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Articles 61 - 65 of 65
Full-Text Articles in Entire DC Network
Determing Fault Location Within An Active Rift Basin Using Gravity Analysis To Determine Fault Movemnet And Effect On Water Recharge, Mark Andrew Ornelas
Determing Fault Location Within An Active Rift Basin Using Gravity Analysis To Determine Fault Movemnet And Effect On Water Recharge, Mark Andrew Ornelas
Open Access Theses & Dissertations
The growth of the El Paso, TX and Ciudad Juárez, Chihuahua, metropolitan area has increased reliance of groundwater pumping from the Hueco Bolson. With growing demands for water and recharge of the bolson not occurring at a fast enough rate, water storage within the bolson is beginning to diminish. My study focuses on locating and understanding how faults interact with water flow into the basin and how they aid in storing water on the northwestern side of the bolson. Previous studies in the northernmost part of my study area have delineated a series of faults that predominantly trend northwest-southeast. In …
Whose Lands? Which Public?: The Shape Of Public-Lands Law And Trump's National Monument Proclamations, Jedediah Britton-Purdy
Whose Lands? Which Public?: The Shape Of Public-Lands Law And Trump's National Monument Proclamations, Jedediah Britton-Purdy
Faculty Scholarship
President Trump issued a proclamation in December 2017 purporting to remove two million acres in southern Utah from national monument status, radically shrinking the Grand-Staircase Escalante National Monument and splitting the Bears Ears National Monument into two residual protected areas. Whether the President has the power to revise or revoke existing monuments under the Antiquities Act, which creates the national monument system, is a new question of law for a 112-year-old statute that has been used by Presidents from Theodore Roosevelt to Barack Obama to protect roughly fifteen million acres of federal land and hundreds of millions of marine acres. …
Hydraulic Fracture Design Optimization For Nubian Sandstone Formation In Libya, Housameddin Mohamed Sherif
Hydraulic Fracture Design Optimization For Nubian Sandstone Formation In Libya, Housameddin Mohamed Sherif
Masters Theses
There is growing interest in developing unconventional oil and gas reserves in Libya, such as the tight portions of the Nubian sandstone.
Well-X7 is a development well drilled to a TD of 13,005' penetrating the Upper Nubain Sandstone (UNSS) at 12,122'-12,207' and the Lower Nubain Sandstone (LNSS) at 12,524'-12,880' KB. Based on open hole logs, the UNSS has 71 ft of net pay and the LNSS was found to have 295 ft of net pay. Openhole logs also showed low permeabilities of 2.5 and 3 md for the UNSS and LNSS, respectively. The well was initially perforated in both zones …
Kinetic Landscape And Unalloyed Potential: Rethinking The Extractive Landscape Of Michigan's Native Mass Copper Mining Industry, Sean Gohman
Dissertations, Master's Theses and Master's Reports
This dissertation examines the extractive landscape and persistent lifespan of native mass copper mining in Michigan’s Upper Peninsula. The historic native copper mining industry of Michigan lasted for over a century, though its impacts on the landscape can be broken into two distinct, though overlapping, phases of extractive practice: mass mining and disseminated lode mining. Each mined specific native copper deposits, utilized related but specialized technologies, and relied upon different sources of energy to power its practices. A first, formative phase of mass mining exploited fissures of pure metallic copper using traditional technology and organic sources of fuel. A second …
An Integrated Machine Learning Geological Field Tool In The Age Of Big Data And Drones, Guillermo Vargas
An Integrated Machine Learning Geological Field Tool In The Age Of Big Data And Drones, Guillermo Vargas
Open Access Theses & Dissertations
Unmanned aerial vehicles (UAVs) and machine learning are relatively new research tools in the geosciences that can be used to collect and analyze large data sets rapidly. We combine the power of rapid data collection using unmanned aerial vehicles with machine learning algorithms to develop a field-based system to identify targeted geological features. For data collection, we have used a commercial-grade UAV which carried visible-wavelength and multispectral (visible- infrared) cameras. We analyzed the data with machine learning and machine vision algorithms that can classify rock units exposed in a field area. We have identified algorithms that in previous literature have …