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Petrology, Physicochemical And Thermal Analyses Of Selected Cretaceous Coals From The Benue Trough Basin In Nigeria, S. A. Akinyemi, O. F. Adebayo, B. B. Nyakuma, A. K. Adegoke, O. A. Aturamu, O. A. OlaOlorun, A. Adetunji, James C. Hower, Madison M. Hood, A. Jauro 2020 Ekiti State University, Nigeria

Petrology, Physicochemical And Thermal Analyses Of Selected Cretaceous Coals From The Benue Trough Basin In Nigeria, S. A. Akinyemi, O. F. Adebayo, B. B. Nyakuma, A. K. Adegoke, O. A. Aturamu, O. A. Olaolorun, A. Adetunji, James C. Hower, Madison M. Hood, A. Jauro

Center for Applied Energy Research Faculty and Staff Publications

Abundant coal resources that were previously neglected due to a crude oil boom need revitalisation and integration into the national electricity mix to address the energy demands of the Nigerian population. Selected coal samples from the Benue Trough sedimentary basin in Nigeria were examined by various techniques, including proximate and ultimate analyses, organic petrography, Fourier transform infrared ray spectroscopy, and thermogravimetric analysis. Based on vitrinite reflectance, the Lafia-Obi (OLB), Garin Maiganga (GMG), Imiegba (IMG), and Okaba (OKB) coals are classified as subbituminous, while the Lamja1 (LMJ1), Lamja2 (LMJ2) and Chikila (CHK) coals are high volatile B bituminous. The Enugu (ENG) …


Mass Spectrometric Calibration For Real -Time Hydrocarbon Detection, Makuachukwu Mbaegbu 2020 Louisiana State University and Agricultural and Mechanical College

Mass Spectrometric Calibration For Real -Time Hydrocarbon Detection, Makuachukwu Mbaegbu

LSU Master's Theses

Determining gas compositions from live well fluids on a drilling rig is critical for real time formation evaluation. However, development and utilization of a reliable mass spectrometric method to accurately characterize these live well fluids is always a challenging issue because of lack of a robust, quick and effectively selective instrument and method. The primary goal of this research is to understand reasons of such discrepancies in results between “good” spectra, and “poor” ones. The objectives are thus to identify the detection issues, calibrate and QA/QC the instruments, and analyze the results in lab settings. In this study, we used …


A Flood Risk Management Program Of Wadi Baysh Dam On The Downstream Area: An Integration Of Hydrologic And Hydraulic Models, Jizan Region, Ksa, Mazen M. Abu-Abdullah, Ahmed M. Youssef, Norbert H. Maerz, Emad Abu-Alfadail, Hasan M. Al-Harbi, Nasser S. Al-Saadi 2020 Missouri University of Science and Technology

A Flood Risk Management Program Of Wadi Baysh Dam On The Downstream Area: An Integration Of Hydrologic And Hydraulic Models, Jizan Region, Ksa, Mazen M. Abu-Abdullah, Ahmed M. Youssef, Norbert H. Maerz, Emad Abu-Alfadail, Hasan M. Al-Harbi, Nasser S. Al-Saadi

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

For public safety, especially for people who dwell in the valley that is located downstream of a dam site, as well as the protection of economic and environmental resources, risk management programs are urgently required all over the world. Despite the high safety standards of dams because of improved engineering and excellent construction in recent times, a zero-risk guarantee is not possible, and accidents can happen, triggered by natural hazards, human actions, or just because the dam is aging. In addition to that is the impact of potential climate change, which may not have been taken into account in the …


Load-Balancing Rendezvous Approach For Mobility-Enabled Adaptive Energy-Efficient Data Collection In Wsns, Jian Zhang, Jian Tang, Zhonghui Wang, Feng Wang, Gang Yu 2020 Nanjing University of Information Science & Technology

Load-Balancing Rendezvous Approach For Mobility-Enabled Adaptive Energy-Efficient Data Collection In Wsns, Jian Zhang, Jian Tang, Zhonghui Wang, Feng Wang, Gang Yu

Faculty and Student Publications

Copyright © 2020 KSII The tradeoff between energy conservation and traffic balancing is a dilemma problem in Wireless Sensor Networks (WSNs). By analyzing the intrinsic relationship between cluster properties and long distance transmission energy consumption, we characterize three node sets of the cluster as a theoretical foundation to enhance high performance of WSNs, and propose optimal solutions by introducing rendezvous and Mobile Elements (MEs) to optimize energy consumption for prolonging the lifetime of WSNs. First, we exploit an approximate method based on the transmission distance from the different node to an ME to select suboptimal Rendezvous Point (RP) on the …


Revisiting Lightweight Encryption For Iot Applications: Error Performance And Throughput In Wireless Fading Channels With And Without Coding, Yazid M. Khattabi, Mustafa M. Matalgah, Mohammed M. Olama 2020 University of Jordan

Revisiting Lightweight Encryption For Iot Applications: Error Performance And Throughput In Wireless Fading Channels With And Without Coding, Yazid M. Khattabi, Mustafa M. Matalgah, Mohammed M. Olama

Faculty and Student Publications

© 2013 IEEE. Employing heavy conventional encryption algorithms in communications suffers from added overhead and processing time delay; and in wireless communications, in particular, suffers from severe performance deterioration (avalanche effect) due to fading. Consequently, a tremendous reduction in data throughput and increase in complexity and time delay may occur especially when information traverse resource-limited devices as in Internet-of-Things (IoT) applications. To overcome these drawbacks, efficient lightweight encryption algorithms have been recently proposed in literature. One of those, that is of particular interest, requires using conventional encryption only for the first block of data in a given frame being transmitted. …


Cooperative Relay Selection For Load Balancing With Mobility In Hierarchical Wsns: A Multi-Armed Bandit Approach, Jian Zhang, Jian Tang, Feng Wang 2020 Nanjing University of Information Science & Technology

Cooperative Relay Selection For Load Balancing With Mobility In Hierarchical Wsns: A Multi-Armed Bandit Approach, Jian Zhang, Jian Tang, Feng Wang

Faculty and Student Publications

© 2013 IEEE. Energy efficiency is the major concern in hierarchical wireless sensor networks(WSNs), where the major energy consumption originates from radios for communication. Due to notable energy expenditure of long-range transmission for cluster members and data aggregation for Cluster Head (CH), saving and balancing energy consumption is a tricky challenge in WSNs. In this paper, we design a CH selection mechanism with a mobile sink (MS) while proposing relay selection algorithms with multi-user multi-armed bandit (UM-MAB) to solve the problem of energy efficiency. According to the definition of node density and residual energy, we propose a conception referred to …


Deep Direct Use Geothermal Energy In The North Dakota Clean Energy Transition Strategy, Al Thibeault, Moones Alamooti, Nnaemeka Ngobidi, Will Gosnold 2020 University of North Dakota

Deep Direct Use Geothermal Energy In The North Dakota Clean Energy Transition Strategy, Al Thibeault, Moones Alamooti, Nnaemeka Ngobidi, Will Gosnold

Geology and Geological Engineering Faculty Publications

The geothermal heat in the Williston Basin is an energy giant that can provide sustainable, renewable, and ecologically sound heat and power for the state of North Dakota (ND). We have known of this resource for decades, but development has been delayed for reasons which can be summed as economic competition from existing fossil fuel energy sources. With the “seismic” shock of the Covid-19 pandemic reverberating through the state’s carbon-centric economy, the timing is ideal for acting quickly to develop this energy resource.

Coincidentally, the State Energy Research Center (SERC) within the Energy & Environmental Research Center (EERC), has recently …


Timcc: On Data Freshness In Privacy-Preserving Incentive Mechanism Design For Continuous Crowdsensing Using Reverse Auction, Xiaoqiang Ma, Weiwei Deng, Feng Wang, Menglan Hu, Fei Chen, Mohammad Mehedi Hassan 2020 Huazhong University of Science and Technology

Timcc: On Data Freshness In Privacy-Preserving Incentive Mechanism Design For Continuous Crowdsensing Using Reverse Auction, Xiaoqiang Ma, Weiwei Deng, Feng Wang, Menglan Hu, Fei Chen, Mohammad Mehedi Hassan

Faculty and Student Publications

© 2013 IEEE. As an emerging paradigm that leverages the wisdom and efforts of the crowd, mobile crowdsensing has shown its great potential to collect distributed data. The crowd may incur such costs and risks as energy consumption, memory consumption, and privacy leakage when performing various tasks, so they may not be willing to participate in crowdsensing tasks unless they are well-paid. Hence, a proper privacy-preserving incentive mechanism is of great significance to motivate users to join, which has attracted a lot of research efforts. Most of the existing works regard tasks as one-shot tasks, which may not work very …


Geophysical Characteristics Of Nickel And Copper Deposits In Wadi Al Khadra Prospect, Southwestern Of Saudi Arabia, Abdulrahman Ahmed Aljabbab 2020 Missouri University of Science and Technology

Geophysical Characteristics Of Nickel And Copper Deposits In Wadi Al Khadra Prospect, Southwestern Of Saudi Arabia, Abdulrahman Ahmed Aljabbab

Doctoral Dissertations

“Three geophysical datasets (self-potential, magnetics, and time - domain electromagnetics) were acquired at Wadi Al Khadra Ni-Cu prospect in southwest Saudi Arabia, and were processed and interpreted for the Saudi Geological Survey. The primary objectives were to map the distribution of metallic mineralization, map structures, verify the integration of the geophysical interpretations and its signatures in conjunction with boreholes information, distinguish the similarities and differences in the integrated interpretation of geophysical data, and design optimal processing and interpretation data parameters. The self-potential tool was used to map the variation in natural surface potential differences to map lateral variations in the …


Proceedings Of The 2020 Undergraduate Research Conference, Ryan C. Winters, Baylee E. Guillory, Baton Rouge Community College, Grambling State University, Louisiana College, Louisiana State University, McNeese State University, Northwestern State University of Louisiana, Southern University and A&M College, University of Louisiana at Lafayette 2020 University of Louisiana at Lafayette

Proceedings Of The 2020 Undergraduate Research Conference, Ryan C. Winters, Baylee E. Guillory, Baton Rouge Community College, Grambling State University, Louisiana College, Louisiana State University, Mcneese State University, Northwestern State University Of Louisiana, Southern University And A&M College, University Of Louisiana At Lafayette

Advance: Student Research Experience

Proceedings of the 2020 Undergraduate Research Conference, University of Louisiana at Lafayette, November 9-10, 2020.


Geotechnical Engineering: Particle Size Distribution Of Layered Glacial Lake Columbia And Ice Age Flood Deposits In Latah Valley, Spokane, Wa, Aaron Cleveland, Kassie Allen 2020 Eastern Washington University

Geotechnical Engineering: Particle Size Distribution Of Layered Glacial Lake Columbia And Ice Age Flood Deposits In Latah Valley, Spokane, Wa, Aaron Cleveland, Kassie Allen

2020 Symposium Posters

We collected samples from the Latah Valley in Spokane, WA, of Missoula Flood deposits interbedded with Glacial Lake Columbia Sediments. We conducted tests on these soils according to ASTM standards. We performed Specific Gravity tests according to ASTM D854, and determined particle size distribution for these soils by conducting sieve and hydrometer analyses according to ASTM D422. We then plotted these data to create particle size distribution curves. Specific Gravities for the all of the samples collected range from 2.36 to 2.67. The flood deposits are dominated by coarse sand and gravel and the Glacial Lake Columbia deposits are dominated …


Evaluation Of Engineering Properties Of Soil In Al Butayn, Mudarraj Al Qassim And Turubah - Hail Saudi Arabia, Turki Essam A. Sehly 2020 Missouri University of Science and Technology

Evaluation Of Engineering Properties Of Soil In Al Butayn, Mudarraj Al Qassim And Turubah - Hail Saudi Arabia, Turki Essam A. Sehly

Masters Theses

"Fractures, sinkhole, building cracks, and ground subsidence have spread in many regions of the Kingdom of Saudi Arabia, some of which are related to seismic activity, others due to the presence of unstable soils (collapsing soils and Expansive soils) and others because of faults, while others result from drawing groundwater at great rates. The current study has several facts related to the formation of cracks and landslides, including:
1) A general study of geomorphology and geology of the study areas.
2) The causes affecting the formation of cracks and subsidence.
3) Detailed geomorphological and geological studies of the locations of …


Ambient Noise Seismic Interferometry Through Surface Seismic Data Acquisition Vs Zero-Offset Vertical Seismic Profiling (Vsp), Erdi Apatay 2020 Michigan Technological University

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 …


Using Geothermal Energy To Reduce Oil Production Costs, Will Gosnold, Mark Ballesteros, Dongmei Wang, Josh Crowell 2020 University of North Dakota

Using Geothermal Energy To Reduce Oil Production Costs, Will Gosnold, Mark Ballesteros, Dongmei Wang, Josh Crowell

Geology and Geological Engineering Faculty Publications

The economic impact of the Covid-19 pandemic on the oil industry has been devastating. The decline in demand and price collapse have been particularly disruptive for shale oil extraction which is inherently more expensive than conventional operations. Survival and continuing operations will depend partly on reducing operating costs, and a ubiquitous and substantial cost in oil production is electrical power used primarily for pumping the wells. The Bakken in North Dakota play is particularly vulnerable because there is not an adequate electrical grid in the region. Many Bakken fields rely on generators burning propane, gasoline or diesel fuel at costs …


A Relook At Canada’S Western Canada Sedimentary Basin For Power Generation And Direct-Use Energy Production, Catherine Hickson, Katie Huang, Darrell Cotterill, Will Gosnold, Dick Benoit 2020 University of North Dakota

A Relook At Canada’S Western Canada Sedimentary Basin For Power Generation And Direct-Use Energy Production, Catherine Hickson, Katie Huang, Darrell Cotterill, Will Gosnold, Dick Benoit

Geology and Geological Engineering Faculty Publications

The Alberta No. 1 Project, under the terms of Canada’s Federal government’s Emerging Renewable Power Program (ERPP), must produce 5MWe net. The goal of this study was to identify areas where three essential constraining conditions overlap; (1) the temperature gradient is sufficiently high that 120°C brines at depths of 4,500m or less are potentially available, (2) there are formations at the depths targeted with known high fluid flows, and (3) there is adequate existing infrastructure that supports low-cost power grid connection as well as a direct use application. A fluid temperature of at least 120oC is needed to …


Developing Innovative Spectral And Machine Learning Methods For Mineral And Lithological Classification Using Multi-Sensor Datasets, Chandan Kumar 2020 Michigan Technological University

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 …


The Overexploitation Of The Valle De Querétaro Aquifer And Its Impact In Small Peri-Urban Communities, Querétaro, México, Kelsey Kirkland 2020 Michigan Technological University

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 …


Using Ai And Machine Learning To Indicate Shale Anisotropy And Assist In Completions Design, Cole E. Palmer 2020 West Virginia University

Using Ai And Machine Learning To Indicate Shale Anisotropy And Assist In Completions Design, Cole E. Palmer

Graduate Theses, Dissertations, and Problem Reports (ETD)

Operating companies in the unconventional Marcellus shale play have all faced a similar and problematic issue, while attempting to produce natural gas over the last decade. Companies have quickly realized that not every perforation along their horizontal wells are producing gas. In fact, producing perforations are only ranging from 15%-70% of the total perforations along the horizontal wellbore [1]. This unexplained issue results in millions of dollars in lost revenue per well, in addition to the sunk cost of paying for completions that are not actually yielding any produced gas.

What is causing these perforations to have no produced gas? …


Comparative Study Of Gross Split And Cost Recovery Production Sharing Contracts In Indonesia, Mohammad Ubaidillah 2020 Faculty of Engineering

Comparative Study Of Gross Split And Cost Recovery Production Sharing Contracts In Indonesia, Mohammad Ubaidillah

Chulalongkorn University Theses and Dissertations (Chula ETD)

In upstream oil and gas business, Indonesian has introduced Production Sharing Contract Cost Recovery (PSC CR) in 1966 and still implementing that fiscal system until nowadays. In January 2017, The Indonesian Minister of Energy and Mineral Resources (MEMR or ESDM) introduce new PSC system called Production Sharing Contract Gross Split (PSC GS) following with three amendments until 2019. Ministries believe this new Fiscal regime can attract more investor to invest Oil & Gas business in Indonesia by delivering three main values which are certainty, efficiency, and simplicity policies. This study evaluates and compares the financial aspect of new Indonesian fiscal …


Data Analytics Of Natural Gas Injection Enhanced Oil Recovery For Unconventional Reservoirs, Ali Waqar 2020 Missouri University of Science and Technology

Data Analytics Of Natural Gas Injection Enhanced Oil Recovery For Unconventional Reservoirs, Ali Waqar

Masters Theses

"Unconventional Enhanced Oil recovery, via the injection of natural gas has attracted great attention, as studies and projects have shown to be promising. An overview of pertinent studies has been carried out. Core Scale Laboratory Experiments, Core Scale Simulation, Field Scale simulation and pilot projects are analyzed. Data is collected for Core, Reservoir, Operational, and recovery information. Thereafter, Data analysis techniques are applied to identify data ranges, distributions, trends, relationships, and to eventually reach conclusions.

Huff and Puff injection is the preferred mode of injection, delivering most promising results for unconventional reservoirs. Across all the studies, with increase in amount …


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