Geological Engineering Commons^™

Evaluating Geomechanical Uncertainty In Open Pit Mine Planning, Evan Ricchio-Hitchcock

Dissertations, Master's Theses and Master's Reports

Open pit mine planning encompasses a variety of uncertainties. Uncertainty due to geomechanics is most critical for a safe operation in an open pit mine. Without sufficient knowledge of the geomechanical properties of the subsurface, a reliability analysis of the slope stability could be challenging. Slope stability is a crucial step in pit optimization since the cash flow analysis of a mine is constrained by a stable slope angle. However, obtaining a stable slope angle with certainty is difficult to achieve as geomechanical parameters are modeled using a very limited number of samples. This thesis proposes a method to integrate …

Developing A Regional Scale Landslide Early Warning System In A Data-Sparse Region Using Remote Sensing, Geostatistics, And Google Earth Engine, Vishnu Chakrapani Lekha

Dissertations, Master's Theses and Master's Reports

The Landslide Early Warning System (LEWS) is a non-structural approach to mitigate landslide risk by alerting vulnerable communities at an early stage. This study aimed to develop a regional LEWS for rain-induced shallow landslides in Idukki, a mountainous district in India with sparse rainfall data. The landslide model consists of a rainfall component and a slope stability component. Satellite precipitation data can be used in data-sparse regions, but they must be calibrated because they tend to underestimate rainfall. To improve the accuracy of satellite data, this study used a geostatistics-based multi-criteria approach to identify optimal locations to install new rain …

Evaluation Of Production-Well Performance In Response To Formation Clogging And Rehabilitation For The Keweenaw Bay Tribal Fish Hatchery, Brock O. Howell

Dissertations, Master's Theses and Master's Reports

Temporally, the KBIC (Keweenaw Bay Indian Community) Hatchery wells have manifested general trends of declining specific capacity and higher energy consumption due to mineral precipitation in and around the production wells. Monitoring data, laboratory water analyses, and downhole video logging have confirmed that naturally occurring minerals are precipitating and clogging the screens and, likely, the surrounding formations. The reduction in fluid pressures in and around the well-screens from active pumping wells is typical but, ultimately alters the geochemical and physical conditions such that dissolved minerals precipitate on and around the well-screens, therefore, effectively clogging the well. The clogging from mineral …

Simulating Groundwater Pollutant Transport For Remediation Design, Antrim County, Michigan, Abilynn Raetz

Dissertations, Master's Theses and Master's Reports

Located in Antrim County, Michigan between the coasts of Torch Lake and Lake Michigan is a hydrocarbon plume that has impacted surrounding residential wells. The plume is comprised of benzene, toluene, ethylbenzene, and xylenes (BTEX) and primarily resides in the shallowest groundwater aquifer. The plume is suspected of having originated from an underground storage container that was removed in 1979. A conceptual model was developed for the site, comprising of a simplified hydrogeological model. Groundwater modeling was performed using Aquaveo's groundwater modeling software (GMS). PEST parameter calibration was performed on the hydraulic conductivity and recharge values using data from surrounding …

Application Of Remote Sensing For Permafrost Monitoring In Alaska, Iuliia V. Tcibulnikova

Dissertations, Master's Theses and Master's Reports

Permafrost covers about 85% of the state of Alaska; it is a fragile cryogenic phenomenon prone to degradation under thermal and mechanical (natural and anthropogenic) influences. This research analyzes the application of remote sensing for permafrost monitoring in the Prudhoe Bay area, Alaska. Thawing thermokarst lakes are assessed as the signs of permafrost degradation. Normalized Difference Water Index (NDWI) was used to detect thaw lakes in Landsat-8 satellite imagery within the 529-km² study area in 2013 and 2020. The lakes were then mapped according to their size and growth rate. Lakes do not grow uniformly; some lakes grow while …

Pre-Failure Persistent Scatterer Interferometry (Psi) And Soil Moisture Index (Smi) Analysis Of The Edenville Dam In Midland, Michigan, Ryan Klida

Dissertations, Master's Theses and Master's Reports

The Edenville Dam was an earth dam located approximately 15 miles northwest of Midland, Michigan. The dam impounded the Tobacco and Tittabawassee Rivers, forming Wixom Lake. On May 19^th, 2020, the dam failed after three days of elevated rainfall. Flood waters from Wixom Lake caused the overtopping of the Sanford Dam downstream, and the flooding of the surrounding area. The Edenville Dam was 95 years old at the time of failure and was constructed before modern geotechnical engineering methods were widely practiced. Dam infrastructure similar to Edenville is not uncommon, requiring the need for increased monitoring. A pre-failure …

Developing Innovative Spectral And Machine Learning Methods For Mineral And Lithological Classification Using Multi-Sensor Datasets, Chandan Kumar

Dissertations, Master's Theses and Master's Reports

The sustainable exploration of mineral resources plays a significant role in the economic development of any nation. The lithological maps and surface mineral distribution can be vital baseline data to narrow down the geochemical and geophysical analysis potential areas. This study developed innovative spectral and Machine Learning (ML) methods for mineral and lithological classification. Multi-sensor datasets such as Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG), Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Advanced Land Observing (ALOS) Phased Array type L-band Synthetic Aperture Radar (PALSAR), Sentinel-1, and Digital Elevation Model (DEM) were utilized. The study mapped the hydrothermal alteration minerals derived …

Physical Modeling Of The Krauklis Waves: Insights From Two Experimental Apparatuses, Haitao Cao

Dissertations, Master's Theses and Master's Reports

Fractures play an important role in the geological related processes such as hydraulic fracturing, water-water disposal, and volcanic earthquake. Seismic waves can provide useful information from fractures at a relatively low cost. In particular, the acoustic property of fractures containing magmatic or hydrothermal fluids can provide useful information about the fracture size and the fluid composition within the fracture. For instance, in volcanology, the resonant frequency of long-period events that are linked to crack interface waves is used to obtain fluid properties of cracks in magmatic systems. However, in order to rely on seismic data, they should be precisely characterized …

Ambient Noise Seismic Interferometry Through Surface Seismic Data Acquisition Vs Zero-Offset Vertical Seismic Profiling (Vsp), Erdi Apatay

Dissertations, Master's Theses and Master's Reports

Ambient noise seismic interferometry (ANSI) is a method that uses passive noise created by unknown sources such as local or teleseismic earthquakes, waves, wind, fracturing and fault movement in a reservoir to obtain an image of subsurface. ANSI has been used in some various disciplines, including earthquake engineering, time-lapse monitoring, borehole seismology and seismic exploration for years. Compared to conventional active seismic surveys, it is advantageous in terms of cost-efficiency as no active source such dynamite or vibroseis is used. Although many promising results have been obtained from surface wave ANSI, body wave ANSI is still challenging. Such a challenge …

The Overexploitation Of The Valle De Querétaro Aquifer And Its Impact In Small Peri-Urban Communities, Querétaro, México, Kelsey Kirkland

Dissertations, Master's Theses and Master's Reports

The Valle de Querétaro Aquifer is the only viable local water source satisfying the domestic, agricultural, and industrial water needs of the Querétaro Valley. Severe depletion of the groundwater source has had significant consequences throughout the region, especially in the peri-urban communities of Santo Niño de Praga, Tlacote el Bajo, and La Palma. Historically, residents depended on aquifer-fed freshwater springs (known as Los Tajos) to meet their basic and productive needs. Spring production ceased between 10 and 15 ago and investigating the causes formed the basis of this research.

Analysis of available qualitative and quantitative data was used to identify …

Rain Generated Lahars Prior To The 2018 Catastrophic Eruption Of Fuego Volcano, Guatemala, Claudia Buondonno

Dissertations, Master's Theses and Master's Reports

Fuego volcano is one of the most active and hazardous volcanoes in the world. It is located in the northern part of the Central American Volcanic Arc in Guatemala and its activity can be characterized by long term, low-level background activity, and sporadic larger explosive eruptions. Its historical observations of eruptions date back to 1531, but it has been erupting vigorously since 2002 with major activity throughout 2018, producing three main eruptions in February, June and November. Its almost persistent activity generates major ashfalls, pyroclastic flows, lava flows; when heavy rains mobilize its deposits, they can form damaging lahars. Phenomena, …

Investigation Of Long Term Pillar Stability In An Abandoned Gypsum Mine Based On Dissolution Models, Mohammadhossein Sadeghiamirshahidi

Dissertations, Master's Theses and Master's Reports

The abandoned Domtar Mine in Grand Rapids, MI underlies Interstate I-196. The mine operated for over 140 years, mining a 30-meter-deep, four-meter thick gypsum seam. In 2000, the mine was abandoned with the removal of the mine’s dewatering pumps allowing groundwater to flood the mine. The initial flooding resulted in saturating the mine pillars along with some amount of pillar dissolution. Overtime, gypsum dissolution would cease as the water becomes saturated with the gypsum dissolution products. The mine, however, is located adjacent to the Grand River and has groundwater moving through the mine resulting in the potential for continuing dissolution. …

Probabilistic Regional Landslide Hazard Assessment For The Enguri Dam (Jivari, Georgia), Maria Diletta Acciaro

Dissertations, Master's Theses and Master's Reports

The Enguri Dam forms a reservoir in a seismically active area in the foothills of the Caucasus Mountain range near Jvari, Georgia. The slopes are steep, highly fractured, and weathered, which make them at risk to failure during or following extreme rainfall events. Hydroelectricity produced by the water retained by the 271-m dam provides almost half of the electricity for the country. The reservoir perimeter is more than 40 km and the surrounding slopes span an area of more than 30 km2. The size of the area and paucity of slope data have made slope-failure hazard assessment of the broader …

Analyzing The Life-Cycle Of Unstable Slopes Using Applied Remote Sensing Within An Asset Management Framework, El Hachemi Y. Bouali

Dissertations, Master's Theses and Master's Reports

An asset management framework provides a methodology for monitoring and maintaining assets, which include anthropogenic infrastructure (e.g., dams, embankments, and retaining structures) and natural geological features (e.g., soil and rock slopes). It is imperative that these assets operate efficiently, effectively, safely, and at a high standard since many assets are located along transportation corridors (highways, railways, and waterways) and can cause severe damage if compromised. Assets built on or around regions prone to natural hazards are at an increased risk of deterioration and failure. The objective of this study is to utilize remote sensing techniques such as InSAR, LiDAR, and …

Application Of Remote Sensing And Machine Learning Modeling To Post-Wildfire Debris Flow Risks, Priscilla Addison

Dissertations, Master's Theses and Master's Reports

Historically, post-fire debris flows (DFs) have been mostly more deadly than the fires that preceded them. Fires can transform a location that had no history of DFs to one that is primed for it. Studies have found that the higher the severity of the fire, the higher the probability of DF occurrence. Due to high fatalities associated with these events, several statistical models have been developed for use as emergency decision support tools. These previous models used linear modeling approaches that produced subpar results. Our study therefore investigated the application of nonlinear machine learning modeling as an alternative. Existing models …