Recent efforts to optimize oil recovery from Green River reservoirs, Uinta Basin, have stimulated the need for better understanding of the reservoir connectivity at the scale of the operational unit. This study focuses on Green River reservoirs in the Wells Draw study area where oil production response to implemented waterflood is poor and a better understanding of the reservoir connectivity is required to enhance future secondary oil recovery. Correlating the sand bodies between well locations in the area remains difficult at 40-acre well spacing. Thus, interwell connectivity of the reservoirs is uncertain. Understanding the reservoir connectivity in the Wells Draw study area requires integration of all static and dynamic data for generation of probabilistic models of the reservoir at the interwell locations. The objective of this study is two-fold. The first objective was to determine reservoir connectivity at the interwell scale in the Wells Draw study area. To achieve this goal, I used well log and perforation data in the Wells Draw study area to produce probabilistic models of net-porosity for four producing intervals: (1) Castle Peak, (2) Lower Douglas Creek, (3) Upper Douglas Creek, and (4) Garden Gulch. The second objective was to find readily applicable methods for determining interwell connectivity. To achieve this goal, I used sandstone net thickness and perforation data to evaluate interwell connectivity in the Wells Draw study area. This evaluation was done to: (1) assess and visualize connectivity, (2) provide an assessment of connectivity for validating / calibrating percolation and capacitance based methods, and (3) determine flow barriers for simulation. The probabilistic models encompass the four producing intervals with a gross thickness of 1,900 ft and enable simulation assessments of different development strategies for optimization of oil recovery in the Wells Draw study area. The method developed for determining interwell connectivity in Wells Draw study area is reliable and suited to the four producing intervals. Also, this study shows that the percolation based method is reliable for determining interwell connectivity in the four producing intervals.

Recent efforts to optimize oil recovery from Green River reservoirs, Uinta Basin, have stimulated the need for better understanding of the reservoir connectivity at the scale of the operational unit. This study focuses on Green River reservoirs in the Wells Draw study area where oil production response to implemented waterflood is poor and a better understanding of the reservoir connectivity is required to enhance future secondary oil recovery. Correlating the sand bodies between well locations in the area remains difficult at 40-acre well spacing. Thus, interwell connectivity of the reservoirs is uncertain. Understanding the reservoir connectivity in the Wells Draw study area requires integration of all static and dynamic data for generation of probabilistic models of the reservoir at the interwell locations. The objective of this study is two-fold. The first objective was to determine reservoir connectivity at the interwell scale in the Wells Draw study area. To achieve this goal, I used well log and perforation data in the Wells Draw study area to produce probabilistic models of net-porosity for four producing intervals: (1) Castle Peak, (2) Lower Douglas Creek, (3) Upper Douglas Creek, and (4) Garden Gulch. The second objective was to find readily applicable methods for determining interwell connectivity. To achieve this goal, I used sandstone net thickness and perforation data to evaluate interwell connectivity in the Wells Draw study area. This evaluation was done to: (1) assess and visualize connectivity, (2) provide an assessment of connectivity for validating / calibrating percolation and capacitance based methods, and (3) determine flow barriers for simulation. The probabilistic models encompass the four producing intervals with a gross thickness of 1,900 ft and enable simulation assessments of different development strategies for optimization of oil recovery in the Wells Draw study area. The method developed for determining interwell connectivity in Wells Draw study area is reliable and suited to the four producing intervals. Also, this study shows that the percolation based method is reliable for determining interwell connectivity in the four producing intervals.

Challenges associated with ensuring the accuracy and reliability of cost estimation of highway bid items, especially during the conceptual phase of a project, are of significant interest to state highway agencies. Even with the existing research undertaken on the subject, the problem of inaccurate estimation of highway bid items still exists. A systematic literature review was performed to determine research trends, identify, categorize the factors influencing highway unit prices, and assess the performance of conceptual cost prediction models. This research proposes a geographic information system (GIS)?based methodology that leverages vast historical bid data for unit-price estimation and the robust GIS capabilities with consideration of the effects of project-specific location and variations due to cost escalation on different bid items. A comparison of the three spatial interpolation techniques operationalized in this research revealed that disjunctive and empirical Bayesian kriging models led to more accurate cost prediction than ordinary kriging algorithms.

Through a discipline termed “comparative sedimentology”, modern carbonate depositional environments have been used extensively as analogs to aid in the interpretation of equivalent fossil systems. Using field samples, GIS and remote sensing data for three isolated carbonate platforms in the Pacific, this thesis seeks to examine relationships between grain texture and grain type and their environment of deposition. The motivation is to highlight relationships that have the potential to better understand facies relations on carbonate platforms, and thereby reduce uncertainty and increase accuracy of subsurface exploration. The results of this study show that on Raivavae, Tubuai, and Bora Bora: French Polynesia grain texture and type of collected sediment samples could be used to predict water depth and relative distance lagoonward from the reef rim with ≥ 73% and ≥ 67% accuracy, respectively. The predictive relationships; however, were largely site specific. The exception being that the same relationship between water depth and the abundance of mud and coral could be used on both Raivavae (accuracy = 81%) and Tubuai (accuracy = 78%). Additionally, the abundance of coral and Halimeda in sediment samples were able to classify samples as belonging to either the platform margin or platform interior environments on Raivavae, Tubuai, and Bora Bora with 75%, 65%, and 65% accuracy, respectively. Overall, the results of this study suggest that the abundance of coral holds potential to be utilized as a proxy for distance from the reef rim on modern and ancient isolated carbonate platforms dating back to the Miocene geological epoch.

No description available.

No description available.

This study involved a regional hydrogeological assessment of the Comox Coalfield on Vancouver Island, British Columbia. Two site-specific geological and hydrogeological investigations were conducted. The first involved generating a 2.5 dimensional hydrostratigraphic model of part of the Quadra Sand Comox-Merville Aquifer using lithology information from 196 drilled domestic-use groundwater wells. Well logs were standardized with respect to lithologic and hydraulic characteristics. Contact surfaces were created for identifiable hydrostratigraphic units employing an iterative geostatistical interpolation process that incorporated contact points from well logs and interpreted points based on the regional hydrogeology. Modeled hydrostratigraphic surfaces were compared to logged contacts and to exposures at Willemar and Lazo bluffs at Comox. Six lithostratigraphic units were identified in the coastal exposures. Hydraulic conductivity values, estimated from grain size data using the Hazen method, for the lowermost 4 units were: 2.3 x 10-3 cm/s, 9.1 x 10-6 cm/s, 9.4 x 10-3 cm/s, and 4.7 x 10-6 cm/s, respectively. The hydrostratigraphic model was verified using statistical variance analysis, field reconnaissance data, and the identification of a separate surficial aquifer within the study area. The model identified all units mapped in the field and two units below sea level, inferred to be the Cowichan Head Formation. The Comox Bluff model successfully predicted, within 2 m vertically, subsurface hydrostratigraphic boundaries 80% of the time. The second component of the study included a hydrogeological investigation of stacked Quaternary and Late Cretaceous bedrock aquifers at Oyster River. This investigation incorporated drilling logs, borehole geophysics, aqueous geochemistry, pumping and recovery test data, and hydrostratigraphic interpretation of surficial exposures. The potential for hydraulic communication between the Late Cretaceous Nanaimo Group fractured sedimentary bedrock and the overlying unconsolidated Quaternary aquifers was examined. Two adjacent groundwater observation wells were drilled; one completed in bedrock (146.9 m) and one in the surficial sediments (7.3 m). The deeper well penetrated the Trent River and Comox Formations of the Nanaimo Group. A water-bearing fracture zone approximately 3 m wide was encountered at 135 metres below ground surface, coincident with the Comox Y and Y Lower coal seams. Dissolved methane gas was detected in the bedrock aquifer, with an initial concentration of 2,123 mg/L. Schoeller diagrams reveal that the gas in bedrock is coal related. A pumping and recovery test in the deep well suggests that there is unlikely any hydraulic communication between the bedrock and surficial aquifers encountered at Oyster River. This assessment is based on infrequent water level measurements in the shallow well, which did not consistently draw down during pumping of the deeper well. However, the pumping rate was not sustainable for this test and it could not be held constant. Fracture transmissivity and hydraulic conductivity for the bedrock aquifer were estimated using the Theis Recovery method at 7.06 x 10-7 m2/s and 2.29 x 10-7 m/s, respectively. The hydrogeological research conducted at Comox and Oyster River highlights the effectiveness of a multidisciplinary approach for subsurface investigations. This study contributes site level data upon which regional inferences can be built for the Comox Coalfield.

La grotte de Lascaux (inscrite au patrimoine mondial de l’UNESCO et l’une des plus connues au monde) nécessite, dans le cadre de sa conservation et suite aux aléas subis depuis sa découverte, une attention particulière tant pour elle-même que pour son environnement. L’utilisation d’une méthode géophysique, la Tomographie de Résistivité électrique (TRE) qui est une méthode non intrusive par excellence, est donc proposée pour la reconnaissance du milieu karstique l’environnant.Un suivi temporel par TRE a été mise en oeuvre pour caractériser l’amont hydraulique de la grotte et surveiller la variation temporelle de la résistivité des terrains. A l’aide d’analyses statistiques, et en couplant les données microclimatiques aux résultats d’un suivi temporel de vingt-deux mois, nous avons montré la capacité de ce type de mesures à caractériser l’environnement épikarstique de la grotte, particulièrement les zones d’alimentation et celles permettant l’infiltration des eaux pluviales. Une modélisation du débit d’un écoulement situé à l’entrée de la grotte est proposée à partir des données de résistivité dans la zone d’alimentation identifiée au cours du suivi. Ce modèle a la capacité de prédire les arrêts et les reprises des écoulements dans la grotte, éventuellement des évènements journaliers.A partir des données de résistivité issues d’une prospection 3D du site, des modélisations géostatistiques par krigeage ordinaire et par indicatrice ont été effectuées permettant des représentations spatiales en fonction de la résistivité des terrains. Ces modèles se sont révélés extrêmement instructifs par l’imagerie de l’environnement karstique de la grotte de Lascauxqui en a résulté. Les limites des formations détritiques et des calcaires sont identifiées à l’est et l’ouest du site. A l’intérieur des calcaires, on retrouve, bien sûr, les anomalies conductrices déjà identifiées au cours du suivi temporel mais aussi leur extension spatiale. Ainsi, on a pu mettre en évidence la continuité spatiale de certaines anomalies.Le suivi temporel par TRE a permis la compréhension de la structure et du fonctionnement de l’alimentation de l’épikarst. Les modèles géostatistiques 3D ont montré leur efficacité pour la caractérisation de l’environnement de la grotte. Les résultats aideraient à proposer des conseils pour la protection du milieu environnant la grotte et ainsi pour la préservation de cette dernière. / The Lascaux cave, one of the most important prehistoric caves in the world, located in Dordogne (24, France) needs particular attention both for itself and for the environment interms of conservation and vulnerability since its discovery. Geophysical methods in particular Electrical Resistivity Tomography (ERT) enable us, in a non-invasive way, to monitor the karsticenvironment.A Time-Lapse monitoring by ERT was carried out next to the cave. Together with analysis of the local effective rainfall (ground water recharge) and the flow in the cave, the monitoringhelped us to identify an area where upstream underground water is probably stored e.g. arecharge zone. There is a large electrical contrast between the surrounding limestone and theprobable recharge zone. Then, a multivariate analysis through the resistivity values allowed usto characterize the model blocks, showing a specific behavior over time, especially the blockswith the lowest electrical resistivity. A prediction model of the flow in relation with the recharge zone succeeded to predict the beginning and the end of flow, even the daily event withextremely high value of flow.In order to visualize the environment in 3D condition, a geostatistical modelling was then applied to the resistivity values. The geostatistical models can emphasize the limit betweenthe limestone promontory and the clayey/sandy formations to the east/west part of the site. In the limestone promontory, the models also showed the possible connection between theanomalous conductive areas that may have a special consequence in this karstic environment.The Time-Lapse monitoring by ERT allows us to understand the karstic structures andrecharge phenomena. The 3D geostatistical modeling showed efficiency for the characterization of the cave environment. Those results can help to provide advices for the cave preservation.