The MH-2 science drill hole, on Mountain Home Air Force Base, Idaho, was drilled in 2012 to a total depth 1821 m as part of Project Hotspot. It encountered flowing artesian thermal water at 1,745 m below ground surface. This signature of a potential blind high temperature geothermal resource indicates that further analyses are needed to characterize the resource. Whole rock core was recovered to a total depth of 1821 m below ground surface and a suite of wireline logs collected. In this thesis I describe the lithologies represented in the core, correlate these lithologies to outcrop analogs, and identify and characterize petrophysical properties observable within the wireline logs, which represent fine-scale variations in stratigraphy, composition and/or alteration. The lithologies in the core are a series of basalts, brecciated and altered basalt, basaltic sands, carbonate-rich muds, and siliciclastic sediments. Basalt flows with evidence of increasing influence of an aqueous environment with time typify the lower half of core, whereas the upper half represents a period of diminished volcanism, lacustrine depositional environment, and a catastrophic water overflow event. The top of the core represents a resurgence of basaltic volcanism in the area. An overprint of brecciation at depth, fracturing, and secondary mineralization records the history of the geothermal system. All the elements of a relatively shallow and potentially energy generating geothermal resource are present at the MH-2 well location. These new data from the MH-2 borehole contributes to evaluating a parallel geothermal risk assessment of the Snake River Plain. Play fairway analysis was implemented for perhaps the first time in a geothermal regime. The Snake River Plain was divided up into three distinct play types; the area surrounding the Mountain Home Air Force Base was systematically identified as prospective. A region where sedimentary and altered rocks may create a seal, and blind faults create porosity in deep basalts.

A detailed laboratory study of sandstone samples from outcrops and conventional core samples from the Maastrichtian-Paleocene Scollard-age fluvial strata in the Western Canada foredeep was undertaken to investigate the reservoir characteristics, burial depth history, and sandstone diagenesis. The sandstones are predominantly litharenites and sublitharenites, which accumulated in a variety of fluvial environments. The porosity of the sandstones is both syn-depositional and diagenetic in origin. The potential of a sandstone to serve as a reservoir for producible hydrocarbons is strongly related to the sandstones diagenetic history. Detailed study of the distribution of authigenic minerals of the Scollard sequence suggests that the diversities in the pattern distribution of authigenic clay minerals in the regions are not random but they coincide with the burial depth of these strata and has a well-defined relation to the sequence stratigraphic framework The general absence of dickite, coupled with limited conversion of smectite into illite in the Scollard sandstones, suggests crystallization at a depth less than 1.5 km. In contrast, the occurrence of blocky dickite, fibrous illite and chlorite in the Coalspur and Willow Creek sandstones, coupled with albitized feldspars and quartz cement, suggests that sandstones there underwent a maximum burial depth greater than 3 km. It has been observed that kaolin mineral content increases in sandstones lying below subaerial unconformities, which mark the most significant stratigraphic hiatuses and hence the sequence boundaries in fully fluvial successions. This study demonstrates the effects of burial depth and paleoclimate on pore-water chemistry, which in turn, influenced the mineralogy and the distributions of authigenic minerals in the sandstones. The 13C and 18O compositions of pedogenic carbonate nodules from the Willow Creek Formation associated with the red shale host sediments have been used as a paleoclimate and paleoenvironmental proxy. The isotopic composition of nodules suggests that these formed during drier conditions when C3 vegetation prevailed at the site. The predominance of smectite and illite in fines and the poor floral content point to a low seasonal rainfall in a semi-arid climatic environment.

This study proposes a new, easily applied method to quantify uncertainty in production forecasts for a volumetric gas reservoir based on a material balance model (p/z vs. Gp). The new method uses only observed data and mismatches between regression values and observed values to identify the most probable value of gas reserves. The method also provides the range of probability of values of reserves from the minimum to the maximum likely value. The method is applicable even when only limited information is available from a field. Previous methods suggested in the literature require more information than our new method. Quantifying uncertainty in reserves estimation is becoming increasingly important in the petroleum industry. Many current investment opportunities in reservoir development require large investments, many in harsh exploration environments, with intensive technology requirements and possibly marginal investment indicators. Our method of quantifying uncertainty uses a priori information, which could come from different sources, typically from geological data, used to build a static or prior reservoir model. Additionally, we propose a method to determine the uncertainty in our reserves estimate at any stage in the life of the reservoir for which pressure-production data are available. We applied our method to San Juan reservoir at Santa Rosa Field, Venezuela. This field was ideal for this study because it is a volumetric reservoir for which the material balance method, the p/z vs. Gp plot, appears to be appropriate.

The Germania Unit is located in Midland County, 12 miles east of Midland, Texas and is part of the Spraberry Formation in the Midland Basin which is one of the largest known oil reservoirs in the world bearing between 8.9 billion barrels and 10.5 billion barrels of oil originally in place. The field is considered geologically complex since it comprises typically low porosity, low permeability fine sandstones, and siltstones that are interbedded with shaly non-reservoir rocks. Natural fractures existing over a regional area have long been known to dominate all aspects of performance in the Spraberry Trend Area. Two stages of depletion have taken place over 46 years of production: Primary production under solution gas drive and secondary recovery via water injection through two different injection patterns. The cumulative production and injection in Germania as of July 2003 were 3.24 million barrels and 3.44 million barrels respectively and the production level is 470 BOPD through 64 active wells with an average rate per well of 7.3 BOPD and average water cut of 60 percent. This performance is considered very low and along with the low amount of water injected, waterflood recovery has never been thoroughly understood. In this research, production and injection data were analyzed and integrated to optimize the reservoir management strategies for Germania Spraberry Unit. This study addresses reservoir characterization and monitoring of the waterflood project with the aim of proposing alternatives development, taking into account current and future conditions of the reservoir. Consequently, this project will be performed to provide a significant reservoir characterization in an uncharacterized area of Spraberry and evaluate the performance of the waterflooding to provide facts, information and knowledge to obtain the maximum economic recovery from this reservoir and finally understand waterflood management in Spraberry. Thus, this research describes the reservoir, and comprises the performance of the reservoir under waterflooding, and controlled surveillance to improve field performance. This research should serve as a guide for future work in reservoir simulation and reservoir management and can be used to evaluate various scenarios for additional development as well as to optimize the operating practices in the field. The results indicate that under the current conditions, a total of 1.410 million barrels of oil can be produced in the next 20 years through the 64 active wells and suggest that the unit can be successfully flooded with the current injection rate of 1600 BWPD and pattern consisting of 6 injection wells aligned about 36 degrees respect to the major fracture orientation. This incremental is based in both extrapolations and numerical simulation studies conducted in Spraberry.

Conjugated polymers are organic polymers that can conduct electricity. They undergo a volume change upon redox reaction and can be used as an active material in some micro- actuator system. Micro-actuators are useful in biomedical and electronic application. We have fabricated a patterned Polypyrrole (PPy) trilayer microactuator device that has individually addressable microactuators (a micro walker) which can operate in air. Furthermore, the PPy trilayer microactuator device is fabricated using standard microfabrication method called photolithography to pattern PPy on PVDF membrane material. An etching process was used to achieve the patterning process. We presented the result of characterization of speed as a function of voltage and thickness of PPy film. Secondly, distance as a function of applied voltage and thirdly, the work density as a function of applied voltage. The procedures for fabrication of PPy microactuator device, using clean room facility is detailed in this thesis.

Precision surface finishes are used in a wide variety of applications. From bearing races and rolling elements to parallel slide ways, the frictional characteristics of these surfaces are critical to the performance of the products. Experimental trial and error has shown that certain surfaces outperform others in certain applications, but the specific surface characteristics that make this true have yet to be fully understood. The research goal was to develop an apparatus that can test the coefficient of rolling/sliding friction of different precision machined surfaces and to combine this data with topographic analysis of the surfaces to correlate specific 3-D parameters with the frictional performance of a surface. The sample treatments consisted of four different surface textures (hard-turned, ground, honed and isotropic finish) and four different relative surface speeds. By monitoring the torque in the sample-mounting shaft under lubricated conditions the coefficient of rolling/sliding friction of each surface was found. Utilizing white light interferometry measurement of the surfaces, a highly detailed map of each surface was obtained. Using different characteristic values of each machined surface (RMS roughness, asperity density, lay direction, etc.), the frictional behavior of the surfaces were compared to the surface characteristics yielding insight into the relationship between surface finish and friction in rolling/sliding contact. Friction coefficient was found to correlate most strongly with RMS roughness (Sq) and density of surface summits (Sds). These parameters govern mechanical interference of asperities and surface adhesion respectively. These findings suggest that friction coefficients of surfaces could be optimized through manipulation of three-dimensional surface parameters.

The extracellular polymeric substances (EPS) of marine bacterium Sagittula stellata and soil bacterium Pseudomonas fluorescens Biovar II, were extracted by six methods referred to the bibliography, efficacies of which were compared based on the EPS yield, composition as well as cell disturbance. Purification methods on these EPS were also improved, which proved to be more cost-effective and involve less interference from broth, compared to previous methods. Size exclusion chromatography (SEC) proved to be a useful tool, providing the “fingerprints” of the EPS extracted by different methods or after each purification step. Studies of the EPS production and composition at different growth stages provided abundant information and a basis for further in-depth studies. Results from SEC demonstrated that bacterial EPS had a constant molecular weight distribution all through the life but with various polymers in different proportions. Three fractions were successfully isolated by a combination of SEC and anion exchange chromatography for “non-attched” EPS produced by Pseudomonas flurorescens Biovar II. Protein turned out to be a major component of EPS in their native states, which was mixed with the broth material and couldn’t be recognized previously. The EPS harvested at the optimal time of the bacterial life was purified according to the improved method and was more enriched in polysaccharides, with small amounts of proteins, giving the molecules amphiphilic properties. In addition, simultaneous determination of neutral sugars and uronic acids by GC-EI-MS provided more information on the monosaccharide composition of the exopolysaccharides. Isoelectric focusing (IEF) spectra of the bacterial EPS spiked with Pu/Th, and Pu-enriched Rocky Flats Environmental Technology Site (RFETS) soil organic colloid spiked with Th showed similar activity distributions of both actinides along the pH gradient, with the activities of both actinides focusing on the low pH region. Characterizations of this Pu-enriched IEF extract from RFETS soil by spectrophotometric methods and ATR-FTIR indicated the co-presence of lipids, proteins and polysaccharides, in contrast to the bacterial EPS, which showed a simpler composition. This suggests that Th/Pu binding to organic macromolecules is more determined by the availability of binding functional groups rather than the exact specific compounds.

This study proposes a new, easily applied method to quantify uncertainty in production forecasts for a volumetric gas reservoir based on a material balance model (p/z vs. Gp). The new method uses only observed data and mismatches between regression values and observed values to identify the most probable value of gas reserves. The method also provides the range of probability of values of reserves from the minimum to the maximum likely value. The method is applicable even when only limited information is available from a field. Previous methods suggested in the literature require more information than our new method. Quantifying uncertainty in reserves estimation is becoming increasingly important in the petroleum industry. Many current investment opportunities in reservoir development require large investments, many in harsh exploration environments, with intensive technology requirements and possibly marginal investment indicators. Our method of quantifying uncertainty uses a priori information, which could come from different sources, typically from geological data, used to build a static or prior reservoir model. Additionally, we propose a method to determine the uncertainty in our reserves estimate at any stage in the life of the reservoir for which pressure-production data are available. We applied our method to San Juan reservoir at Santa Rosa Field, Venezuela. This field was ideal for this study because it is a volumetric reservoir for which the material balance method, the p/z vs. Gp plot, appears to be appropriate.

The Germania Unit is located in Midland County, 12 miles east of Midland, Texas and is part of the Spraberry Formation in the Midland Basin which is one of the largest known oil reservoirs in the world bearing between 8.9 billion barrels and 10.5 billion barrels of oil originally in place. The field is considered geologically complex since it comprises typically low porosity, low permeability fine sandstones, and siltstones that are interbedded with shaly non-reservoir rocks. Natural fractures existing over a regional area have long been known to dominate all aspects of performance in the Spraberry Trend Area. Two stages of depletion have taken place over 46 years of production: Primary production under solution gas drive and secondary recovery via water injection through two different injection patterns. The cumulative production and injection in Germania as of July 2003 were 3.24 million barrels and 3.44 million barrels respectively and the production level is 470 BOPD through 64 active wells with an average rate per well of 7.3 BOPD and average water cut of 60 percent. This performance is considered very low and along with the low amount of water injected, waterflood recovery has never been thoroughly understood. In this research, production and injection data were analyzed and integrated to optimize the reservoir management strategies for Germania Spraberry Unit. This study addresses reservoir characterization and monitoring of the waterflood project with the aim of proposing alternatives development, taking into account current and future conditions of the reservoir. Consequently, this project will be performed to provide a significant reservoir characterization in an uncharacterized area of Spraberry and evaluate the performance of the waterflooding to provide facts, information and knowledge to obtain the maximum economic recovery from this reservoir and finally understand waterflood management in Spraberry. Thus, this research describes the reservoir, and comprises the performance of the reservoir under waterflooding, and controlled surveillance to improve field performance. This research should serve as a guide for future work in reservoir simulation and reservoir management and can be used to evaluate various scenarios for additional development as well as to optimize the operating practices in the field. The results indicate that under the current conditions, a total of 1.410 million barrels of oil can be produced in the next 20 years through the 64 active wells and suggest that the unit can be successfully flooded with the current injection rate of 1600 BWPD and pattern consisting of 6 injection wells aligned about 36 degrees respect to the major fracture orientation. This incremental is based in both extrapolations and numerical simulation studies conducted in Spraberry.

In the quest for production optimization from established resources, there is a continual interest in secondary and tertiary recovery methods. The success of these enhanced recovery methods, however, rely to a large extent on a sound understanding of fluid dynamics and migration paths in the reservoir. To this end, several approaches to reservoir characterization have been put to test with varying degrees of success. The unique ability of tracers to provide direct information on preferential fluid flow paths in the reservoir, and the sensitivity of partitioning tracers to fluid saturation distribution has highlighted the prospects of a detailed reservoir characterization through interwell tracer tests. In a broad sense, analysis of interwell tracer tests fall into two categories, analytical and inverse modeling. While most of the analytical methods are laden with limiting assumptions, the method of moments boasts rigorous formulation and accurate estimates of swept volume and average saturation of bypassed oil. The inverse modeling infers permeability and saturation distribution by matching the tracer response. An extremely effective approach to the inverse modeling methods computes sensitivities based on streamlines. The accurate modeling of tracer flow requires accounting for complex phenomena such as transverse dispersion. Also, it is sometimes desired to model pertinent tracer components through compositional simulation. This necessitates the inclusion of a physical dispersion tensor and, hence, the well established finite difference formulation. In this work, we have coupled the finite difference and streamline simulation techniques for the inversion-based reservoir characterization to take advantage of the robustness of the finite difference formulation and computational efficiency of streamline simulation. We have also extended the formalism of the inversion technique for fluid distribution estimation to scenarios with mobile oil saturations and have attempted integrating the analytical and inverse-modeling techniques to facilitate detailed reservoir characterization. We have demonstrated the feasibility of our approach on both synthetic and field cases.