Engineering: Recent submissions
Now showing items 41-60 of 520
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Theory, design, and development of an open-source 3D printed peristaltic pump for microfluidics applicationsMicrofluidics research is a constantly evolving and developing field of research in the biological, chemical, and medical sciences. To perform microfluidic analyses, various types of pump designs have been developed or optimized. These pumps are generally capable of pumping flow in the range of 0.1-100s of microliters (µL) per minute, with the goal of pumping fluid with an extremely consistent flow rate. These pumps include, but are not limited to, peristaltic, syringe, membrane, and lobe pumps. Both commercial and open-source designs have been developed to meet the needs of continued research. Commercial designs are very expensive, but offer limited flexibility to tailor the usage for custom assays. Open-source designs that have been presented may lack support, or may be designed to use fabrication technologies that are less commonly available than conventional desktop 3D printing. Due to this, many laboratories may be limited in their microfluidic research work due to either availability of commercial pumps, or usability of open-source pump designs. This work presents two iterations of a novel design for a 3D-printable microfluidic peristaltic pump. The pumps developed herein have been tested to demonstrate consistent performance operating over long-term periods of up to ten days continuously. These pumps have been tested to demonstrate capability of delivering aqueous flow as slow as flow ranges of 10s of µL/min. These pumps are capable of maintaining an outlet pressure of up to 220 kilopascals (kPa). In a tube of 1 mm inner diameter, this pressure would drive a flow rate of 10 µL/min through tubing up to 6.6 meters long. Finally, this design has been optimized to improve the user experience and make these peristaltic pumps both easy to maintain and easy to operate by a non-technical user.
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Technical and economic evaluation of the first ever polymer flood field pilot to enhance the recovery of heavy oils on Alaska's North Slope via machine assisted reservoir simulationPolymer flooding has become globally established as a potential enhanced oil recovery method for heavy oils. To determine whether this technology may be useful in developing the substantial heavy oil resources on the Alaska North Slope, a polymer flood field pilot commenced at the Milne Point Unit in August 2018. This study seeks to evaluate the results of the field pilot on a technical and economic basis. A reservoir simulation model is constructed and calibrated to predict the oil recovery performance of the pilot through machine-assisted reservoir simulation techniques. To replicate the early water breakthrough observed during waterflooding, transmissibility contrasts are introduced into the simulation model, forcing viscous fingering effects. In the ensuing polymer flood, these transmissibility contrasts are reduced to replicate the restoration of injection conformance during polymer flooding. Transmissibility contrasts are later reinstated to replicate fracture overextension interpreted in one of the producing wells. The calibrated simulation models produced at each stage of the history matching process are used to forecast oil recovery. These forecasts are used as input for economic analysis, incremental to waterflooding expectations. The simulation forecasts indicate that polymer flooding significantly increases the heavy oil production for this field pilot compared to waterflooding alone, yielding attractive project economics. However, meaningful variations between simulation scenarios demonstrate that a simulation model is only valid for prediction if flow behavior in the reservoir remains consistent with that observed during the history matched period. Critically, this means that a simulation model calibrated for waterflooding may not fully capture the technical and economic benefits of an enhanced oil recovery process such as polymer flooding. Subsequently, the simulation model and economic model are used in conjunction to conduct a sensitivity analysis for polymer flood design parameters, from which recommendations are provided for both the continued operation of the current field pilot and future polymer flood designs. The results demonstrate that a higher polymer concentration can be injected due to the development of fractures in the reservoir. The throughput rate should remain high without exceeding operating constraints. A calculated point-forward polymer utilization parameter demonstrates the decreasing efficiency of the polymer flood at later times in the pattern life. Future projects will benefit from starting polymer injection earlier in the pattern life. A pattern with tighter horizontal well spacing will observe a greater incremental benefit from polymer flooding.
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Application of probabilistic decline curve analysis to unconventional reservoirsThis work presents the various probabilistic methodology for forecasting petroleum production in shale reservoirs. Two statistical methods are investigated, Bayesian and frequentist, combined with various decline curve deterministic models. A robust analysis of well-completion properties and how they affect the production forecast is carried out. Lastly, a look into the uncertainties introduced by the statistical methods and the decline curve models are investigated to discover any correlation and plays that otherwise would not be apparent. We investigated two Bayesian methods - Absolute Bayesian Computation (ABC) and GIBBS sampler - and two frequentist methods - Conventional Bootstrap (BS) and Modified Bootstrap (MBS). We combined these statistical methods with five empirical models - Arps, Duong, Power Law Model (PLE), Logistic Growth Model (LGA), and Stretched Exponential Decline Model (SEPD) - and an analytical Jacobi 2 theta model. This allowed us to make a robust comparison of all these approaches on various unconventional plays across the United States, including Permian, Marcellus, Eagle Ford, Haynesville, Barnett, and Bakken shale, to get detailed insight on how to forecast production with minimal prediction errors effectively. Analysis was carried out on a total of 1800 wells with varying production history data lengths ranging from 12 to 60 months on a 12-month increment and a total production length of 96 months. We developed a novel approach for developing and integrating informative model parameter priors into the Bayesian statistical methods. Previous work assumed a uniform distribution for model parameter priors, which was inaccurate and negatively impacted forecasting performance. Our results show the significant superior performance of the Bayesian methods, most notably at early hindcast size (12 to 24 months production history). Furthermore, we discovered that production history length was the most critical factor in production forecasting that leveled the performance of all probabilistic methods regardless of the decline curve model or statistical methodology implemented. The novelty of this work relies on the development of informative priors for the Bayesian methodologies and the robust combination of statistical methods and model combination studied on a wide variety of shale plays. In addition, the whole methodology was automated in a programming language and can be easily reproduced and used to make production forecasts accurately.
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An analysis of turbulent effects on hydrokinetic power generationThe effects of turbulence on power generation from a Current Energy Converter (CEC) are not fully understood. This thesis investigates the correlation between a vertical axis CEC's power output and the water velocity in the frequency and time domains. Chapter 2 shows the correlation between velocity and electrical power in frequency space. This correlation gives insight into the size of eddies that influence the CEC's power output. The results of this correlation analysis show that eddies of diameter around 0.8m have a noticeable impact on the power generation. Calculating the observed average integral length scale, the range of eddy diameters around the CEC are 0.52m-5.8m. Since 0.8m is in this observed range it suggests that the turbulence may influence the CEC's power output. Chapter 3 analyzes the relationship between the turbulence velocity cubed and electrical power through the correlation of the two data sets. The correlation was carried out by first separating out the four velocity components derived from cubing the sum of the turbulence and average velocities. The commonly used ratio of the turbulence kinetic energy to total kinetic energy does not include these cross terms nor are these cross terms typically included in the calculation of power derived from the turbulence velocity. The turbulence velocity cubed has a correlation of -0.007 with the CEC power output indicating that the turbulence has a small, negative impact on the CEC power output.
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History matching and prediction of a polymer flood pilot in heavy oil reservoir on Alaska North SlopeThe first-ever polymer flood pilot to enhance heavy oil recovery on Alaska North Slope is ongoing. After more than 3 years of polymer injection, significant benefit has been observed from the decrease in water cut from 65% to less than 15% in the project producers. The primary objective of this study is to develop a robust history-matched reservoir simulation model capable of predicting future polymer flood performance. In this work, the reservoir simulation model has been developed based on the geological model and available reservoir and fluid data. In particular, four high transmissibility strips were introduced to connect the injector-producer well pairs, simulating short-circuiting flow behavior that can be explained by viscous fingering and reproducing the water cut history. The strip transmissibilities were manually tuned to improve the history matching results during the waterflooding and polymer flooding periods, respectively. It has been found that higher strip transmissibilities match the sharp water cut increase very well in the waterflooding period. Then the strip transmissibilities need to be reduced with time to match the significant water cut reduction. The viscous fingering effect in the reservoir during waterflooding and the restoration of injection conformance during polymer flooding have been effectively represented. Based on the validated simulation model, numerical simulation tests have been conducted to investigate the oil recovery performance under different development strategies, with consideration for sensitivity to polymer parameter uncertainties. The oil recovery factor with polymer flooding can reach about 39% in 30 years, twice as much as forecasted with continued waterflooding. Besides, the updated reservoir model has been successfully employed to forecast polymer utilization, a valuable parameter to evaluate the pilot test's economic efficiency. All the investigated development strategies indicate polymer utilization lower than 3.5 lbs/bbl in 30 years, which is less than that of the same polymer used in a polymer pilot in Argentina.
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Conceptual design of two tiltrotor aircraft for urban air mobilityThere has been an abundance of new and novel aircraft designs created for Urban Air Mobility (UAM) in recent years. The National Aeronautics and Space Administration (NASA) contributes to the research and development of this industry in part by applying its aircraft design tools to create conceptual designs of UAM reference vehicles. The vehicles are intended to quantify the tradeoffs and performance capabilities necessary for VTOL (vertical takeoff and landing) aircraft in the UAM design space. The reference vehicles represent a variety of configurations that seek to encompass many of the design characteristics suitable for UAM. This thesis focuses on the conceptual design process of two new NASA reference vehicles. Both aircraft are configured as conventional tiltrotors, but one is powered by turboshaft engines, and one is fully electric. The sizing and performance of the two aircraft are discussed, as well as how the performance and characteristics compare to a selection of other NASA reference vehicles. It is found that the tiltrotor configuration is capable of reaching speeds 43% to 51% faster than the other turboshaft designs, and 63% to 106% faster than the other electric designs. The increased speed leads to a 24% to 42% decrease in overall mission time. With this speed increase comes moderate tradeoffs in areas including weight and installed power.
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Application of vortex tubes in an underground mine ventilation systemA major challenge for deep underground mines in tropical regions is high-temperature climate conditions at a working face. The high-temperature conditions can cause discomfort to people working underground and lead to health and safety issues. In some instances, airflow from primary ventilation and central refrigeration systems is not adequate to reduce the ambient temperature below a permissible limit at remotely located working faces. In some mines, mobile cooling systems are used in conjunction with an existing central cooling system. However, mining companies are often skeptical about implementing the combined cooling system due to its high operating costs involved with refrigeration infrastructure. This research examines the potential of a low-cost, maintenance-free vortex tube spot cooling system that operates on compressed air and can work with or without a central cooling system. Using an underground metal mine in Ghana as a case study, the impact of a vortex tube cooling system at a working face was evaluated using the computational fluid dynamics (CFD) technique. An integrated CFD model of vortex tube, ventilation duct, and development heading was developed. The airflow was simulated within the CFD model with a varying number of vortex tubes and locations. The simulation result shows that the mine can achieve a decent temperature drop from 28°C (82.4°F) to 24°C (75.2°F) with 20 vortex tubes at the working face.
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Carbon dioxide enhanced oil recovery and sequestration in the Orion Oil Field in the North Slope region of AlaskaCarbon dioxide flooding in viscous oil systems has been proven to improve oil recovery and store CO₂ in several geologic basins worldwide. With global energy steadily transitioning towards decarbonization, CO₂-EOR and Sequestration can reduce the carbon footprint from crude oil production. Although well accepted globally, the potential of improved oil recovery and CO₂ storage capacity has not been extensively studied in Alaska. Since the CO₂ injection process involves phase transition, reservoir simulation becomes more complex. It requires reliable techniques to estimate the ultimate recovery factor, oil production rate, and CO₂ storage volumes precisely. This study focuses on carbon dioxide enhanced oil recovery (CO₂-EOR) and storage in the Orion satellite field of Alaska, its ability to reduce greenhouse gases, and the technical and economic feasibility of a CO₂ flooding project. In this study, the Peng-Robinson equation of state is tuned to model fluid behavior from the respective sands accurately. Core flooding results from the Orion Oil Pool in the Schrader Bluff Formation provided the basis for developing relative permeability curves for the various layers in the geological model. The geological model was then coupled with the developed fluid model and introduced into a compositional simulator capable of handling the heterogeneous complexity to simulate CO₂ injection. Simulations suggested that the CO₂ gas injection is partially miscible in the Orion reservoir at pressures close to the average initial reservoir pressure. Consequently, CO₂ mixes with oil in the reservoir, reduces oil viscosity, increases oil mobility, and improves oil recovery. Different simulation scenarios were considered and compared, including the effects of fluid injection mixtures on oil recovery, well trajectory effects, and production bottom hole pressure effects on oil recovery. A considerable volume of injected CO₂ is expected to be sequestered in the reservoir, for which economic analysis is conducted for tax credit purposes. The results show that 40% Enriched CO₂ injection achieved the highest oil recovery, which highlights the importance of selecting the appropriate injector and producer well trajectory. This work provides insights into the optimum CO₂ gas flooding controlling parameters for incremental oil production through sensitivity analysis. The study's novelty is further expanded by quantifying the potential of CO₂ sequestration in each layer of the Orion oil field.
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Determination of minimum miscibility pressure using vanishing interfacial tension in support of Alaska North Slope heavy oil development"Developing Alaskan heavy oils resources has become necessary as, the production from light oil fields in Alaska's North Slope (ANS) is on the decline. Due to the extremely viscous nature of these heavy oils, they are hard to produce by natural pressure. Miscible gas injection Enhanced Oil Recovery (EOR) can be one of the methods for production of these heavy oils. Minimum miscibility pressure (MMP) is an important optimization parameter for EOR processes involving CO₂ or hydrocarbon gas injection. The MMP for a gas-oil system is directly related to the interfacial tension between the injected gas and the reservoir crude oil. In this study, a new technique called Vanishing Interfacial Tension (VIT) was used to measure MMP at reservoir conditions. Experiments were conducted using various gas-oil systems to determine the MMP. The experimental results were modeled using the Peng-Robinson Equation-of-State (EOS) with a commercial simulator (CMG). The Peng-Robinson EOS was tuned with experimental data to predict the MMP accurately. This study has demonstrated the accuracy of the VIT technique in predicting MMP by pendant drop method experiments and simulations using CMG software."--Leaf iii
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An engineering study to investigate the methane hydrate resource potential associated with the Barrow gas fields in Alaska"Previous studies on the Barrow Gas Fields (BGF) in Alaska have suggested that accumulations of natural gas hydrates could exist within these reservoirs. In consideration of future energy challenges, and the potential of gas hydrates in meeting them, a comprehensive engineering study was undertaken to investigate the BGF for hydrates, and to recommend an optimal plan for future field development. The methane hydrate resource potential of the BGF, viz. the East Barrow (EB), South Barrow (SB), and Walakpa (WAL) gas pools, was analyzed by developing gas hydrate stability models. Material balance studies were performed on the EB gas field to understand the reservoir drive mechanisms. Gas-water relative permeability experiments were conducted on a hydrate-saturated consolidated core sample, by maintaining the EB reservoir conditions, to model two-phase fluid flow behavior. Finally, field-scale dynamic reservoir simulation models were developed for the EB and WAL gas fields. Production history data were matched, reservoir drive mechanisms were confirmed, free gas and hydrate resources were quantified, hydrate dissociation patterns were examined, optimum locations for drilling infill wells were identified, and future production scenarios were simulated. Findings from this work indicate that BGF are associated with hydrates that are constantly recharging the gas reservoir by dissociation"--Leaf iii
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Measurement of rheological and thermal properties and the freeze-thaw characteristics of nanofluids"This research investigates the rheological and thermal properties and the freeze-thaw characteristics of nanofluids. Nanofluids are dispersions of nano-scale particles (<100 nm) in a base fluid such as water, ethylene glycol, propylene glycol or a mixture of more than one fluid. In cold regions, a mixture of 60% ethylene glycol in water by mass (60:40 EG/W) is normally used as the heat transfer fluid due to its low freezing point. Rheological properties of aluminum oxide nanofluid in the 60:40 EG/W base fluid were investigated and new correlations, expressing viscosity as a function of temperature and particle concentration, were developed. Results from the specific heat experiments on zinc oxide nanofluid in the 60:40 EG/W were compared with available correlations and a new model was developed. The thermal conductivity of silicon dioxide nanofluid in a 60:40 EG/W was measured and compared with existing models, considering the Brownian motion of nanoparticles. A new correlation, expressing thermal conductivity as a function of particle concentration, size, base fluid properties and temperature, was proposed by improving an existing model. Freeze-thaw characteristics of copper oxide nanoparticle dispersions in water were studied for a single freeze-thaw cycle. The freezing rate, agglomeration of nanoparticles and the effect on the freezing point of nanofluid were examined"--Leaf iii
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Comparative and sensitivity study of the effects of flow parameters on pressure drop in vertical tubing"Two-phase gas-liquid flow occurs in vertical pipes during the production of reservoir fluids. The two most common flow patterns that are observed during oil production are the Bubble and Slug flows. Determination of pressure drop in two-phase flow is more complicated than single-phase flow because two fluids with different densities flow in the tubing at different velocities. Using two multiphase correlations (Hagedorn and Brown, and Duns and Ros), the effect of fluid properties variation at different flow conditions on pressure drop were studied. Fluid data developed with correlations and West Sak fluid data were used for the analysis. Plots showing the relationship between pressure drop and different fluid properties were made. From the analysis, it was concluded that oil density, oil viscosity and oil flow rate are the three factors that influence pressure drop in vertical pipes the most. The Hagedorn and Brown correlation was shown to be able to compute pressure drop for high-viscosity oil"--Leaf iii
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Modeling discharge using HBV in the Imnavait Basin, North Slope, Alaska"The Arctic fresh water hydrological cycle is dominated by the melting of the seasonal snow cover and scattered precipitation events during the summer months. Predicting and characterizing potential hydrological response is an important component for engineering infrastructure for the appropriate climatic conditions. A semi-distributed Swedish conceptual model, HBV, has been applied to the Imnavait basin, located in the headwaters of the Kuparuk River on the North Slope of Alaska, to examine runoff during spring and summer months. The methodology began by analyzing the long-term climatic records of the Imnavait basin from 1986 to present. Initial calibration work was completed in both spring and summer periods using the Monte Carlo technique; one set from each period was selected and used in the complete version of HBV. The model was recalibrated from 1988 to 2002 and then validated against the 2003 to 2008 time frame. The overall model performance was adequate for engineering purposes, with the best results when the input precipitation was accurate in terms of timing and magnitude. Differences between observed and modeled results included the impact of snow-damming and evaporation during the spring, while convective storms and melting of basal ice in the active layer distorted the summer period"--Leaf iii
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Heat transfer performance of nanofluids in facility heating applications"Nanofluids are a class of fluids comprised of a base fluid with nanoparticles in a colloidal suspension. These fluids have been shown to exhibit substantially higher thermal conductivity than their corresponding base fluids. Investigation is required to determine if this property may be exploited for the purpose of improving the performance of systems employing liquid heat transfer. Detailed analyses of CuO/60% ethylene glycol and Al₂O₃/60% ethylene glycol nanofluids' heat transfer properties were conducted to determine if they provide a net benefit in commercial facility heating systems. The analyses employed previously developed correlations for nanofluid thermophysical, fluid dynamic and heat transfer properties. Computational models were also developed to characterize the performance of hydronic finned tube heaters and air heating coils with nanofluids, and to compare the nanofluids' performance with that of their base fluids. Several aspects of heat transfer performance were analyzed including heating output, frictional pressure loss, and associated pumping power. These data are analyzed to determine if the selected nanofluids can improve heating output, reduce required liquid pumping power or reduce the size of heating equipment. The analyses predict that the nanofluids examined exhibit superior heat transfer performance to that of the base fluids under certain conditions"--Leaf iii
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Modeling of road surface condition data for the prediction of road icing"Road icing is a common problem in cold regions, such as Alaska, where it poses serious threat to drivers and result in the disruption of transportation facilities. Road surface temperature (RST) is considered as the most crucial factor for icing conditions. The objective of this research is to predict RST in Multiple Linear Regression (MLR) and three-layer back propagated Neural Network (NN) models using an optimum number of input variables (air temperature, dew point, relative humidity, wind gust, wind speed average, wind gust and wind directions). The data were analyzed using both randomized and chronological schemes. The results obtained from different models were compared to find the most suitable model for predicting RST. The performance of both MLR and NN models were very comparable. Therefore, in the interest of reducing modeling complexity the MLR models could be preferred instead of the complex neural network models for the aimed accuracy levels in RST prediction. It was also observed that models developed on the chronological data provided better prediction accuracy as compared to models developed on the randomized data indicating RST should probably be predicted from models that honor the time sequence"--Leaf iii
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Low salinity cyclic water injection for enhanced oil recovery in Alaska North Slope"Properties and flow pattern of injected water have an impact on properties like rock wettability and oil saturation. Researchers have observed increased oil recovery with low salinity brines and reduced water production with cyclic injection. Low salinity cyclic water injection is an interesting combination to be evaluated for further implementation. Two-phase water-oil flow experiments were conducted on cleaned and oil-aged sandstone cores in a core holder apparatus. At connate water saturation, modified Amott-Harvey tests were performed to study wettability. Cyclic waterfloods were conducted to recover oil. Residual oil saturation (Sor) was calculated after every step. The experiments were repeated with reconstituted brines of different salinity and Alaska North Slope (ANS) lake water. The effect of low salinity waterfloods and oil-aging on wettability alteration was studied. The results were compared with available data from conventional floods performed on the same cores. Cyclic floods were also tested for different pulse intervals. Conventional waterflooding was conducted on recombined oil-saturated cores at reservoir conditions. Faster reduction in Sor and additional oil recovery was observed consistently with low salinity cyclic injection. Oil-aging reduced water wetness of cores. Subsequent low salinity floods restored the water wetness marginally. Shorter pulses yielded better results than longer intervals"--Leaf iii
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Reservoir simulation study on Schrader Bluff polymer flood"The objective of this research project was to study the benefit of polymer flood in the Schrader Bluff reservoir on the North Slope of Alaska. This multi-billion-barrel reservoir has been water flooded for 11 years. Due to the unfavorable mobility ratio, the expected ultimate recovery factor for water flood is low, opening up great opportunities for enhanced oil recovery (EOR). Polymer flood is expected to improve the unfavorable water/oil mobility ratio which has lead to unstable displacement and poor sweep efficiency currently being observed in the reservoir. To determine if polymer flood would enhance oil recovery in the Schrader Bluff reservoir, related publications were reviewed. A fine grid reservoir simulation model was constructed and history- matched. This reservoir model was then used to evaluate polymer flood in the Schrader Bluff reservoir. Parameters expected to impact the polymer flood performance were also investigated, including polymer viscosity, shear rate and injection timing. This study concluded that polymer flood could be an effective EOR process in the Schrader Bluff viscous oil reservoir"--Leaf iii
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Persistence and vertical movement of 2,4-dichlorophenoxyacetic acid in two subarctic soils"The persistence of 2,4-dichlorophenoxyacetic acid (2,4-D) was studied in soils from two sub-arctic regions of Alaska. Study sites were established in Delta Junction, where the climate is cold and dry, and Valdez, a more temperate and humid climate. Soil samples were collected from three depth ranges (0-7.6 cm, 10-30 cm, and 36-60 cm) for roughly 360 days following the application of 2,4-D iso-octyl ester at both study sites. 2,4-D was extracted from the soil samples and analyzed using a gas chromatograph and mass selection detector (GC/MSD). Both study sites saw vertical movement of the herbicide, with 2,4-D concentrations detected to a depth of 60 cm in the soil column. The half-life calculated for the Delta Junction site during the growing season was comparable to those observed in studies conducted in temperate climates. However, 2,4-D exhibited longer persistence times at both study sites than the persistence observed in studies conducted in temperate climates, with 2,4-D concentrations present in surface soils one year after application"--Leaf iii
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Permeability characterization of Schrader Bluff Sands using artificial neural networks"Permeability is a fundamental and often difficult to predict property of any reservoir. This is especially true for unconsolidated formations where any type of physical permeability measurement is difficult. This study develops a more detailed picture of reservoir permeability by generating continuous predicted permeability logs for the Schrader Bluff sands. Schrader Bluff sands are a medium heavy oil reservoir currently produced from the Milne Point oil field on the Alaska North Slope (ANS). A total of about 400 ft of core samples from two Milne Point wells were analyzed using a probe permeameter. These data were then integrated with available permeability data and used along with electric well log data for training an Artificial Neural Network to obtain continuous predicted permeability logs. The predicted data were then used to make Modified Lorenz Plots to study the flow unit behavior and to identify possible flow units. A similar dual approach that includes both probe permeameter measured and predicted permeability data can be used for flow unit characterization in other reservoirs with deficient permeability datasets. This approach would be especially useful for permeability characterization of unconsolidated or semiconsolidated reservoirs"--Leaf iii
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Analysis of wind-diesel hybrid option in Buckland, Deering and Noorvik villages of Alaska"The high cost of energy in remote off-grid villages of Alaska is a major concern for Alaska. The primary cause is due the relatively high cost of fuel transportation to the remote villages. A hybrid technology of wind power combined with diesel power is one option for reducing costs. The wind-diesel hybrid technology has already been implemented successfully in some remote villages; however this technology is not yet mature and presents many site-specific considerations. This thesis presents a techno-economic feasibility analysis for three villages currently considering implementing wind-diesel technology. The analysis was principally performed using HOMER, an energy modeling software tool. HOMER was used to perform an optimization and sensitivity analysis of wind-diesel hybrid systems for Buckland, Deering and Noorvik villages in Alaska. HOMER uses the hourly wind speed and electric load data from the villages, and performs an energy balance analysis to optimize the equipments sizes and system design based on the minimum life cycle cost. Based on input specifications used, the results obtained indicate that a high-penetration system is optimum for Noorvik, a medium or low-penetration system is optimum for Derring, and none of the wind-diesel systems investigated here would reduce the cost of energy in Buckland"--Leaf iii