College of Engineering: Recent submissions
Now showing items 2021-2040 of 8755
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Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Despite significant improvements over the last few years, cloud-based healthcare applications continue to suffer from poor adoption due to their limitations in meeting stringent security, privacy, and quality of service ... -
A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Objective: Scarcity of good quality electroencephalography (EEG) data is one of the roadblocks for accurate seizure prediction. This work proposes a deep convolutional generative adversarial network (DCGAN) to generate ... -
A Holistic Education for the 21st Century Engineer Based on Wisdom and Multiplexity
( IOS Press BV , 2022 , Conference)In a volatile, uncertain, complex, and ambiguous (VUCA) 21st-century world, there is a great need for drawing upon capacity for holistic thinking and wisdom. We need to leverage multiple transdisciplinary thinking that ... -
Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges
( Elsevier , 2022 , Article Review)As the globally increasing population drives rapid urbanization in various parts of the world, there is a great need to deliberate on the future of the cities worth living. In particular, as modern smart cities embrace ... -
Toward accountable human-centered AI: rationale and promising directions
( Emerald Group Holdings Ltd. , 2022 , Article Review)Purpose: Along with the various beneficial uses of artificial intelligence (AI), there are various unsavory concomitants including the inscrutability of AI tools (and the opaqueness of their mechanisms), the fragility of ... -
Robust Enhancement of Intrusion Detection Systems Using Deep Reinforcement Learning and Stochastic Game
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)The incorporation of advanced networking technologies makes modern systems vulnerable to cyber-attacks that can result in a number of harmful outcomes. Due to the increase of security incidents and massive activities on ... -
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Deep reinforcement learning (DRL) has numerous applications in the real world, thanks to its ability to achieve high performance in a range of environments with little manual oversight. Despite its great advantages, DRL ... -
Prediction of critical total drawdown in sand production from gas wells: Machine learning approach
( John Wiley and Sons Inc , 2023 , Article)Sand production is a critical issue in petroleum wells. The critical total drawdown (CTD) is an essential indicator of the onset of sand production. Although some models are available for CTD prediction, most of them are ... -
Iron Sulfide Scale Inhibition in Carbonate Reservoirs
( American Chemical Society , 2022 , Article)Hydrocarbon production operations include water injection, varying stimulation approaches, and enhanced oil recovery techniques. These treatments often affect reservoir formation, production, and injection facilities. Such ... -
Applications of Machine Learning Methods to Predict Hole Cleaning in Horizontal and Highly Deviated Wells
( Society of Petroleum Engineers (SPE) , 2023 , Conference)Machine learning (ML) has become a robust method for modeling field operations based on measurements. For example, wellbore cleanout is a critical operation that needs to be optimized to enhance the removal of solids to ... -
Effect of Fluid Viscosity and Fiber Length on the Performance of Fibrous Fluid in Horizontal Well Cleanout
( Society of Petroleum Engineers (SPE) , 2023 , Article)During drilling, completion, and intervention operations, solids can deposit in the wellbore. Innovative cleanout fluids reduce the problems associated with inadequate hole cleaning. Various methods have been developed to ... -
Synthesis and performance evaluation of poly (acrylamide-co-malonic acid) as FeS scale inhibitor: experimental and theoretical investigations
( Institute for Ionics , 2023 , Article)This article reports on poly (acrylamide-co-malonic acid) and poly(AM-co-MAc) copolymers that inhibit the iron sulfide scale. The iron sulfide scale is considered as one of the most challenging oilfield scales to dissolve ... -
A robust Gaussian process regression-based model for the determination of static Young's modulus for sandstone rocks
( Springer Science and Business Media Deutschland GmbH , 2023 , Article)Static Young's modulus (Es) is one of the leading mechanical rock properties. The Es can be measured from experimental lab methods. However, these methods are costly, time-consuming, and challenging to collect samples. ... -
Hydrogen storage in gas reservoirs: A molecular modeling and experimental investigation
( Elsevier , 2023 , Article)Hydrogen is one of the clean energy sources that can be used instead of fossil fuel sources to reduce greenhouse emissions. However, hydrogen supply intermittency significantly reduces the deployment and reliability of ... -
Molecular simulations in upstream applications
( Elsevier , 2023 , Book chapter)The development of powerful computers and molecular simulation has allowed researchers to use them to get useful information about electronic properties related to chemical and physical interactions at the molecular level. ... -
A reservoir bubble point pressure prediction model using the Adaptive Neuro-Fuzzy Inference System (ANFIS) technique with trend analysis
( Public Library of Science , 2022 , Article)The bubble point pressure (Pb) could be obtained from pressure-volume-temperature (PVT) measurements; nonetheless, these measurements have drawbacks such as time, cost, and difficulties associated with conducting experiments ... -
Phosphonated Lower-Molecular-Weight Polyethyleneimines as Oilfield Scale Inhibitors: An Experimental and Theoretical Study
( American Chemical Society , 2022 , Article)For many years, amino methylenephosphonate (-CH2-N-PO3H2)-based scale inhibitors (SIs) have been deployed for preventing various scales in the oil and gas industry, particularly for squeeze treatment applications. However, ... -
A sustainable approach to synthesize phosphonated chitosan using ball milling and its application for oilfield scale management
( Royal Society of Chemistry , 2022 , Article)For many years, the oil and gas industry has strived to develop environmentally friendly organophosphorus-based scale inhibitors. The natural polymer chitosan has recently gained significant importance for various upstream ... -
Synthesis of Nanosilica for the Removal of Multicomponent Cd2+ and Cu2+ from Synthetic Water: An Experimental and Theoretical Study
( MDPI , 2022 , Article)Copper and cadmium ions are among the top 120 hazardous chemicals listed by the Agency for Toxic Substances and Disease Registry (ATSDR) that can bind to organic and inorganic chemicals. Silica is one of the most abundant ... -
Fluid-rock interactions in tight gas reservoirs: Wettability, pore structural alteration, and associated multiphysics transport
( Elsevier , 2023 , Book chapter)Tight and unconventional reservoirs such as shales are rich in clay minerals that give rise to several fluid-rock interactions. The effect of such fluid-rock interactions is manifested at multiscales. The fluid-rock ...
