition):

Lin, Yenting. “Transmission tomography for high contrast media based on sparse data.” 2013. Web. 16 Jun 2019.

Vancouver:

Lin Y. Transmission tomography for high contrast media based on sparse data. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/315223/rec/7584.

Council of Science Editors:

Lin Y. Transmission tomography for high contrast media based on sparse data. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/315223/rec/7584


University of Southern California

22. Javaheri, Mohammad. The role of counter-current flow in the modeling and simulation of multi-phase flow in porous media.

Degree: PhD, Petroleum Engineering, 2013, University of Southern California

 Carbon Capture and Storage (CCS) is the capture of carbon dioxide (CO₂) from large source points, such as power plants, and storing it in geological… (more)

Subjects/Keywords: counter-current flow; porous media; reservoir simulation; CO₂ sequestration; relative permeability; multi-phase flow

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APA (6th Edition):

Javaheri, M. (2013). The role of counter-current flow in the modeling and simulation of multi-phase flow in porous media. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/356870/rec/7201

Chicago Manual of Style (16th Edition):

Javaheri, Mohammad. “The role of counter-current flow in the modeling and simulation of multi-phase flow in porous media.” 2013. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/356870/rec/7201.

MLA Handbook (7th Edition):

Javaheri, Mohammad. “The role of counter-current flow in the modeling and simulation of multi-phase flow in porous media.” 2013. Web. 16 Jun 2019.

Vancouver:

Javaheri M. The role of counter-current flow in the modeling and simulation of multi-phase flow in porous media. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/356870/rec/7201.

Council of Science Editors:

Javaheri M. The role of counter-current flow in the modeling and simulation of multi-phase flow in porous media. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/356870/rec/7201


University of Southern California

23. Pan, Yu. Inferential modeling and process monitoring for applications in gas and oil production.

Degree: PhD, Chemical Engineering, 2015, University of Southern California

 In industrial processes, including gas and oil processing, many important physical properties are difficult to measure due to limitations such as cost, reliability, and large… (more)

Subjects/Keywords: partial least squares; inferential model; Reid vapor pressure; basic sediment and water; process monitoring; contribution method

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APA (6th Edition):

Pan, Y. (2015). Inferential modeling and process monitoring for applications in gas and oil production. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/547268/rec/3472

Chicago Manual of Style (16th Edition):

Pan, Yu. “Inferential modeling and process monitoring for applications in gas and oil production.” 2015. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/547268/rec/3472.

MLA Handbook (7th Edition):

Pan, Yu. “Inferential modeling and process monitoring for applications in gas and oil production.” 2015. Web. 16 Jun 2019.

Vancouver:

Pan Y. Inferential modeling and process monitoring for applications in gas and oil production. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/547268/rec/3472.

Council of Science Editors:

Pan Y. Inferential modeling and process monitoring for applications in gas and oil production. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/547268/rec/3472


University of Southern California

24. Tabibzadeh, Maryam. A risk analysis methodology to address human and organizational factors in offshore drilling safety: with an emphasis on negative pressure test.

Degree: PhD, Industrial and Systems Engineering, 2014, University of Southern California

 According to the final Presidential National Commission report on the BP Deepwater Horizon (DWH) blowout, there is need to “integrate more sophisticated risk assessment and… (more)

Subjects/Keywords: Deepwater Horizon; human and organizational factors; negative pressure test; offshore drilling; risk analysis; safety and reliability

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APA (6th Edition):

Tabibzadeh, M. (2014). A risk analysis methodology to address human and organizational factors in offshore drilling safety: with an emphasis on negative pressure test. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/379524/rec/348

Chicago Manual of Style (16th Edition):

Tabibzadeh, Maryam. “A risk analysis methodology to address human and organizational factors in offshore drilling safety: with an emphasis on negative pressure test.” 2014. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/379524/rec/348.

MLA Handbook (7th Edition):

Tabibzadeh, Maryam. “A risk analysis methodology to address human and organizational factors in offshore drilling safety: with an emphasis on negative pressure test.” 2014. Web. 16 Jun 2019.

Vancouver:

Tabibzadeh M. A risk analysis methodology to address human and organizational factors in offshore drilling safety: with an emphasis on negative pressure test. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/379524/rec/348.

Council of Science Editors:

Tabibzadeh M. A risk analysis methodology to address human and organizational factors in offshore drilling safety: with an emphasis on negative pressure test. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/379524/rec/348


University of Southern California

25. Liu, Shuping. Intelligent control and automatic detection/prediction in sensor based systems.

Degree: PhD, Electrical Engineering, 2011, University of Southern California

 Sensors are increasingly used for collecting data from the field for monitoring and detecting anomalous behavior. In this thesis a network of sensors are used… (more)

Subjects/Keywords: intelligent control; energy efficiency; accuracy; automatic; detection and prediction; sensor based systems; machine learning; data mining

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APA (6th Edition):

Liu, S. (2011). Intelligent control and automatic detection/prediction in sensor based systems. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/175912/rec/3555

Chicago Manual of Style (16th Edition):

Liu, Shuping. “Intelligent control and automatic detection/prediction in sensor based systems.” 2011. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/175912/rec/3555.

MLA Handbook (7th Edition):

Liu, Shuping. “Intelligent control and automatic detection/prediction in sensor based systems.” 2011. Web. 16 Jun 2019.

Vancouver:

Liu S. Intelligent control and automatic detection/prediction in sensor based systems. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/175912/rec/3555.

Council of Science Editors:

Liu S. Intelligent control and automatic detection/prediction in sensor based systems. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/175912/rec/3555


University of Southern California

26. Leon, Lorraine Annette. Paleoseismology of blind-thrust faults beneath Los Angeles, California: implications for the potential of system-wide earthquakes to occur in an active fold-and-thrust belt.

Degree: PhD, Geological Sciences, 2009, University of Southern California

 In order to understand the paleo-earthquake history and structural evolution of blind-thrust faults and their associated folds, I use a multi-disciplinary methodology to link blind… (more)

Subjects/Keywords: paleoseismology of blind-thrust faults; Puente Hills thrust fault; Compton thrust fault

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APA (6th Edition):

Leon, L. A. (2009). Paleoseismology of blind-thrust faults beneath Los Angeles, California: implications for the potential of system-wide earthquakes to occur in an active fold-and-thrust belt. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/184840/rec/4899

Chicago Manual of Style (16th Edition):

Leon, Lorraine Annette. “Paleoseismology of blind-thrust faults beneath Los Angeles, California: implications for the potential of system-wide earthquakes to occur in an active fold-and-thrust belt.” 2009. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/184840/rec/4899.

MLA Handbook (7th Edition):

Leon, Lorraine Annette. “Paleoseismology of blind-thrust faults beneath Los Angeles, California: implications for the potential of system-wide earthquakes to occur in an active fold-and-thrust belt.” 2009. Web. 16 Jun 2019.

Vancouver:

Leon LA. Paleoseismology of blind-thrust faults beneath Los Angeles, California: implications for the potential of system-wide earthquakes to occur in an active fold-and-thrust belt. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/184840/rec/4899.

Council of Science Editors:

Leon LA. Paleoseismology of blind-thrust faults beneath Los Angeles, California: implications for the potential of system-wide earthquakes to occur in an active fold-and-thrust belt. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/184840/rec/4899


University of Southern California

27. Liu, Fang. Data discovery on liquefaction-induced lateral ground deformations.

Degree: PhD, Civil Engineering, 2010, University of Southern California

 Liquefaction-induced deformations during earthquake pose considerable risks to lifeline systems in urban areas. Empirical models, benefiting from case histories, are preferable for regionally assessing those… (more)

Subjects/Keywords: liquefaction; lateral ground deformation; earthquake; data; information

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APA (6th Edition):

Liu, F. (2010). Data discovery on liquefaction-induced lateral ground deformations. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/133397/rec/1762

Chicago Manual of Style (16th Edition):

Liu, Fang. “Data discovery on liquefaction-induced lateral ground deformations.” 2010. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/133397/rec/1762.

MLA Handbook (7th Edition):

Liu, Fang. “Data discovery on liquefaction-induced lateral ground deformations.” 2010. Web. 16 Jun 2019.

Vancouver:

Liu F. Data discovery on liquefaction-induced lateral ground deformations. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/133397/rec/1762.

Council of Science Editors:

Liu F. Data discovery on liquefaction-induced lateral ground deformations. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/133397/rec/1762


University of Southern California

28. Heidary-Fyrozjaee, Mohsen. Control of displacement fronts in porous media by flow rate partitioning.

Degree: PhD, Petroleum Engineering, 2008, University of Southern California

 In modern reservoir management, optimizing the recovery efficiency of displacement processes is a fundamental problem with important economic ramifications. Given a well configuration, the optimum… (more)

Subjects/Keywords: fluid fronts; porous media; intelligent wells; rate partitioning; front control

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APA (6th Edition):

Heidary-Fyrozjaee, M. (2008). Control of displacement fronts in porous media by flow rate partitioning. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/53344/rec/1636

Chicago Manual of Style (16th Edition):

Heidary-Fyrozjaee, Mohsen. “Control of displacement fronts in porous media by flow rate partitioning.” 2008. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/53344/rec/1636.

MLA Handbook (7th Edition):

Heidary-Fyrozjaee, Mohsen. “Control of displacement fronts in porous media by flow rate partitioning.” 2008. Web. 16 Jun 2019.

Vancouver:

Heidary-Fyrozjaee M. Control of displacement fronts in porous media by flow rate partitioning. [Internet] [Doctoral dissertation]. University of Southern California; 2008. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/53344/rec/1636.

Council of Science Editors:

Heidary-Fyrozjaee M. Control of displacement fronts in porous media by flow rate partitioning. [Doctoral Dissertation]. University of Southern California; 2008. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/53344/rec/1636


University of Southern California

29. Zhang, Cong. Design space exploration for asset development in smart oilfields.

Degree: PhD, Electrical Engineering, 2008, University of Southern California

 Smart oilfields have emerged with recent technological advances incorporating current technical innovations into the decision making process for field asset development. Among the research efforts… (more)

Subjects/Keywords: design space exploration; smart oilfields; data management; simulation model

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APA (6th Edition):

Zhang, C. (2008). Design space exploration for asset development in smart oilfields. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/106401/rec/1871

Chicago Manual of Style (16th Edition):

Zhang, Cong. “Design space exploration for asset development in smart oilfields.” 2008. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/106401/rec/1871.

MLA Handbook (7th Edition):

Zhang, Cong. “Design space exploration for asset development in smart oilfields.” 2008. Web. 16 Jun 2019.

Vancouver:

Zhang C. Design space exploration for asset development in smart oilfields. [Internet] [Doctoral dissertation]. University of Southern California; 2008. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/106401/rec/1871.

Council of Science Editors:

Zhang C. Design space exploration for asset development in smart oilfields. [Doctoral Dissertation]. University of Southern California; 2008. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/106401/rec/1871


University of Southern California

30. Liu, Feilong. Intelligent signal processing for oilfield waterflood management.

Degree: PhD, Electrical Engineering, 2008, University of Southern California

 This thesis addresses two problems about water-flood management: (1) infer reservoir heterogeneity using measured injection and production rates, and (2) construct a decision support system… (more)

Subjects/Keywords: oilfield waterflood management; reservoir connectivity; injector-producer relationship; regional impact; extended kalman filter; decision support system; computing with words; fuzzistics; interval approach

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

APA (6th Edition):

Liu, F. (2008). Intelligent signal processing for oilfield waterflood management. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/54766/rec/3558

Chicago Manual of Style (16th Edition):

Liu, Feilong. “Intelligent signal processing for oilfield waterflood management.” 2008. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/54766/rec/3558.

MLA Handbook (7th Edition):

Liu, Feilong. “Intelligent signal processing for oilfield waterflood management.” 2008. Web. 16 Jun 2019.

Vancouver:

Liu F. Intelligent signal processing for oilfield waterflood management. [Internet] [Doctoral dissertation]. University of Southern California; 2008. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/54766/rec/3558.

Council of Science Editors:

Liu F. Intelligent signal processing for oilfield waterflood management. [Doctoral Dissertation]. University of Southern California; 2008. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/54766/rec/3558

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