This research utilizes the imbibition experiments and X-ray tomography results for modeling fluid flow in naturally fractured reservoirs. Conventional dual porosity simulation requires large number of runs to quantify transfer function parameters for history matching purposes. In this study empirical transfer functions (ETF) are derived from imbibition experiments and this allows reduction in the uncertainness in modeling of transfer of fluids from the matrix to the fracture. The application of the ETF approach is applied in two phases. In the first phase, imbibition experiments are numerically solved using the diffusivity equation with different boundary conditions. Usually only the oil recovery in imbibition experiments is matched. But with the advent of X-ray CT, the spatial variation of the saturation can also be computed. The matching of this variation can lead to accurate reservoir characterization. In the second phase, the imbibition derived empirical transfer functions are used in developing a dual porosity reservoir simulator. The results from this study are compared with published results. The study reveals the impact of uncertainty in the transfer function parameters on the flow performance and reduces the computations to obtain transfer function required for dual porosity simulation.

Naturally fractured reservoirs (NFR) represent an important percentage of the worldwide hydrocarbon reserves and production. Reservoir simulation is a fundamental technique in characterizing this type of reservoir. Fracture properties are often not available due to difficulty to characterize the fracture system. On the other hand, well test analysis is a well known and widely applied reservoir characterization technique. Well testing in NFR provides two characteristic parameters, storativity ratio and interporosity flow coefficient. The storativity ratio is related to fracture porosity. The interporosity flow coefficient can be linked to shape factor, which is a function of fracture spacing. The purpose of this work is to investigate the feasibility of estimating fracture porosity and fracture spacing from single well test analysis and to evaluate the use of these two parameters in dual porosity simulation models. The following assumptions were considered for this research: 1) fracture compressibility is equal to matrix compressibility; 2) no wellbore storage and skin effects are present; 3) pressure response is in pseudo-steady state; and 4) there is single phase flow. Various simulation models were run and build up pressure data from a producer well was extracted. Well test analysis was performed and the result was compared to the simulation input data. The results indicate that the storativity ratio provides a good estimation of the magnitude of fracture porosity. The interporosity flow coefficient also provides a reasonable estimate of the magnitude of the shape factor, assuming that matrix permeability is a known parameter. In addition, pressure tests must exhibit all three flow regimes that characterizes pressure response in NFR in order to obtain reliable estimations of fracture porosity and shape factor.

This research utilizes the imbibition experiments and X-ray tomography results for modeling fluid flow in naturally fractured reservoirs. Conventional dual porosity simulation requires large number of runs to quantify transfer function parameters for history matching purposes. In this study empirical transfer functions (ETF) are derived from imbibition experiments and this allows reduction in the uncertainness in modeling of transfer of fluids from the matrix to the fracture. The application of the ETF approach is applied in two phases. In the first phase, imbibition experiments are numerically solved using the diffusivity equation with different boundary conditions. Usually only the oil recovery in imbibition experiments is matched. But with the advent of X-ray CT, the spatial variation of the saturation can also be computed. The matching of this variation can lead to accurate reservoir characterization. In the second phase, the imbibition derived empirical transfer functions are used in developing a dual porosity reservoir simulator. The results from this study are compared with published results. The study reveals the impact of uncertainty in the transfer function parameters on the flow performance and reduces the computations to obtain transfer function required for dual porosity simulation.

The main objective of the study was to analyze the thermal comfort of a naturally ventilated building in Kampala – Uganda. CEDAT building in Makerere University was selected as the case study representing an educational center which is a naturally ventilated building. DesignBuilderEnergyPlus simulation program was used to model and perform simulations. Simulations for thermal comfort were done on the baseline model with a WWR of 30 % to attain the baseline model comfort data based on Simple ASHRAE 55-2004 throughout the year. Simulations for different natural ventilation improvement strategies were then done through parametric analysis. The strategies simulated for improving occupancy thermal comfort were lighting control, mechanical ventilation without cooling (fans), mechanical ventilation with cooling and variation of window to wall ratio from 0% to 100% to establish its effect on the thermal comfort of the building occupants.   Results for predicted thermal comfort sensation of occupants revealed that baseline thermal comfort sensation was between hot and slightly warm with 35.15% discomfort hours against 64.85% comfort throughout the year. Lighting control thermal comfort sensation improved to between hot and neutral with 0.55% improvement in baseline occupancy thermal comfort hours.  Mechanical ventilation without cooling registered a negligible improvement in occupancy thermal comfort while on application of scheduled cooling thermal comfort improved between slightly warm and slightly cool with a 12% improvement in comfort hours. Variation of WWR revealed that thermal comfort generally increased negligible with increase in WWR.    It can be concluded that mechanical ventilation with cooling combined with lighting control can be great strategies and opportunity for improving the case study thermal comfort.

The effect of naturally produced volatile fatty acids (VFAs) on the removal of 2, 4-D from a wastewater during the denitrification process was studied in this thesis. The VFAs were generated from an anaerobic digester using soya flour solution as a synthetic feed. The digester was operated at an SRT and HRT of 10 days. The pH (4.8 ± 0.2) and temperature (32 ± 3 ℃) of the digester were not controlled. A mean VFA concentration of 3153 ± 801 mg/L was achieved with acid speciation results of acetic (51.4 %), propionic (27.5 %), n-butyric (19.6 %) and iso-valeric (1.4 %). The specific VFA production rate was 0.014 mg VFA/mg VSS/day. The extent of the digestion process converting the substrate from a particulate to soluble form was evaluated as the specific TOC solubilization rate (0.007 mg TOC/mg VSS/day), soluble COD production rate (0.022 mg SCOD/mg VSS/day) and percent VSS reduction (14 %). The low solubilization rate is possibly due to high feed solids (3.4%) which led to a heavily overloaded bioreactor. It also suggests that the particulate substrate was not entirely amenable to solubilization. The acclimation of 2, 4-D degrading bacteria was developed successfully in an SBR fed with sewage and 2, 4-D (30-100 mg/L) as carbon and energy sources. A mean MLSS of 3653 ± 547 mg/L and an SRT of 20 ± 9 days were observed during the research period. The settleability of the SBR sludge was excellent evidenced by a low sludge volume index (SVI) of 101 ± 50 mL/g and less than 5 mg/L of effluent suspended solids. The specific 2, 4-D degradation rate was 0.046 ± 0.018 mg/mg MLSS/day. However, the removal of 2, 4-D during 60 minutes of non-aerated phase was negligible while more than 90 % of the 2, 4-D was removed within 240 minutes of the aerated phase. The successful degradation of 2, 4-D is related to the length of the acclimation period, as the acclimation period increased, the specific biodegradation rate increased. A biosorption study using ultrasound pre-treatment of the SBR acclimated biomass suggested that less than 10 % of the removal of 2, 4-D was due to biosorption, while more than 90 % removal of the 2, 4-D was likely due to biodegradation. Denitrification batch tests (using SBR-acclimated biomass) demonstrated that the addition of a digester effluent rich in naturally-produced VFAs increased both the 2 specific denitrification rate and the 2, 4-D degradation efficiency, as compared to that using 2, 4-D as a sole carbon source. In particular, the specific denitrification rates increased from 0.0119 ± 0.0039 to 0.0192 ± 0.0079 to 0.024 ± 0.003 g NO₃-N/g VSS per day, when using 2, 4-D alone, 2, 4-D plus natural VFAs and natural VFAs alone as carbon sources. The percent 2, 4-D removal increased from 28.33 ± 11.88 using 2, 4-D alone as a carbon source to 54.17 ± 21.89 using 2, 4-D plus natural VFAs as carbon sources. The specific 2, 4-D degradation rate and 2, 4-D removal efficiency of unacclimated biomass were 2.0 to 2.5 times less than those of the acclimated biomass. Natural VFAs and synthetic VFAs were found to be identical in denitrification batch tests in terms of their use as a carbon source. The mean specific denitrification and VFA-C consumption rates as well as the mean specific 2, 4-D degradation rate derived from experiments using natural VFAs and 2, 4-D as carbon sources were close to the valuess from experiments using synthetic VFAs and 2, 4-D as carbon sources. Further exploration of 2, 4-D degradation behaviour with pulsed additions of NO₃-N did not find further significant 2, 4-D removal, although almost all of NO₃-N was used by the end of the experimental run due to endogenous carbon sources used for cell maintenance and growth. However, the higher the concentration of biomass used in the denitrification batch system, the larger the amount of 2, 4-D degraded and the faster the VFA-C and NO₃-N were consumed. Further research with respect to optimisation of the acid-phase anaerobic digestion process (e.g. to adjust SRT and HRT or to lower the solid content of synthetic feed) would improve the specific VFA production rate and the solubilization rate. More research on the SBR could be carried out to investigate its maximum 2, 4-D removal capability as well as the removal of other structurally related herbicides. Attempts could be made to stimulate the growth of denitrifiers in the SBR (e.g. to add certain amounts of NO₃-N according to proper C: N ratios or to increase the length of non-aerated time). More microbiological studies of 2, 4-D degrading bacteria may also be helpful to understand the combined SBR/denitrification and 2, 4-D degradation process. More theoretical aspects of modelling kinetics could be developed to apply the combined process in-situ at 2, 4-D contaminated sites.

Elevated manganese (Mn) concentrations have been measured in groundwater within the Roanoke River watershed, Virginia. Concentrations of Mn often exceed the secondary drinking water standard. A historic belt of Mn ores, the James River-Roanoke River Manganese District (JRRRMD), occurs in the eastern part of the watershed. The project objectives were to 1) evaluate the formation of the JRRRMD ore deposits and 2) analyze existing groundwater chemistry data to evaluate sources and processes that control groundwater Mn. Analysis of ore minerals, morphologies, and chemistry provides support that the ore deposits are supergene in origin, consistent with previous work. Spatial correlations between Mn ore locations and stream terrace deposits support a model of ore formation in which Mn-oxides were precipitated near discharge zones as anoxic groundwater mixed with oxic groundwater. Terrace deposits present at elevations higher than modern streams suggests that topography has been inverted, allowing ores to be found at higher elevations than what is typically associated with ores formed in discharge zones. Analysis of groundwater chemistry data shows positive correlations between Mn, calcium and bicarbonate concentrations in groundwater, suggesting that carbonate-bearing lithologies are probable sources of Mn to groundwater. Regionally, groundwater flows toward the Roanoke River where the flowpath terminus is marked by elevated Mn. The inverse correlation of Mn with dissolved oxygen suggests that reducing conditions that develop along flowpaths allow for Mn to persist in groundwater. Overall, results suggest that the same processes that allowed for formation of the JRRRM ore deposits continue to occur today. / Master of Science

Alzheimer's disease is a form of dementia associated with disturbing and disruptive behaviors that account for many negative health and well-being outcomes, including declines in functional status, social engagement, and physical activity (Lyketsos, 2007). These behavioral consequences diminish patients' quality of life (QoL) and increase caregiver burden and the cost of care, often ultimately necessitating that patients be placed in a nursing home (Murman and Colenda, 2005). Nature can profoundly affect people's health, well-being, and QoL; indeed, it is an old concept that the healing properties of nature can be used therapeutically. Accordingly, naturally restorative environmental (NRE) interventions stimulate one or more of the senses using natural things: elements of the earth that are living and animate, geographic, or solar and climatic (Gibson, Chalfont, Clarke, Torrington, and Sixsmith, 2007). For persons with dementia, interventions that incorporate NRE elements have demonstrated a variety of benefits, including decreased agitation; less use of psychotropic drugs); normalization of the circadian rhythm; and enhanced sociability, affect, cognitive capacity, and attention (Detweiler, Murphy, Kim, Meyers, and Ashai, 2009; Colenda, Cohen, McCall, and Rosenquist, 1997; LeGrace, 2002). Self-reported improvements in well-being, quality of life, and participation in meaningful activities have also been documented (Collins and O'Callaghan, 2008; Duggan, Blackman, Martyr, and Van Schaik, 2008; Nowak and Davis, 2011). Thus, NREs provide caregivers potential options for addressing physical, spiritual, psychological, and social needs, while at the same time, affecting behavioral responses. These widespread benefits justify further investigation and clarification. Despite the rich potential of NRE interventions for treating dementia, the research to support NRE use has not been synthesized and defined in terms of specific behaviors that may be affected, their dosage, the optimal NRE settings, and other specific characteristics. Further research is needed to develop the most effective interventions. The purpose of this dissertation is to produce a comprehensive meta-analysis of the studies, both published and unpublished, that detail the use of NRE in interventions for behaviors and QoL in dementia care. A meta-regression was conducted of moderator variables to guide development of NRE interventions for dementia care. Additionally, the characteristics of different types of programs were synthesized. Data from thirty three articles were pooled for effect size (ES) estimates on two outcomes: disruptive behaviors and quality of life. In two-group comparisons, treatment and control, an ES = 0.484 + .138, k= 17, CI (0.215, 0.745) favored the interpretation that disruptive behaviors were attenuated with NRE interventions. Findings were higher in single, pre- post-test design studies, with an ES= 0.758+ 0.109. k= 7, CI (0.544, 0.973) for diminishing disruptive behaviors. In the two-group comparisons assessing the quality of life outcome, the ES= 0.579 + 0.171, k= 10, CI (0.243, 0.915); for single group designs, the ES= 1.347+ 0.256, k=7, CI (0.020, 0.719). Thus both design analyses indicated improved measures of QoL for persons with dementia. Moderator analysis by type of NRE, two-group design, showed statistically significant lessening in disruptive behaviors using aromatherapy, but not bright light or horticulture therapy. Better QoL was shown independently by the moderators, aromatherapy and horticulture therapy, but not bright light therapy. When single group analysis was done for each type of NRE, they all independently showed significance for both behaviors and QoL; except there were no single group designs in AT or BLT. Despite the considerable heterogeneity of the interventions, individual moderators all showed potential benefits, in a variety of settings, and in different contexts.

Spontaneous imbibition plays a very important role in the displacement mechanism of non-wetting fluid in naturally fractured reservoirs. We developed a new 2D two-phase finite element numerical model, as available commercial simulators cannot be used to model small-scale experiments with different boundary conditions as well as complex boundary conditions such as fractures and vugs. Starting with the basic equation of fluid flow, we derived the non-linear diffusion saturation equation. This equation cannot be put in weighted-integral weak variational form and hence Rayleigh-Ritz finite element method (FEM) cannot be applied. Traditionally, the way around it is to use higher order interpolation functions and use Galerkin FEM or reduce the differentiability requirement and use Mixed FEM formulation. Other FEM methods can also be used, but iterative nature of those methods makes them unsuitable for solving large-scale field problems. But if we truncate the non-linear terms and decouple the dependent variables, from the spatial as well as the temporal domains of the primary variable to solve them analytically, the non-linear FEM problem reduces to a simple weighted integral form, which can be put into its corresponding weak form. The advantage of using Rayleigh-Ritz method is that it has immediate effect on the computation time required to solve a particular problem apart from incorporating complex boundary conditions. We compared our numerical models with the analytical solution of this diffusion equation. We validated the FDM numerical model using X-Ray Tomography (CT) experimental data from the single-phase spontaneous imbibition experiment, where two simultaneously varying parameters of weight gain and CT water saturation were used and then went ahead and compared the results of FEM model to that of FDM model. A two-phase field size example was taken and results from a commercial simulator were compared to the FEM model to bring out the limitations of this approach.

No description available.

Neural networks (NNs) are widely used to investigate the relationship among variables in complex multivariate problems. In cases of limited data, the network behavior strongly depends on factors such as the choice of network activation function and network initial weights. In this study, I investigated the use of neural networks for multivariate analysis in the case of limited data. The analysis shows that special attention should be paid when building and using NNs in cases of limited data. The linear activation function at the output nodes outperforms the sigmoidal and Gaussian functions. I found that combining network predictions gives less biased predictions and allows for the assessment of the prediction variability. The NN results, along with conventional statistical analysis, were used to examine the effects of folding, bed thickness, structural position, and lithology on the fracture properties distributions in the Lisburne Formation, folded and exposed in the northeastern Brooks Range of Alaska. Fracture data from five folds, representing different degrees of folding, were analyzed. In addition, I modeled the fracture system using the discrete fracture network approach and investigated the effects of fracture properties on the flow conductance of the system. For the Lisburne data, two major fracture sets striking north/south and east/west were studied. Results of the NNs analysis suggest that fracture spacing in both sets is similar and weakly affected by folding and that stratigraphic position and lithology have a strong effect on fracture spacing. Folding, however, has a significant effect on fracture length. In open folds, fracture lengths in both sets have similar averages and variances. As the folds tighten, both the east/west and north/south fracture lengths increase by a factor of 2 or 3 and become more variable. In tight folds, fracture length in the north/south direction is significantly larger than in the east/west direction. The difference in length between the two fracture sets creates a strong anisotropy in the reservoir. Given the same fracture density in both sets, the set with the greater length plays an important role for fluid flow, not only for flow along its principal direction but also in the orthogonal direction.