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Reactive Oxygen Species (Ros)-Responsive Size-Reducible Nanoassemblies For Deeper Atherosclerotic Plaque Penetration And Enhanced Macrophage-Targeted Drug Delivery, Jianhua He, Wenli Zhang, Xiaoju Zhou, Fengfei Xu, Jiahui Zou, Qiqi Zhang, Yi Zhao, Hongliang He, Hu Yang, Jianping Liu Jan 2023

Reactive Oxygen Species (Ros)-Responsive Size-Reducible Nanoassemblies For Deeper Atherosclerotic Plaque Penetration And Enhanced Macrophage-Targeted Drug Delivery, Jianhua He, Wenli Zhang, Xiaoju Zhou, Fengfei Xu, Jiahui Zou, Qiqi Zhang, Yi Zhao, Hongliang He, Hu Yang, Jianping Liu

Chemical and Biochemical Engineering Faculty Research & Creative Works

Nanoparticle-Based therapeutics represent potential strategies for treating atherosclerosis; however, the complex plaque microenvironment poses a barrier for nanoparticles to target the dysfunctional cells. Here, we report reactive oxygen species (ROS)-responsive and size-reducible nano assemblies, formed by multivalent host-guest interactions between β-cyclodextrins (β-CD)-anchored discoidal recombinant high-density lipoprotein (NP3ST) and hyaluronic acid-ferrocene (HA-Fc) conjugates. the HA-Fc/NP3ST nano assemblies have extended blood circulation time, specifically accumulate in atherosclerotic plaque mediated by the HA receptors CD44 highly expressed in injured endothelium, rapidly disassemble in response to excess ROS in the intimal and release smaller NP3ST, allowing for further plaque penetration, macrophage-targeted cholesterol efflux and …

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Enhancing Innovation Via The Digital Twin, Nobuyuki Fukawa, Aric Rindfleisch Jan 2023

Enhancing Innovation Via The Digital Twin, Nobuyuki Fukawa, Aric Rindfleisch

Business and Information Technology Faculty Research & Creative Works

A Growing Number of Firms Are Seeking to Leverage Emerging Technologies, Such as Artificial Intelligence (AI) and 3D Printing, to Enhance their Innovation Efforts. These Seemingly Distinct Technologies Are Currently Coalescing into an Encompassing New Technology Called the Digital Twin. This Technology Allows Innovative Firms to Create a Digital Replica of a Physical Entity that Evolves over its Life Cycle. This Article Explores the Implications of the Digital Twin for Innovation Theory and Practice. First, We Examine the Connection between the Digital Twin and Three Related Technologies (I.e., 3D Printing, Big Data, and AI). Second, We Create a Typology of …

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Reassessing Theories Of Capital Structure: Empirical Insights From Companies Listed In Vietnam, Ya Dai, Liang Guo, Chang Guo, Hongxian Zhang Jan 2023

Reassessing Theories Of Capital Structure: Empirical Insights From Companies Listed In Vietnam, Ya Dai, Liang Guo, Chang Guo, Hongxian Zhang

Business and Information Technology Faculty Research & Creative Works

Over the past decade, the Vietnamese capital market has undergone a remarkable transformation, with a significant focus on its stock market that has displayed substantial expansion since 2012. This research delves into the impact of this market progression on the choices pertaining to capital structure made by companies listed in Vietnam. By analyzing a range of trade-off and pecking order models and amalgamating them into a unified regression framework, we gauge their capacity to elucidate these decisions. Our study outcomes unveil that the trade-off theory offers a more robust rationale for the capital structure determinations of Vietnamese companies, particularly during …

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3d-Printed Hydrogels Dressings With Bioactive Borate Glass For Continuous Hydration And Treatment Of Second-Degree Burns, Fateme Fayyazbakhsh, Michael J. Khayat, Candy Sadler, Delbert Day, Yue-Wern Huang, Ming-Chuan Leu Jan 2023

3d-Printed Hydrogels Dressings With Bioactive Borate Glass For Continuous Hydration And Treatment Of Second-Degree Burns, Fateme Fayyazbakhsh, Michael J. Khayat, Candy Sadler, Delbert Day, Yue-Wern Huang, Ming-Chuan Leu

Biological Sciences Faculty Research & Creative Works

Recent advances in additive manufacturing have led to the development of innovative solutions for tissue regeneration. Hydrogel materials have gained significant attention for burn wound treatment in clinical practice among various advanced dressings due to their soothing and moisturizing activity. However, prolonged healing, pain, and traumatic removal due to the lack of long-term wound hydration are some of the challenges in the treatment of second-degree burn wounds. In this study, 3D-printed dressings were fabricated using gelatin, alginate, and bioactive borate glass (BBG) using an extrusion-based bioprinter. After ionic crosslinking, the 3D-printed dressings were characterized for mechanical properties, degradation rate, hydration …

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Preserving Privacy In Image Database Through Bit-Planes Obfuscation, Vishesh K. Tanwar, Ashish Gupta, Sanjay Kumar Madria, Sajal K. Das Jan 2023

Preserving Privacy In Image Database Through Bit-Planes Obfuscation, Vishesh K. Tanwar, Ashish Gupta, Sanjay Kumar Madria, Sajal K. Das

Computer Science Faculty Research & Creative Works

The recent surge in computer vision applications has caused visual privacy concerns to people who are either users or exposed to an underlying surveillance system. To preserve their privacy, image obfuscation lays out a strong road through which the usability of images can also be maintained without revealing any visual private information. However, prior solutions are susceptible to reconstruction attacks or produce non-trainable images even by leveraging the obfuscation ways. This paper proposes a novel bit-planes-based image obfuscation scheme, called Bimof, to protect the visual privacy of the user in the images that are input into a recognition-based system. By …

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Dispatching Point Selection For A Drone-Based Delivery System Operating In A Mixed Euclidean–Manhattan Grid, Francesco Betti Sorbelli, Federico Corò, Sajal K. Das, Cristina M. Pinotti, Anil Shende Jan 2023

Dispatching Point Selection For A Drone-Based Delivery System Operating In A Mixed Euclidean–Manhattan Grid, Francesco Betti Sorbelli, Federico Corò, Sajal K. Das, Cristina M. Pinotti, Anil Shende

Computer Science Faculty Research & Creative Works

In this paper, we present a drone-based delivery system that assumes to deal with a mixed-area, i.e., two areas, one rural and one urban, placed side-by-side. In the mixed-areas, called EM-grids, the distances are measured with two different metrics, and the shortest path between two destinations concatenates the Euclidean and Manhattan metrics. Due to payload constraints, the drone serves a single customer at a time returning back to the dispatching point (DP) after each delivery to load a new parcel for the next customer. In this paper, we present the 1 -Median Euclidean–Manhattan grid Problem (MEMP) for EM-grids, whose goal …

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Bits 2023 Welcome Message From General Chairs And Tpc Chairs, Sajal K. Das, Keiichi Yasumoto, Hayato Yamana, Shameek Bhattacharjee Jan 2023

Bits 2023 Welcome Message From General Chairs And Tpc Chairs, Sajal K. Das, Keiichi Yasumoto, Hayato Yamana, Shameek Bhattacharjee

Computer Science Faculty Research & Creative Works

No abstract provided.

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Cyber-Agricultural Systems For Crop Breeding And Sustainable Production, Soumik Sarkar, Baskar Ganapathysubramanian, Arti Singh, Fateme Fotouhi, Soumyashree Kar, Koushik Nagasubramanian, Girish Chowdhary, Sajal K. Das, George Kantor, Adarsh Krishnamurthy, Nirav Merchant, Asheesh K. Singh Jan 2023

Cyber-Agricultural Systems For Crop Breeding And Sustainable Production, Soumik Sarkar, Baskar Ganapathysubramanian, Arti Singh, Fateme Fotouhi, Soumyashree Kar, Koushik Nagasubramanian, Girish Chowdhary, Sajal K. Das, George Kantor, Adarsh Krishnamurthy, Nirav Merchant, Asheesh K. Singh

Computer Science Faculty Research & Creative Works

The Cyber-Agricultural System (CAS) Represents an overarching Framework of Agriculture that Leverages Recent Advances in Ubiquitous Sensing, Artificial Intelligence, Smart Actuators, and Scalable Cyberinfrastructure (CI) in Both Breeding and Production Agriculture. We Discuss the Recent Progress and Perspective of the Three Fundamental Components of CAS – Sensing, Modeling, and Actuation – and the Emerging Concept of Agricultural Digital Twins (DTs). We Also Discuss How Scalable CI is Becoming a Key Enabler of Smart Agriculture. in This Review We Shed Light on the Significance of CAS in Revolutionizing Crop Breeding and Production by Enhancing Efficiency, Productivity, Sustainability, and Resilience to Changing …

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An Augmented Dataset For Vision-Based Unmanned Aerial Vehicles Detection And Tracking, Md Hasibur Rahman, Sanjay Madria Jan 2023

An Augmented Dataset For Vision-Based Unmanned Aerial Vehicles Detection And Tracking, Md Hasibur Rahman, Sanjay Madria

Computer Science Faculty Research & Creative Works

The rapid proliferation of Unmanned Aerial Vehicles (UAVs) or drones in military, disaster management, business, and entertainment applications has raised concerns about their potential airspace risks. Researchers are increasingly focused on developing methods for detecting and tracking UAVs with various data sources like radar, visual, acoustic, and radio-frequency data available. among these, visual data stands out as cost-effective and amenable to analysis using Computer Vision (CV) techniques. However, vision-Based tasks present challenges such as occlusions, shaky footage, and small UAVs at a distance, requiring timely and computationally efficient detection, especially given limited onboard computational power. to address these challenges, researchers …

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Geo-Distributed Multi-Tier Workload Migration Over Multi-Timescale Electricity Markets, Sourav Kanti Addya, Anurag Satpathy, Bishakh Chandra Ghosh, Sandip Chakraborty, Soumya K. Ghosh, Sajal K. Das Jan 2023

Geo-Distributed Multi-Tier Workload Migration Over Multi-Timescale Electricity Markets, Sourav Kanti Addya, Anurag Satpathy, Bishakh Chandra Ghosh, Sandip Chakraborty, Soumya K. Ghosh, Sajal K. Das

Computer Science Faculty Research & Creative Works

Virtual machine (VM) migration enables cloud service providers (CSPs) to balance workload, perform zero-downtime maintenance, and reduce applications' power consumption and response time. Migrating a VM consumes energy at the source, destination, and backbone networks, i.e., intermediate routers and switches, especially in a Geo-distributed setting. In this context, we propose a VM migration model called Low Energy Application Workload Migration (LEAWM) aimed at reducing the per-bit migration cost in migrating VMs over Geo-distributed clouds. With a Geo-distributed cloud connected through multiple Internet Service Providers (ISPs), we develop an approach to find out the migration path across ISPs leading to the …

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Urban Air Mobility: Vision, Challenges And Opportunities, Debjyoti Sengupta, Sajal K. Das Jan 2023

Urban Air Mobility: Vision, Challenges And Opportunities, Debjyoti Sengupta, Sajal K. Das

Computer Science Faculty Research & Creative Works

Urban Air Mobility (UAM) involving piloted or autonomous aerial vehicles, is envisioned as emerging disruptive technology for next-generation transportation addressing mobility challenges in congested cities. This paradigm may include aircrafts ranging from small unmanned aerial vehicles (UAVs) or drones, to aircrafts with passenger carrying capacity, such as personal air vehicles (PAVs). This paper highlights the UAM vision and brings out the underlying fundamental research challenges and opportunities from computing, networking, and service perspectives for sustainable design and implementation of this promising technology providing an innovative infrastructure for urban mobility. Important research questions include, but are not limited to, real-Time autonomous …

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Welcome From General Chairs, Sajal K. Das, Wen Zhan Song Jan 2023

Welcome From General Chairs, Sajal K. Das, Wen Zhan Song

Computer Science Faculty Research & Creative Works

No abstract provided.

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Detection Of False Data Injection In Smart Water Metering Infrastructure, Ayanfeoluwa Oluyomi, Shameek Bhattacharjee, Sajal K. Das Jan 2023

Detection Of False Data Injection In Smart Water Metering Infrastructure, Ayanfeoluwa Oluyomi, Shameek Bhattacharjee, Sajal K. Das

Computer Science Faculty Research & Creative Works

Smart water metering (SWM) infrastructure collects real-Time water usage data that is useful for automated billing, leak detection, and forecasting of peak periods. Cyber/physical attacks can lead to data falsification on water usage data. This paper proposes a learning approach that converts smart water meter data into a Pythagorean mean-based invariant that is highly stable under normal conditions but deviates under attacks. We show how adversaries can launch deductive or camouflage attacks in the SWM infrastructure to gain benefits and impact the water distribution utility. Then, we apply a two-Tier approach of stateless and stateful detection, reducing false alarms without …

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One-Shot Federated Learning For Leo Constellations That Reduces Convergence Time From Days To 90 Minutes, Mohamed Elmahallawy, Tie (Tony) Tie Luo Jan 2023

One-Shot Federated Learning For Leo Constellations That Reduces Convergence Time From Days To 90 Minutes, Mohamed Elmahallawy, Tie (Tony) Tie Luo

Computer Science Faculty Research & Creative Works

A Low Earth orbit (LEO) satellite constellation consists of a large number of small satellites traveling in space with high mobility and collecting vast amounts of mobility data such as cloud movement for weather forecast, large herds of animals migrating across geo-regions, spreading of forest fires, and aircraft tracking. Machine learning can be utilized to analyze these mobility data to address global challenges, and Federated Learning (FL) is a promising approach because it eliminates the need for transmitting raw data and hence is both bandwidth and privacy friendly. However, FL requires many communication rounds between clients (satellites) and the parameter …

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Disagreement Matters: Exploring Internal Diversification For Redundant Attention In Generic Facial Action Analysis, Xiaotian Li, Zheng Zhang, Xiang Zhang, Taoyue Wang, Zhihua Li, Huiyuan Yang, Umur Ciftci, Qiang Ji, Jeffrey Cohn, Lijun Yin Jan 2023

Disagreement Matters: Exploring Internal Diversification For Redundant Attention In Generic Facial Action Analysis, Xiaotian Li, Zheng Zhang, Xiang Zhang, Taoyue Wang, Zhihua Li, Huiyuan Yang, Umur Ciftci, Qiang Ji, Jeffrey Cohn, Lijun Yin

Computer Science Faculty Research & Creative Works

This paper demonstrates the effectiveness of a diversification mechanism for building a more robust multi-attention system in generic facial action analysis. While previous multi-attention (e.g., visual attention and self-attention) research on facial expression recognition (FER) and Action Unit (AU) detection have been thoroughly studied to focus on "external attention diversification", where attention branches localize different facial areas, we delve into the realm of "internal attention diversification" and explore the impact of diverse attention patterns within the same Region of Interest (RoI). Our experiments reveal that variability in attention patterns significantly impacts model performance, indicating that unconstrained multi-attention plagued by redundancy …

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Strategic Information Design In Selfish Routing With Quantum Response Travelers, Sainath Sanga, Venkata Sriram Siddhardh Nadendla, Mukund Telukunta, Sajal K. Das Jan 2023

Strategic Information Design In Selfish Routing With Quantum Response Travelers, Sainath Sanga, Venkata Sriram Siddhardh Nadendla, Mukund Telukunta, Sajal K. Das

Computer Science Faculty Research & Creative Works

Selfish routing begets inefficiency in multi-agent transportation systems, leading to significant economic losses in our society. Although several powerful techniques (e. g., marginal cost pricing) have been proposed to mitigate price-of-anarchy (a measure of inefficiency), social welfare maximization still remains a huge challenge in selfish routing, especially when travelers deviate from maximizing their own expected utilities. This paper proposes a novel informational intervention to improve the efficiency of selfish routing, especially in the presence of quantal response travelers. Specifically, modeling the interaction between the system and travelers as a Stackelberg game, and develop a novel approximate algorithm, called LoRI (which …

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Rate-Monotonic Scheduler For Lora-Based Smart Space Monitoring System, Preti Kumari, Hari Prabhat Gupta, Sajal K. Das, Rahul Bansal Jan 2023

Rate-Monotonic Scheduler For Lora-Based Smart Space Monitoring System, Preti Kumari, Hari Prabhat Gupta, Sajal K. Das, Rahul Bansal

Computer Science Faculty Research & Creative Works

Smart spaces system equipped with sensors to collect data that can be used to generate insights about its environmental conditions. Those collected data is then transmitted to the applications to enhance the comfort, quality of life, and security of the space. Long Range (LoRa) technology provides long distance coverage and consumes low energy which makes it suitable for smart space application. There are six virtual channels to transmit data in LoRa, however network faces the interference problem when nodes transmitted data at the same time. The interference problem makes LoRa less suitable for time-critical applications. To mitigate the interference problem, …

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Landmark Stereo Dataset For Landmark Recognition And Moving Node Localization In A Non-Gps Battlefield Environment, Ganesh Sapkota, Sanjay Madria Jan 2023

Landmark Stereo Dataset For Landmark Recognition And Moving Node Localization In A Non-Gps Battlefield Environment, Ganesh Sapkota, Sanjay Madria

Computer Science Faculty Research & Creative Works

In this paper, we have proposed a new strategy of using the landmark anchor node instead of a radio-Based anchor node to obtain the virtual coordinates (landmarkID, DISTANCE) of moving troops or defense forces that will help in tracking and maneuvering the troops along a safe path within a GPS-denied battlefield environment. the proposed strategy implements landmark recognition using the Yolov5 model and landmark distance estimation using an efficient Stereo Matching Algorithm. We consider that a moving node carrying a low-power mobile device facilitated with a calibrated stereo vision camera that can capture stereo images of a scene containing landmarks …

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Fedfast: Selective Federated Learning Using Fittest Parameters Aggregation And Slotted Clients Training, Ferdinand Kahenga, Antoine Bagula, Sajal K. Das Jan 2023

Fedfast: Selective Federated Learning Using Fittest Parameters Aggregation And Slotted Clients Training, Ferdinand Kahenga, Antoine Bagula, Sajal K. Das

Computer Science Faculty Research & Creative Works

This paper proposes a novel selective federated learning (FL) algorithm, called fittest aggregation and slotted training (FedFaSt). It relies on a 'free-for-all' client training process to score clients' efficiency while applying the 'natural selection' principle to elect the fittest clients to be used in FL training and aggregation processes. While relying on a combined data quality and training performance metric for scoring clients, FedFaSt implements a slotted training model enabling teams of fittest clients to participate in the training and aggregation processes for a fixed number of successive rounds, called slots. Performance validation using X-ray datasets reveals that FedFaSt outperforms …

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Chronic Environmental Circadian Disruption Increases Atherosclerosis And Dyslipidemia In Female, But Not Male, Apolipoproteine-Deficient Mice, Jeffrey M. Chalfant, Deborah A. Howatt, Victoria B. Johnson, Lisa R. Tannock, Alan Daugherty, Julie S. Pendergast Jan 2023

Chronic Environmental Circadian Disruption Increases Atherosclerosis And Dyslipidemia In Female, But Not Male, Apolipoproteine-Deficient Mice, Jeffrey M. Chalfant, Deborah A. Howatt, Victoria B. Johnson, Lisa R. Tannock, Alan Daugherty, Julie S. Pendergast

Teacher Education and Certification Faculty Research & Creative Works

Shift work chronically disrupts circadian rhythms and increases the risk of developing cardiovascular disease. However, the mechanisms linking shift work and cardiovascular disease are largely unknown. The goal of this study was to investigate the effects of chronically shifting the light-dark (LD) cycle, which models the disordered exposure to light that may occur during shift work, on atherosclerosis. Atherosclerosis is the progressive accumulation of lipid-filled lesions within the artery wall and is the leading cause of cardiovascular disease. We studied ApolipoproteinE-deficient (ApoE−/−) mice that are a well-established model of atherosclerosis. Male and female ApoE−/− mice were housed in control 12L:12D …

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Oil Recovery Performance And Asphaltene Deposition Evaluation Of Miscible And Immiscible Carbon Dioxide Or Nitrogen Huff-N-Puff Processes In Shale Reservoirs, Mukhtar Elturki, Abdulmohsin Imqam, Shari Dunn-Norman, Hasan Shaglouf, Ahmed Kablan Jan 2023

Oil Recovery Performance And Asphaltene Deposition Evaluation Of Miscible And Immiscible Carbon Dioxide Or Nitrogen Huff-N-Puff Processes In Shale Reservoirs, Mukhtar Elturki, Abdulmohsin Imqam, Shari Dunn-Norman, Hasan Shaglouf, Ahmed Kablan

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The utilization of gas enhanced oil recovery to extract oil from unconventional reservoirs has become a widely discussed topic, as it has proven to be effective in significantly boosting oil recovery rates. Among various enhanced oil recovery methods, Gas Enhanced Oil Recovery (GEOR) is a frequently implemented approach. However, a significant challenge encountered during the process of injecting Carbon Dioxide (CO2) or Nitrogen (N2) to displace oil is the occurrence of asphaltene precipitation and deposition, which can impede production. This work is an experimental study to examine the effects of cyclic (huff-n-puff) CO2 or N …

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The Success Story Of First Ever Polymer Flood Field Pilot To Enhance The Recovery Of Heavy Oils On Alaska's North Slope, Abhijit Dandekar, Baojun Bai, John Barnes, Dave Cercone, Reid Edwards, Samson Ning, Randy Seright, Brent Sheets, Dongmei Wang, Yin Zhang Jan 2023

The Success Story Of First Ever Polymer Flood Field Pilot To Enhance The Recovery Of Heavy Oils On Alaska's North Slope, Abhijit Dandekar, Baojun Bai, John Barnes, Dave Cercone, Reid Edwards, Samson Ning, Randy Seright, Brent Sheets, Dongmei Wang, Yin Zhang

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The primary goal of the first ever polymer flood field pilot at Milne Point is to validate the use of polymers for heavy oil Enhanced Oil Recovery (EOR) on Alaska North Slope (ANS). The specific objectives are systematic evaluation of advanced technology that integrates polymer flooding, low salinity water flooding, horizontal wells, and numerical simulation based on polymer flood performance data. Accordingly, under the co-sponsorship of the US Department of Energy and Hilcorp Alaska LLC the first ever polymer field pilot commenced on August 28, 2018 in the Schrader Bluff heavy oil reservoir at the Milne Point Unit (MPU) on …

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Descriptive Systematics Of Upper Palaeocene–Lower Eocene Pollen And Spores From The Northern Niger Delta, South-Eastern Nigeria, Luke Mander, Carlos Jaramillo, Francisca Oboh-Ikuenobe Jan 2023

Descriptive Systematics Of Upper Palaeocene–Lower Eocene Pollen And Spores From The Northern Niger Delta, South-Eastern Nigeria, Luke Mander, Carlos Jaramillo, Francisca Oboh-Ikuenobe

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Fossil pollen and spores are a vital source of information on the geological history of tropical vegetation including reconstructions of vegetation diversity and composition. However, such work relies on a sound taxonomic framework, and this is challenging to achieve because of the large number of pollen and spore morphotypes that are encountered in palynological preparations from tropical sediments. In tropical West Africa, for example, extensive taxonomic work on Cretaceous–Paleogene pollen and spores was undertaken in the later part of the twentieth century, but more recent palynological work has focused on stratigraphy and basin evolution, and there is a need for …

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Experimental Study: Investigating The Anions And Cations' Effects On The Elasticity Of The Anionic And Cationic High Viscosity Friction Reducers, Xiaojing Ge, Ghith Biheri, Abdulmohsin Imqam, Baojun Bai, Yuwei Zhang Jan 2023

Experimental Study: Investigating The Anions And Cations' Effects On The Elasticity Of The Anionic And Cationic High Viscosity Friction Reducers, Xiaojing Ge, Ghith Biheri, Abdulmohsin Imqam, Baojun Bai, Yuwei Zhang

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

High viscosity friction reducers (HVFRs) are widely used as friction-reducing agents and proppant carriers during hydraulic fracturing. The reuse of produced water has gained popularity due to environmental and economic benefits. Currently, the field's most commonly used friction reducers are anionic and cationic HVFRs. Anionic HVFRs are typically pumped with freshwater, while cationic HVFRs are used with high Total Dissolved Solids (TDS) produced water. Cationic friction reducers are believed to have better TDS tolerance, friction reduction performance, and proppant transport capabilities compared to anionic friction reducers under high TDS conditions due to their superior viscoelastic properties. In addition, the impact …

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Kinetic Experimental And Modeling Evaluations Of Asphaltene Morphology And Growth Rate Under Varying Temperature And Brine Conditions, Kwamena Ato Quainoo, Abdulmohsin Imqam, Cornelius Borecho Bavoh Jan 2023

Kinetic Experimental And Modeling Evaluations Of Asphaltene Morphology And Growth Rate Under Varying Temperature And Brine Conditions, Kwamena Ato Quainoo, Abdulmohsin Imqam, Cornelius Borecho Bavoh

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The utilization of predictive mechanisms to resolve asphaltene precipitation during oil production is a cleaner and less expensive means than the mechanical/chemical remediation techniques currently employed. Existing models lack predictive success due to opposing views on temperature-asphaltene precipitation interactions. In this study, the effect of varying temperatures (40, 50, 60, 70 80 and 90 °C) and brine concentrations (0 – 5 wt.%) on the long-time kinetics of asphaltene precipitations was evaluated. A series of experiments were conducted using the filtration technique and the confocal microscopy to study asphaltene precipitation on a model oil system consisting of asphaltenes, a precipitant, and …

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Risk As A Process: A History Informed Hazard Planning Approach Applied To The 2018 Post-Fire Debris Flows, Montecito, California, Anna Serra-Llobet, John Radke, G. Mathias Kondolf, Larry Gurrola, J. David Rogers, Sarah Lindbergh, Johnny Douvinet Jan 2023

Risk As A Process: A History Informed Hazard Planning Approach Applied To The 2018 Post-Fire Debris Flows, Montecito, California, Anna Serra-Llobet, John Radke, G. Mathias Kondolf, Larry Gurrola, J. David Rogers, Sarah Lindbergh, Johnny Douvinet

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Historical information about floods is not commonly used in the US to inform land use planning decisions. Rather, the current approach to managing floods is based on static maps derived from computer simulations of the area inundated by floods of specified return intervals. These maps provide some information about flood hazard, but they do not reflect the underlying processes involved in creating a flood disaster, which typically include increased exposure due to building on flood-prone land, nor do they account for the greater hazard resulting from wildfire. We developed and applied an approach to analyze how exposure has evolved in …

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Magnetic Inversion Approach For Modeling Data Acquired Across Faults: Various Environmental Cases Studies, Khalid S. Essa, Eid R. Abo-Ezz, Neil Lennart Anderson, Omar A. Gomaa, Mahmoud Elhussein Jan 2023

Magnetic Inversion Approach For Modeling Data Acquired Across Faults: Various Environmental Cases Studies, Khalid S. Essa, Eid R. Abo-Ezz, Neil Lennart Anderson, Omar A. Gomaa, Mahmoud Elhussein

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

An effective extension to the particle swarm optimizer scheme has been developed to visualize and modelize robustly magnetic data acquired across vertical or dipping faults. This method can be applied to magnetic data sets that support various investigations, including mining, fault hazards assessment, and hydrocarbon exploration. The inversion algorithm is established depending on the second horizontal derivative technique and the particle swarm optimizer algorithm and was utilized for multi-source models. Herein, the inversion method is applied to three synthetic models (a dipping fault model contaminated without and with different Gaussian noises levels, a dipping fault model affected by regional anomaly, …

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Impact Of Hvfr Loading Concentrations On Its Viscoelastic Properties And Proppant Transport Performance, Ghith Biheri, Shari Dunn Norman, Abdulmohsin Imqam Jan 2023

Impact Of Hvfr Loading Concentrations On Its Viscoelastic Properties And Proppant Transport Performance, Ghith Biheri, Shari Dunn Norman, Abdulmohsin Imqam

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

In unconventional reservoirs, increasing the low formation conductivities through hydraulic fracturing may substantially increase oil production from wells. This work of improving the fracture conductivity could be conducted by distributing and transporting proppant within the fracture lengths using high fracture fluid concentrations. This research focused on three areas. First, it assessed the fluid rheology including the viscosity and elasticity of a high viscosity friction reducer (HVFR) and linear guar using deionized (DI) water at different fluid concentrations (i.e., 2, 4, and 8 gpt for the HVFR and 15, 25, and 35 ppt for linear guar), and measured the impact of …

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Comparative Study Of Proppant Transport In The Vertical Fracture For High Viscosity Friction Reducers And Slickwater Fracturing With High-Tds Marcellus Shale Formation Water, Xiaojing Ge, Abdulmohsin Imqam, Baojun Bai Jan 2023

Comparative Study Of Proppant Transport In The Vertical Fracture For High Viscosity Friction Reducers And Slickwater Fracturing With High-Tds Marcellus Shale Formation Water, Xiaojing Ge, Abdulmohsin Imqam, Baojun Bai

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

High viscosity friction reducers (HVFRs) have been gaining more attention and increasing in use as proppant carriers. Reusing of produced water has also been driven by both environmental and economic benefits. However, high total dissolved solids (TDS) of produced water and high reservoir temperature significantly decrease the viscoelastic properties of HVFRs even for the cationic ones, which further reduce their proppant transport capabilities. Increasing loadings of HVFRs also has very limited effects on improving their proppant transport performances under high-TDS and high-Temperature conditions. The ultimate objective of this experimental study is to investigate the injection rate effects on the proppant …

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Thermal And Electrical Properties Of Spark Plasma Sintered (Ti,Cr)B2 Ceramics, Steven M. Smith, Lun Feng, William Fahrenholtz, Gregory E. Hilmas, Laura Silvestroni Jan 2023

Thermal And Electrical Properties Of Spark Plasma Sintered (Ti,Cr)B2 Ceramics, Steven M. Smith, Lun Feng, William Fahrenholtz, Gregory E. Hilmas, Laura Silvestroni

Materials Science and Engineering Faculty Research & Creative Works

Thermal and electrical properties were measured for TiB2 ceramics containing varying CrB2 contents up to 33 mol%. The room-temperature thermal diffusivity decreased with increasing Cr content from 0.330 ± 0.003 cm2/s for pure TiB2 to 0.060 ± 0.003 cm2/s for (Ti0.66Cr0.33)B2. The amount of anisotropy in the coefficients of thermal expansion increased with increasing Cr content and the c-axis had the greatest dependence on Cr addition, with an increase of more than 25% in the thermal expansion for 33 mol% CrB2 compared to TiB2, whereas the …

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