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You searched for +publisher:"University of Oklahoma" +contributor:("Huang, Liangliang"). Showing records 1 – 3 of 3 total matches.

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University of Oklahoma

1. Zheng, Da. Pore-scale Modeling and Multi-scale Characterization of Liquid Transport in Shales.

Degree: PhD, 2018, University of Oklahoma

Distinct from conventional reservoirs, shale formations have limited pore connectivity and unique pore spatial-distribution. Consequently, theoretical pore-network models developed for conventional formations are not representative of the porous media in unconventional rocks. This work presents a novel theoretical pore-network model, the dendroidal model, based on the analysis of pore-scale model reconstruction extracted from Scanning Electron Microscope images. The dendroidal model is a “semi-acyclic” model, which characterizes the limited connectivity of void space without sacrificing the interaction among main flow paths. The dendroidal model infers pore-body distribution based on the hysteresis effect of isothermal adsorption/desorption measurements and characterizes pore-throat distribution using mercury drainage capillary pressure experiments. The use of dual-compressibility model in the pore-network model construction eliminates the compressibility effect of void space, including connected pores and dead-end pores, in mercury drainage experiments. The total organic carbon (TOC) content and minerology are measured by experiments to determine the composition of pore bodies and pore throats in the dendroidal model. The difference in mercury intrusion and extraction caused by the trapping hysteresis and contact-angle hysteresis affects the stochastically distributed parameters, including pore-throat length, pore-throat cross-sectional geometry, coordination number and pore-body spatial distribution. I validate the dendroidal model by predicting the absolute permeability of the core samples from Marcellus and Wolfcamp shales. This newly developed pore-network model integrates the aforementioned seven distinct types of experiments to capture the realistic pore structures of shales. Extracted pore-network modeling is an efficient and reliable way to provide a platform for mathematical simulation of fluid flow in porous media and for predicting the transport properties. However, the existing algorithms for pore-network extraction have deficiencies in characterizing the porous media of shale core samples in as much as they cannot capture the unique features of unconventional reservoirs. In nano-scale pores, the accurate characterization of the porous geometry is important, since the relative error will be significant without considering trivial information. The newly developed approach, based on the maximal-ball method, proposes a novel and enhanced algorithm for the classification of pore throats and pore bodies. It also has a better performance in characterizing the corresponding properties that include pore-throat length, pore size and geometric factors. The Marcellus shale core samples are scanned using scanning electron microscope imaging with the resolution of 4 nm. The pore-network models based on the tomographic images are constructed, and the aforementioned parameters are compared and analyzed. The quantification of liquid transport in liquid-rich shales is crucial for an economical exploitation of… Advisors/Committee Members: Reza, Zulfiquar (advisor), Huang, Liangliang (committee member), Wu, Xingru (committee member), Shiau, Benjamin (committee member), Karami, Hamidreza (committee member).

Subjects/Keywords: Pore-scale Modeling; Pore-structure Characterization; Nano-confined Liquid Transport; Unconventional Reservoir

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APA (6th Edition):

Zheng, D. (2018). Pore-scale Modeling and Multi-scale Characterization of Liquid Transport in Shales. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/301817

Chicago Manual of Style (16th Edition):

Zheng, Da. “Pore-scale Modeling and Multi-scale Characterization of Liquid Transport in Shales.” 2018. Doctoral Dissertation, University of Oklahoma. Accessed July 04, 2020. http://hdl.handle.net/11244/301817.

MLA Handbook (7th Edition):

Zheng, Da. “Pore-scale Modeling and Multi-scale Characterization of Liquid Transport in Shales.” 2018. Web. 04 Jul 2020.

Vancouver:

Zheng D. Pore-scale Modeling and Multi-scale Characterization of Liquid Transport in Shales. [Internet] [Doctoral dissertation]. University of Oklahoma; 2018. [cited 2020 Jul 04]. Available from: http://hdl.handle.net/11244/301817.

Council of Science Editors:

Zheng D. Pore-scale Modeling and Multi-scale Characterization of Liquid Transport in Shales. [Doctoral Dissertation]. University of Oklahoma; 2018. Available from: http://hdl.handle.net/11244/301817


University of Oklahoma

2. Konatham, Deepthi. Equilibrium and Transport Properties of Systems Containing Graphene Sheets (-Oil Nanocomposites and Membranes) from Molecular Dynamics Simulations.

Degree: PhD, 2014, University of Oklahoma

In the second part of the thesis umbrella sampling simulations were employed to study the transport of water molecules and ions through the membranes incorporating bare and functionalized graphene pores. By calculating the potential of mean force for ion and water translocation through the bare graphene pores, we show that ions face a large energy barrier and will not pass through the narrower pore studied (Ø ~ 7.5 Å) but can pass through the wider pores (Ø ~ 10.5 and 14.5). Water, however, faces no such impediment and passes through all the pores studied with little energy barrier. When charged groups are grafted to the pore rim, the results show that the charges can help to prevent the passage of ions. Comparison of results for graphene pore to that of carbon nanotube pore reveals that COO- groups are more effective when grafted to the rim of GS pore in preventing Cl- ions from passing through the membrane compared to that of carbon nanotube pore. The results presented could be useful for the design of water desalination membranes. Advisors/Committee Members: Grady, Brian P (advisor), Striolo, Alberto (advisor), Papavassiliou, Dimitrios V (committee member), Huang, Liangliang (committee member), Mullen, Kieran (committee member), Hawa, Takumi (committee member).

Subjects/Keywords: graphene; molecular dynamics

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

APA (6th Edition):

Konatham, D. (2014). Equilibrium and Transport Properties of Systems Containing Graphene Sheets (-Oil Nanocomposites and Membranes) from Molecular Dynamics Simulations. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/13876

Chicago Manual of Style (16th Edition):

Konatham, Deepthi. “Equilibrium and Transport Properties of Systems Containing Graphene Sheets (-Oil Nanocomposites and Membranes) from Molecular Dynamics Simulations.” 2014. Doctoral Dissertation, University of Oklahoma. Accessed July 04, 2020. http://hdl.handle.net/11244/13876.

MLA Handbook (7th Edition):

Konatham, Deepthi. “Equilibrium and Transport Properties of Systems Containing Graphene Sheets (-Oil Nanocomposites and Membranes) from Molecular Dynamics Simulations.” 2014. Web. 04 Jul 2020.

Vancouver:

Konatham D. Equilibrium and Transport Properties of Systems Containing Graphene Sheets (-Oil Nanocomposites and Membranes) from Molecular Dynamics Simulations. [Internet] [Doctoral dissertation]. University of Oklahoma; 2014. [cited 2020 Jul 04]. Available from: http://hdl.handle.net/11244/13876.

Council of Science Editors:

Konatham D. Equilibrium and Transport Properties of Systems Containing Graphene Sheets (-Oil Nanocomposites and Membranes) from Molecular Dynamics Simulations. [Doctoral Dissertation]. University of Oklahoma; 2014. Available from: http://hdl.handle.net/11244/13876


University of Oklahoma

3. Mehana, Mohamed. TOWARDS A BETTER UNDERSTANDING OF THE RELATIONSHIP BETWEEN MOLECULAR FORCE AND HYDROCARBON RECOVERY.

Degree: PhD, 2019, University of Oklahoma

The optimization of hydrocarbon recovery is the core of petroleum engineering. Experiments are always the go-to approach to reveal mysterious observations and verify new theories. However, recent advances on our understanding of the matter have led to the development of computational approaches to track the evolution of its microscopic constituents. The microscopic modelling of the matter can be considered to be a computational experiment. These computational experiments are capable of exploring unknown-physics territories and providing validation to to the hypotheses and theories proposed from macroscopic observations. Coupling the complexity of the subsurface reservoirs with the heterogeneity of hydrocarbon systems, molecular simulation finds a fertile field to offer unmatched insights. The goal of this dissertation is to bridge the gap between theoretical research and field applications facilitating physics-based approaches to augment any observed empirical correlations. In our lab, I have noticed some puzzling observations where experiments are not capable of decoupling the competing factors towards explaining the behavior. For this reason, I designed computational microscopic experiments to unravel previous experimental results. The density behavior of the CO2/hydrocarbon mixture was my first project. While most of the gases used in the field for Enhanced Oil Recovery (EOR) result in a reduction in density when it mixes with the oil, experiments show that Carbon Dioxide (CO2) can result in an increase of the density. In addition, field operations report an early breakthrough for CO2 flooding, related to gravity segregation due to the abnormal density behavior. However, the molecular interactions that have an impact on the observed macroscopic behavior are poorly understood. I used molecular simulation to study methane, propane and carbon dioxide mixtures with octane, benzene, pentane and hexadecane up to the miscibility limit at temperatures up to 400 K, and pressures up to 6000 psi. The values of density obtained through molecular simulations validate those obtained through experimental work and Equation of State (EoS) methods. Oil-CO2 mixtures sustain their density to a higher gas mole percent compared to other gases, with the density in some cases exceeding the pure liquid hydrocarbon density even when gas density at those conditions is lower. Our results have demonstrated that the intermolecular columbic and induced dipole interactions, and the stretching of the alkane molecules, the proposed mechanisms in literature, might not be the key to understand the oil-CO2 density behavior. However, I find that the molecular size of the gas play an important role in the density profile observed. Another serious concern for designing a development plan for oil reservoirs is the stability of the asphaltene molecules. I performed molecular simulation to investigate the dynamic behavior of asphaltene during gas flooding, validating the results with experimental observations. I used two structures representing the… Advisors/Committee Members: Mashhad, Fahs (advisor), Huang, Liangliang (advisor), Whitson, Curtis (committee member), Xingru, Wu (committee member), Zulfiquar, Reza (committee member), Catalin, Teodoriu (committee member), Kurt, Marfurt (committee member).

Subjects/Keywords: Carbon dioxide/oil physical properties; Asphaltene deposition; Low-salinity Waterflooding; Molecular Simulation

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

APA (6th Edition):

Mehana, M. (2019). TOWARDS A BETTER UNDERSTANDING OF THE RELATIONSHIP BETWEEN MOLECULAR FORCE AND HYDROCARBON RECOVERY. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/320194

Chicago Manual of Style (16th Edition):

Mehana, Mohamed. “TOWARDS A BETTER UNDERSTANDING OF THE RELATIONSHIP BETWEEN MOLECULAR FORCE AND HYDROCARBON RECOVERY.” 2019. Doctoral Dissertation, University of Oklahoma. Accessed July 04, 2020. http://hdl.handle.net/11244/320194.

MLA Handbook (7th Edition):

Mehana, Mohamed. “TOWARDS A BETTER UNDERSTANDING OF THE RELATIONSHIP BETWEEN MOLECULAR FORCE AND HYDROCARBON RECOVERY.” 2019. Web. 04 Jul 2020.

Vancouver:

Mehana M. TOWARDS A BETTER UNDERSTANDING OF THE RELATIONSHIP BETWEEN MOLECULAR FORCE AND HYDROCARBON RECOVERY. [Internet] [Doctoral dissertation]. University of Oklahoma; 2019. [cited 2020 Jul 04]. Available from: http://hdl.handle.net/11244/320194.

Council of Science Editors:

Mehana M. TOWARDS A BETTER UNDERSTANDING OF THE RELATIONSHIP BETWEEN MOLECULAR FORCE AND HYDROCARBON RECOVERY. [Doctoral Dissertation]. University of Oklahoma; 2019. Available from: http://hdl.handle.net/11244/320194

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