Oil is the black blood that runs through the veins of the modern global energy system. While being the dominant source of energy, oil has also brought wealth and power to the western world. Future supply for oil is unsure or even expected to decrease due to limitations imposed by peak oil. Energy is fundamental to all parts of society. The enormous growth and development of society in the last two-hundred years has been driven by rapid increase in the extraction of fossil fuels. In the foresee-able future, the majority of energy will still come from fossil fuels. Consequently, reliable methods for forecasting their production, especially crude oil, are crucial. Forecasting crude oil production can be done in many different ways, but in order to provide realistic outlooks, one must be mindful of the physical laws that affect extraction of hydrocarbons from a reser-voir. Decline curve analysis is a long established tool for developing future outlooks for oil production from an individual well or an entire oilfield. Depletion has a fundamental role in the extraction of finite resources and is one of the driving mechanisms for oil flows within a reservoir. Depletion rate also can be connected to decline curves. Consequently, depletion analysis is a useful tool for analysis and forecasting crude oil production. Based on comprehensive databases with reserve and production data for hundreds of oil fields, it has been possible to identify typical behaviours and properties. Using a combination of depletion and decline rate analysis gives a better tool for describing future oil production on a field-by-field level. Reliable and reasonable forecasts are essential for planning and nec-essary in order to understand likely future world oil production.

Background: Critically ill patients are at particular risk of developing bloodstream infection. Such infections are associated with the development of sepsis, leading to a marked increase in mortality rate. Early detection of the causative organism and appropriate antibiotic treatment are therefore critical for optimum outcome of patients with nosocomial infection. Current infection diagnosis is based on standard blood culture techniques. However, microbiological culture has a number of limitations, not least that it takes several days to confirm infection and is therefore not useful in directing the early treatment with antibiotics. New techniques based on the detection of pathogen DNA using real-time polymerase chain reaction (PCR) technology have the potential to address these limitations but their clinical utility is still to be proved. Objectives: Develop and evaluate novel PCR-based approaches to bloodstream infection diagnosis in critical illness based on detection and identification of bacterial and fungal DNA in blood. Methods: A range of commercial and 'in-house' PCR-based assays for detection of bacterial and fungal DNA were developed and/or optimised for use in clinical blood samples. These included LightCycler SeptiFast, a CE-marked multi-pathogen assay for common bloodstream pathogens, BactScreen and GramScreen, broad spectrum bacterial assays based on 16S rRNA gene and real-time PCR assays developed to detect a range of clinically important fungal pathogens. Novel approaches to speciation of pathogen DNA using melting temperature (Tm) profiling and high resolution melting analysis (HRMA) were developed. Clinical evaluation of assays was either on blinded clinical isolates or blood samples from critically ill patients with clinical suspicion of bloodstream infection against conventional microbiological culture. Several techniques aimed at improving extraction of pathogen DNA from blood were also investigated. Results: The CE-marked commercial assay SeptiFast showed analytical sensitivity and specificity of 79% and 83% respectively. Concordance with positive culture results was good but high levels of 'false positives' were detected possibly attributed to detection of free pathogen DNA not associated with viable pathogens. The predictive value of a negative SeptiFast test was 98% suggesting that absence of pathogen DNA is a strong indicator of absence of infection. Further studies were aimed at detailed optimisation and validation of 16S rRNA gene real-time PCR assays for bacterial DNA. BactScreen and GramScreen were able to detect a broad range of clinically important bacteria down to <50 CFU/ml blood. A preliminary comparative evaluation against SeptiFast showed BactScreen gave excellent concordance with blood culture results with minimal false positive results compared to SeptiFast. Efficient extraction of pathogen DNA was shown to be a key factor in determining analytical sensitivity and several protocols were evaluated. Low cost approaches to speciation of bacterial DNA were developed by combining broad range real-time PCR with HRMA. A novel HRMA method based on Tm profiling was shown to identify 89% and 96% of blinded clinical isolates at species or genus level respectively. Real-time PCR/HRMA approaches were also successfully developed for detection and identification of fungal pathogens including a range of Candida and Aspergillus species associated with bloodstream fungal infection. Conclusions: These studies have highlighted some of the key factors that need to be considered when developing and validating PCR based assays for pathogen DNA detection in blood. A set of novel tools have been developed for rapid detection and identification of bacterial and fungal pathogens that could address the challenges of infection diagnosis based on pathogen DNA detection. Further work is required, not least in development of more efficient pathogen DNA extraction and detailed clinical validation but the tools described here have the potential to provide cost effective solutions to aid infection diagnosis that would be complementary to current culture-based methods. The provision of time critical information could have a positive impact on clinical decision-making leading to more effective management and treatment of patients with suspected bloodstream infection.

<div> <div> <div> <p>Transparent alumina is a candidate material for ballistic applications where visible or infrared wavelength transmission is required. However, the transparency of polycrystalline alumina can be limited due to the rhombohedral crystal structure being inherently birefringent. Birefringence causes light scattering at grain boundaries and is detrimental to the transparency. It has been shown experimentally that the application of a high magnetic field during processing can lead to crystallographic alignment and the reduction of birefringent light scattering. This alignment method is effective but is limited in terms of scalability. This research addresses these limitations through the use of simple and cost-effective shear and elongational forming processes such as uniaxial warm pressing and direct ink writing (DIW) for the improvement of final sintered transparency. To further support the improvement of these processes as alternatives and to evaluate the possibility of using powder ratios to improve the alignment, this research will also investigate the sintering behavior during hot-pressing of equiaxed and platelet powders. </p> <p>Platelet ceramic-filled thermoplastic blends were developed and formed into sheets through uniaxial warm pressing. The solids loading (30 – 40 vol.%) and platelet diameter (1.2 and 11μm) were varied to compare effects on viscosity, percent reduction, and final alignment. All ceramic- filled thermoplastic polymer blends exhibited pseudoplastic behavior. Crystallographic alignment of green body samples was quantified by the orientation parameter (r) and grain misalignment angle (full width at half maximum, FWHM) obtained from rocking curve analysis. Blends with 11μm diameter platelets displayed a higher temperature sensitivity constant, better flow properties, and higher alignment compared to blends with 1.2μm diameter platelets. Optimal samples produced with blends containing 30 vol.% of 11μm diameter platelets demonstrated an alignment of r = 0.251 +/- 0.017; FWHM = 11.16° +/- 1.16°. A sample with optimal alignment was hot-pressed to transparency and obtained an in-line transmission of 70.0% at 645nm. The final alignment of this pre-aligned hot-pressed sample (r = 0.254 +/- 0.008; FWHM = 11.38° +/- 0.54°) improved when compared to a non-pre-aligned sample (r = 0.283 +/- 0.005; FWHM = 13.40° +/- 0.38°).</p><p>Additionally, the use of direct ink writing, an additive manufacturing technique, as a viable alignment process for producing transparent alumina was investigated. Highly loaded (> 54 vol.%) equiaxed alumina suspensions were developed with platelet additions ranging from 0-20vol.% of the total solids loading. An increase in the amount of platelet powders from 5-20vol.% increased the dynamic yield stress from 104Pa to 169Pa and decreased in the equilibrium storage modulus from 17,036Pa to 13,816Pa. It was found that the DIW process significantly increased the alignment in one orientation when compared to samples cast from the same suspensions and this behavior may be connected to the rheological properties. Lastly, an optical analysis showed that sample developed with 5vol.% platelet suspensions had higher in-line transmission values across the visible spectrum when compared to samples developed with 20vol.% suspensions. A sample cast from a 5vol.% platelet suspensions had the lowest grain alignment but possessed an in-line transmission of 42.8% at 645nm, which was the highest of the samples produced in this study. An optical loss analysis showed, that this sample has the lowest backwards scattering losses due to residual porosity and this result was supported by the density data. It is suggested that the alignment of the DIW samples is more complex and a more advanced texture analysis will need to be conducted to properly characterize the grain alignment.</p><p>Lastly, the densification behavior of equiaxed and platelet powder ratios with no intentional pre-alignment was investigated. An initial sintering investigation identified the optimum maximum pressure selected for the hot-pressing process as 20MPa. Under the selected hot- pressing parameters, the effects of 0, 25, 50, 75, and 100wt.% equiaxed powder additions on the sintering behavior, optical properties, and grain alignment was investigated. The data showed that an increase in the amount of equiaxed powders decreased the initial powder compact displacements rate. Additionally, an increase in the wt.% equiaxed powders from 0wt% to 75wt% decreases the in-line transmission from 70.9% to 40.2%, respectively at 645nm. Lastly, an increase in the wt.% equiaxed powders from 0wt% to 75wt decreased the alignment from (r = 0.321 +/- 0.005; FWHM = 16.26° +/- 0.40°) to (r = 0.509 +/- 0.022; FWHM = 34.63° +/- 2.61°), respectively.</p></div></div></div>

Orientador: Francisco José Teixeira Neto / Resumo: Objetivo: Comparar a acurácia diagnóstica da variação da pressão de pulso (VPP), variação do volume sistólico mensurada através do análise de contorno de pulso (VVSACP), índice de variabilidade pletismográfica (IVP), pressão venosa central (PVC) e índice do volume diastólico final global mensurado pela técnica de termodiluição transpulmonar (GEDVITDTP) para predizer a fluido-responsividade em cães. Animais: Quarenta cadelas saudáveis (13,8–26,8 kg) submetidas a ovário-salpingo-histerectomia. Métodos: A anestesia foi mantida com isoflurano sob ventilação mecânica com volume controlado (volume corrente 12 mL/kg, pausa inspiratória 40%, relação inspiração/expiração: 1:1,5). O débito cardíaco e o volume sistólico foram obtidos pela técnica de termodiluição transpulmonar através de um cateter inserido na artéria femoral. A fluido-responsividade (FR) foi avaliada por uma prova de carga (solução de Ringer com lactato, 20 mL/kg durante 15 minutos), administrada uma vez (n = 21) ou duas vezes (n = 18) antes da cirurgia. Respondedores a volume foram definidos como indivíduos onde o VS mensurado pela técnica de termodiluição transpulmonar, elevou-se acima de 15% após a última prova de carga. Resultados: Dos 39 animais incluídos no estudo, 21 cães foram classificados como respondedores e 18 não respondedores ao último desafio volêmico. As áreas sob as curvas de características de operação do receptor (AUROC) foram de 0,976, 0,906, 0,868 e 0,821 para VPP, IVP, PVC e VVSACP, respectivament... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: Objective: To compare the diagnostic accuracy of pulse pressure variation (PPV), stroke volume variation from pulse contour analysis (SVVPCA), plethysmographic variability index (PVI), central venous pressure (CVP) and global end-diastolic volume index measured by transpulmonary thermodilution (GEDVITPTD) to predict fluid responsiveness (FR) in dogs. Animals: A group of 40 bitches (13.8–26.8 kg) undergoing ovariohysterectomy. Methods: Anesthesia was maintained with isoflurane under volume-controlled ventilation (tidal volume 12 mL/kg; inspiratory pause during 40% of inspiratory time; inspiration: expiration ratio 1:1.5). Transpulmonary thermodilution cardiac output was recorded through a femoral artery catheter. FR was evaluated by a fluid challenge (lactated Ringer's, 20 mL kg over 15 minutes) administered once (n = 21) or twice (n = 18) before surgery. Individuals were responders if stroke volume index measured by transpulmonary thermodilution increased >15% after the last fluid challenge. Results: Of the 39 animals studied, 21 were responders and 18 were nonresponders. Area under the receiver operating characteristics curve (AUROC) was 0.976, 0.906, 0.868 and 0.821 for PPV, PVI, CVP and SVVPCA, respectively (p < 0.0001 from AUROC = 0.5). GEDVITPTD failed to predict FR (AUROC: 0.660, p = 0.078). Best cut-off thresholds discriminating responders and nonresponders, with respective zones of diagnostic uncertainty (gray zones) were: PPV >16% (15–16%), PVI >11% (10–13%), SVVPCA ... (Complete abstract click electronic access below) / Doutor

Bakgrund: Den pågående pandemin COVID-19 orsakas av viruset SARS-CoV-2. Sedan december 2020 har nya varianter av viruset med betydande genetiska förändringar upptäckts, gemensamt benämnt varianter av särskild betydelse eller variants of concern (VOC). Just nu är det tre VOC som bevakas särskilt; B.1.1.7 (först upptäckt i Storbritannien), B.1.351 (först upptäckt i Sydafrika) respektive P.1 (först upptäckt i Brasilien). Den tidigaste statistiken från Folkhälsomyndigheten om förekomsten av VOC i Region Dalarna är från februari 2021. Förekomsten av VOC innan dess är fortfarande okänd. I regionen delas analysering av prover vid misstanke om COVID-19 in i de olika kategorierna patienter, vårdpersonal, smittspårning och allmänhet. Befintlig statistik om förekomsten av VOC grundar sig nästan enbart på förekomsten bland allmänhetens prover. Syfte: Syftet med denna studie var att undersöka förekomsten av SARS-CoV-2 varianter av särskild betydelse i prover tagna från patienter, vårdpersonal och smittspårningar under december 2020-januari 2021 i Region Dalarna. Studien syftade också till att undersöka när spridningen av respektive VOC kan ha startat i regionen. Metod: Provmaterialet bestod av SARS-CoV-2 positiva prov tagna inom analyskategorierna under tidsperioden. Prover analyserades med RT-PCR och smältkurvsanalys för detektion av VOC-karaktäristiska mutationer. Resultat: Ett fåtal fall av B.1.1.7 detekterades redan i december och en stigande andel av B.1.1.7 påvisades inom analyskategorierna under januari, som tecken på att en regional spridning kan ha startat vid tidpunkten. Endast ett fåtal fall av B.1.351 och/eller P.1 detekterades inom analyskategorierna under tidsperioden, vilket tyder på att en regional spridning av dessa ännu inte hade startat i januari. / Background: The ongoing pandemic COVID-19 is caused by the virus SARS-CoV-2. Since December 2020 new variants of the virus with significant mutations have been discovered, referred to as variants of concern (VOC). At the point, the occurrence of three VOC is especially monitored; B.1.1.7 (discovered in UK), B.1.351 (discovered in South Africa) and P.1 (discovered in Brazil). The earliest statistics about the occurrence of VOC in Region Dalarna, Sweden, is from February 2021 and the occurrence before that is still unknown. In the region analysis of specimen in case of suspected COVID-19 is divided into the different categories patients, healthcare-staff, infection tracing and public. Existing statistics is based almost exclusively on the occurrence of VOC in specimen from the public. Aim: The aim of this study was to examine the occurrence of SARS-CoV-2 VOC among specimens collected from patients, healthcare staff and infection tracing in Region Dalarna during December 2020-January 2021. The study also aimed to examine when the spread of each VOC started in the region. Method: SARS-CoV-2 positive specimen collected within the categories during the time was analyzed with RT-PCR and melting curve analysis for detection of VOC-characteristic mutations. Results: A few cases of B.1.1.7 was detected already in December and an increased percentage of B.1.1.7 was detected within the categories during January, suggesting that a regional spread started at the time. Only a few cases of B.1.351 and/or P.1 was detected within the categories, suggesting that a regional spread of these had not yet started in January.

This project is associated with statistical methods to find the unknown parameters of a model. It is the statistical investigation of the algorithm with respect to accuracy (the Cramer-Rao bound and L-curve technique) and optimization of the algorithmic parameters. This project aims to estimate the true temperature (final temperature) of a certain liquid in a container by using initial measurements (readings) from a temperature probe with a known time constant. Basically, the final temperature of the liquid was estimated, before the probe reached its final reading. The probe obeys a simple first-order differential equation model. Based on the model of the probe and the measurement data the estimate was calculated of the ’true’ temperature in the container by using a maximum likelihood approach to parameter estimation.  The initial temperature was also investigated. Modelling, analysis, calculations, and simulations of this problem were explored.

New decline curve models have been developed to overcome the boundary-dominated flow assumption of the basic Arps’ models, which restricts their application in ultra-low permeability reservoirs exhibiting long-duration transient flow regimes. However, these new decline curve analysis (DCA) methods are still based only on production rate data, relying on the assumption of stable flowing pressure. Since this stabilized state is not reached rapidly in most cases, the applicability of these methods and the reliability of their solutions may be compromised. In addition, production performance predictions cannot be disassociated from the existing operation constraints under which production history was developed. On the other hand, DCA is often carried out without a proper identification of flow regimes. The arbitrary application of DCA models regardless of existing flow regimes may produce unrealistic production forecasts, because these models have been designed assuming specific flow regimes. The main purpose of this study was to evaluate the possible benefits provided by including flowing pressures in production decline analysis. As a result, it have been demonstrated that decline curve analysis based on pressure-normalized rates can be used as a reliable production forecasting technique suited to interpret unconventional wells in specific situations such as unstable operating conditions, limited availability of production data (short production history) and high-pressure, rate-restricted wells. In addition, pressure-normalized DCA techniques proved to have the special ability of dissociating the estimation of future production performance from the existing operation constraints under which production history was developed. On the other hand, it was also observed than more consistent and representative flow regime interpretations may be obtained as diagnostic plots are improved by including MBT, pseudovariables (for gas wells) and pressure-normalized rates. This means that misinterpretations may occur if diagnostic plots are not applied correctly. In general, an improved forecasting ability implies greater accuracy in the production performance forecasts and more reliable reserve estimations. The petroleum industry may become more confident in reserves estimates, which are the basis for the design of development plans, investment decisions, and valuation of companies’ assets.

Contexte et objectifs. La carrière criminelle est un sujet d’intérêt criminologique depuis plus de 80 ans. Les travaux sur cette question ont permis de mieux comprendre l’évolution des personnes contrevenantes et leurs crimes au fil du temps. Bien que beaucoup d’efforts aient été déployés pour étudier les hommes, les recherches portant sur les trajectoires criminelles des femmes demeurent relativement rares, ceci étant notamment attribuable à la petite taille des échantillons. L’objectif de ce mémoire est de réaliser une étude comparative de la carrière criminelle d’hommes et de femmes de 18 à 47 ans relevant de la juridiction de la province de Québec. Méthodologie. L’échantillon est composé de 3320 délinquants sous responsabilité provinciale, soit 216 femmes (6,5 %) et 3104 hommes (93,5 %). Des statistiques descriptives seront réalisées afin de dresser un portrait de la clientèle et une approche par variable latente catégorielle sera utilisée pour modéliser les parcours criminels. Plus précisément, cette analyse permet d’estimer des sous-groupes de délinquants au sein de la population qui suivent des courbes de croissance distinctes. La proportion d’individus appartenant à chacun de ces sous-groupes peut donc être estimée. Résultats. Les analyses indiquent que les femmes ont une fréquence de délits commis plus faible que les hommes, et ce, particulièrement au début de leur carrière criminelle. En effet, la différence quant à la fréquence tend à s’atténuer avec le temps, pour disparaître vers 40 ans. Également, il apparaît que les hommes et les femmes suivent un nombre de trajectoires criminelles similaires; cependant, la prévalence chez ces dernières apparaît relativement différente. En effet, il ressort que les femmes commencent plus tardivement leur carrière criminelle que les hommes, avec une proportion plus importante pour les crimes contre les biens. Finalement, les antécédents juvéniles influent sur la chronicité et la persistance, quel que soit le genre ou le type de crime. Conclusion. Les résultats démontrent que la différence selon le sexe est un sujet d’intérêt criminologique primordial puisque les femmes présentent des risques différents quant à la fréquence et au type de crime. Qui plus est, ces dernières semblent commencer leur carrière criminelle plus tardivement que les hommes. / Context and objectives. Criminal careers has been a subject of interest among criminologists for over 80 years. This research has allowed a better understanding of the evolution of criminalised individuals over time. However, research focusing on the criminal careers of women are relatively rare, this being mainly attributed to the nature of the chosen sample. While overcoming the potential limitations found in previous studies, the objective of this research is to conduct a comparative study of criminal careers among men and women (as of 18 until 47 years old) under provincial jurisdiction. Method. The sample consists of 3,320 offenders under provincial jurisdiction. The sample includes 216 female participants (6.5%) and 3104 male participants (93.5%). Descriptive statistics will be presented in order to provide a detailed portrait of offenders from 18 to 47 years old. Then, the categorical latent variable approach will be used. This type of analysis provides an estimate of sub-groups of offenders within the population that follow the growth curves separately. Thus, the proportion of individuals belonging to each of these subgroups can be estimated. Results. Women have a lower incidence of crime than men especially at the beginning of a criminal career; however this difference disappears towards the age of 40. It appears that men and women, at a certain period of time have similarities in their criminal careers. However, the prevalence of criminality among women is quite different from men. Indeed, it appears that women begin their criminal careers later than men, with a higher proportion of crimes against property. The juvenile history of criminal offence influences the perseverance in criminal careers among men and women, regardless of the type of offence. Conclusion. The results demonstrate the relevance of the difference between men and women during their criminal career. It should be one of the top interests for criminologists since women have different risks leading to offenses, as well as frequency and type of offense. Moreover, they appear to begin their criminal careers later than men.

<div>Adsorbent technology is widely used in many industrial applications including waste heat recovery, water purification, and atmospheric revitalization in confined habitations. Astronauts depend on adsorbent-based systems to remove metabolic carbon dioxide (CO₂) from the cabin atmosphere; as NASA prepares for the journey to Mars, engineers are redesigning the adsorbent-based system for reduced weight and optimal efficiency. These efforts hinge upon the development of accurate, predictive models, as simulations are increasingly relied upon to save cost and time over the traditional design-build-test approach. Engineers rely on simplified models to reduce computational cost and enable parametric optimizations. Amongst these simplified models is the axially dispersed plug-flow model for predicting the adsorbate concentration during flow through an adsorbent bed. This model is ubiquitously used in designing fixed-bed adsorption systems. The current work aims to improve the accuracy of the axially dispersed plug-flow model because of its wide-spread use. This dissertation identifies the critical model inputs that drive the overall uncertainty in important output quantities then systematically improves the measurement and prediction of these input parameters. Limitations of the axially dispersed plug-flow model are also discussed, and recommendations made for identifying failure of the plug-flow assumption.</div><div><br></div><div>An uncertainty and sensitivity analysis of an axially disperse plug-flow model is first presented. Upper and lower uncertainty bounds for each of the model inputs are found by comparing empirical correlations against experimental data from the literature. Model uncertainty is then investigated by independently varying each model input between its individual upper and lower uncertainty bounds then observing the relative change in predicted effluent concentration and temperature (<i>e.g.</i>, breakthrough time, bed capacity, and effluent temperature). This analysis showed that the LDF mass transfer coefficient is the largest source of uncertainty. Furthermore, the uncertainty analysis reveals that ignoring the effect of wall-channeling on apparent axial dispersion can cause significant error in the predicted breakthrough times of small-diameter beds.</div><div><br></div><div>In addition to LDF mass transfer coefficient and axial-dispersion, equilibrium isotherms are known to be strong lever arms and a potentially dominant source of model error. As such, detailed analysis of the equilibrium adsorption isotherms for zeolite 13X was conducted to improve the fidelity of CO₂ and H₂O on equilibrium isotherms compared to extant data. These two adsorbent/adsorbate pairs are of great interest as NASA plans to use zeolite 13X in the next generation atmospheric revitalization system. Equilibrium isotherms describe a sorbent’s maximum capacity at a given temperature and adsorbate (<i>e.g.</i>, CO₂ or H₂O) partial pressure. New isotherm data from NASA Ames Research Center and NASA Marshall Space Flight Center for CO₂ and H₂O adsorption on zeolite 13X are presented. These measurements were carefully collected to eliminate sources of bias in previous data from the literature, where incomplete activation resulted in a reduced capacity. Several models are fit to the new equilibrium isotherm data and recommendations of the best model fit are made. The best-fit isotherm models from this analysis are used in all subsequent modeling efforts discussed in this dissertation.</div><div><br></div><div>The last two chapters examine the limitations of the axially disperse plug-flow model for predicting breakthrough in confined geometries. When a bed of pellets is confined in a rigid container, packing heterogeneities near the wall lead to faster flow around the periphery of the bed (<i>i.e.</i>, wall channeling). Wall-channeling effects have long been considered negligible for beds which hold more than 20 pellets across; however, the present work shows that neglecting wall-channeling effects on dispersion can yield significant errors in model predictions. There is a fundamental gap in understanding the mechanisms which control wall-channeling driven dispersion. Furthermore, there is currently no way to predict wall channeling effects a priori or even to identify what systems will be impacted by it. This dissertation aims to fill this gap using both experimental measurements and simulations to identify mechanisms which cause the plug-flow assumption to fail.</div><div><br></div><div>First, experimental evidence of wall-channeling in beds, even at large bed-to-pellet diameter ratios (<i>d</i>_bed/<i>d</i>_p=48) is presented. These experiments are then used to validate a method for accurately extracting mass transfer coefficients from data affected by significant wall channeling. The relative magnitudes of wall-channeling effects are shown to be a function of the adsorption/adsorbate pair and geometric confinement (<i>i.e.</i>, bed size). Ultimately, the axially disperse plug-flow model fails to capture the physics of breakthrough when nonplug-flow conditions prevail in the bed.</div><div><br></div><div>The final chapter of this dissertation develops a two-dimensional (2-D) adsorption model to examine the interplay of wall-channeling and adsorption kinetics and the adsorbent equilibrium capacity on breakthrough in confined geometries. The 2-D model incorporates the effect of radial variations in porosity on the velocity profile and is shown to accurately capture the effect of wall-channeling on adsorption behavior. The 2-D model is validated against experimental data, and then used to investigate whether capacity or adsorption kinetics cause certain adsorbates to exhibit more significant radial variations in concentration compared than others. This work explains channeling effects can vary for different adsorbate and/or adsorbent pairs—even under otherwise identical conditions—and highlights the importance of considering adsorption kinetics in addition to the traditional <i>d</i>_bed/<i>d</i>_p criteria.</div><div><br></div><div>This dissertation investigates key gaps in our understanding of fixed-bed adsorption. It will deliver insight into how these missing pieces impact the accuracy of predictive models and provide a means for reconciling these errors. The culmination of this work will be an accurate, predictive model that assists in the simulation-based design of the next-generation atmospheric revitalization system for humans’ journey to Mars.</div>

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