Chemical Engineering Commons^™

Optimization And Dft Study For Boosted Electooxidation Of Formic Acid At Niox Modified Pt Using Urea Derivatives As Blending Fuels, Aya Saada

Biochemical Engineering

This paper addresses the enhancement of formic acid electrooxidation (FAO) at Pt and Pt-NiOx nanoparticles based-catalysts assisted with urea derivatives as blending fuels. Blending formic acid with various ratios of urea derivatives showed noticeable enhancements of FAO as demonstrated by a favorable negative shift of its onset potential (Eonset) and increase of its peak current density concurrently with suppression of the amount of CO poisoning reaction intermediate. Among all the used derivatives, phenyl urea (PU) showed superior enhancing effect towards the direct FAO with a minimal CO formation together with a favorable negative shift of Eonset by 150 mV. The …

Modeling Virus Filtration: Materials, Applications, And Mechanism, Hironobu Shiritaki, Linda Gudex, Sumith R. Wickramasinghe

Chemical Engineering Faculty Publications and Presentations

While various methods are employed to ensure the virus safety of finished products, virus filtration (VF) stands out as the preferred method for virus removal and purification of a wide variety of products owing to its capability of separating product molecules with more than 90% recovery and no change in molecule characteristics. The modeling of the virus removal process for VF membranes is based on the principles of microfiltration (MF) and ultrafiltration (UF), but with modifications for the much narrower separation difference, which is less than 2-fold for the separation of product molecules and virus particles. In this review, we …

Transfer Learning For Thickener Control, Samuel Arce Munoz, John Hedengren

Faculty Publications

Thickener control is a key area of focus in the minerals processing industry, particularly due to its crucial role in water recovery, which is essential for sustainable resource management. The highly nonlinear nature of thickener dynamics presents significant challenges in modeling and optimization, making it a strong candidate for advanced surrogate modeling techniques. However, traditional data-driven approaches often require extensive datasets, which are frequently unavailable, especially in new plants or unexplored operational domains. Developing data-driven models without enough data representative of the dynamics of the system could result in incorrect predictions and consequently, unstable response of the controller. This paper …

Cold-Plasma-Driven Ammonia Synthesis Over Porous Silica: The Role Of The Morphology, Fnu Gorky, Vashantu Storr, Jacek B. Jasinski, Maria L. Carreon

Chemical Engineering Faculty Publications and Presentations

Nonthermal plasma (NTP) has opened unexplored routes for small-scale, decentralized ammonia production. However, understanding the ammonia formation pathways when employing NTP-driven processes is challenging due to the complex nature of the process. In this work, we report the effects of the morphology and textural properties on ammonia production. Herein, we explore mesoporous and macroporous regimes in silica. Performance of mesoporous silica with a gyroid morphology displays the highest ammonia production rate of 160.7 mu mol/ming-cat at a plasma power of 15 W. The findings from this work provide insights into tailoring porous structures and morphology for ammonia production powered by …

Effectiveness Of Natural Coagulants In Purification Of Industrial Wastewater: A Case Of Cactus Pads And Watermelon Seeds, Neema O. Msuya

Tanzania Journal of Engineering and Technology (TJET)

This study assessed the potential of cactus pads and watermelon seeds as natural coagulants in industrial wastewater treatment. The global characterization of the two coagulants was done by using the Fourier Transform Infrared (FTIR) to determine the specific functional groups and by zeta potential measurements. A full factorial design was used to design the experiment and analyze the effect of three factors: coagulant dosage, settling time and particle size with three levels each and one replicate on the turbidity removal. ANOVA analyses were used to determine the significance of the factors. Results show that the amino and hydroxyl groups in …

Non-Catalytic Direct Partial Oxidation Of Methane To Methanol In A Wall-Coated Microreactor, Kelly Cohen

LSU Doctoral Dissertations

This project used an integrated mixer-reactor-heat exchanger microtube scalable module for the non-catalytic direct partial oxidation of methane in natural gas to methanol at elevated pressures (70-95 bar), reaction temperatures of 380-460C, reactant methane:air ratios of 0.5-4.4 and reaction zone residence times on the order of 1 min. Currently, methane in remote locations is often flared in large quantities rather than transported or converted to the more easily transportable methanol. However, if this gaseous methane were converted to liquid methanol at the wellhead, it could be transported in ways other than pipeline or used onsite.

Additionally, methane is currently converted …

Development And Characterization Of Polysaccharide-Based Controlled Drug Delivery Platforms, Amanda Pepler

Open Access Dissertations

Drug delivery research focuses on overcoming challenges in patient treatment. Most therapeutics are delivered systemically through oral or intravenous routes. However, these administration methods are often inefficient due to therapeutic hydrophobicity, poor bioavailability, and liver metabolic clearance, necessitating frequent dosing. When treatment plans require frequent dosing, patients experience significant fluctuations in therapeutic concentration in the bloodstream, which can increase adverse side effects. These factors contribute to low patient compliance. Therefore, the core focus of drug delivery research is to develop new administration routes for therapeutics. Drug delivery systems (DDS) that can target therapeutics to a localized region offer advantages over …

Handling Emerging Sources Of Non-Determinism: Proportional Control With Quantum Noise, And Lyapunov-Based Economic Model Predictive Control To Address Stability, Profitability, And Dynamics Of Nonlinear Systems Under Cyberattack, Keshav Kasturi Rangan

Wayne State University Dissertations

The fundamental objective of process control is to establish safe process operating conditions while ensuring minimal economic loss. One of the fundamental challenges of achieving this objective is non-determinism from various sources that can create unexpected process behavior. A traditional goal in industrial process control is the rejection of disturbances, which are time-varying process inputs that are not directly modified by the control system. Other sources of uncertainty can include measurement inaccuracies/noise and changes in process dynamics as a plant operates. Many techniques have been developed to ensure notions of stabilization and safety despite these sources of stochasticity for both …

Rhamnolipid As An Effective Srb Biocide – Determining A Solution To Replicate Anticipated Conditions, Elizabeth Zimmerer

Williams Honors College, Honors Research Projects

This project aimed to develop a laboratory-scale solution that replicates produced water conditions (CO₂ + brine) found in crude pipelines, with the added requirement of promoting the growth of sulfate-reducing bacteria (SRB). A previously successful study was used as a reference, which employed a hybrid salt solution containing essential nutrients and environmental factors. The proposed solution included 10 g sodium chloride, 1 g sodium pyruvate, 0.2 g ammonium chloride, and 0.8 g sodium sulfate per liter of deionized water. Electrochemical testing (Linear Polarization Resistance and Electrochemical Impedance Spectroscopy) was performed on solutions with and without rhamnolipid. Results from the …

A New Deep Decoder Type Cascaded Feedforward Neural Network For Critical Heat Flux Prediction In Power Reactors, Rehan Zubair Khalid, Atta Ullah, Asifullah Khan, Mansoor Hameed Inayat, Muthanna H. Al-Dahhan

Chemical and Biochemical Engineering Faculty Research & Creative Works

Critical Heat Flux (CHF) is a fundamental parameter for ensuring the performance, reliability, safety, and economic viability of water-cooled nuclear reactors. Despite its significance, the absence of a deterministic theory for CHF prediction poses a substantial challenge in thermal engineering. Consequently, various experimental and numerical models have been developed, yet no universally accepted model comprehensively addresses the wide range of flow conditions encountered in practical applications. The accurate prediction of CHF remains a complex and critical task. This work introduces a novel Deep Decoder Type Cascaded feedforward Neural Network (DD-CFNN) to predict CHF across a broad spectrum of operating conditions. …

Enhancing Energy Efficiency In Solar Thermal Systems: The Role Of Hybrid Nanofluids In Sustainable Energy Harvesting And Storage, Seyedehzahra Haeri

Theses: Doctorates and Masters

Global energy demand continues to grow, making the reliance on fossil fuels increasingly unsustainable due to dwindling reserves and environmental impacts. Among these, solar thermal systems have emerged as a practical and environmentally friendly solution, with applications ranging from industrial heating and solar water heating to concentrated solar power (CSP) plants and solar desalination units. Solar-based thermal systems offer a promising alternative, with nanofluids (NFs) emerging as a transformative solution. Engineered by dispersing nanoparticles into base fluids, NFs enhance thermal conductivity, heat absorption, and efficiency. Notably, nanoparticles such as titanium nitride also act as nano-catalysts, improving chemical reactions and reducing …

Zirconium-Based Amphoteric Metal–Organic Framework Membrane For Blue Energy Harvesting, Rockson Kwesi Tonnah, Milton Chai, Mohammad Khedri, Milad Razbin, Yasaman Boroumand, Reza Maleki, Huan Xiao, Amir Razmjou, Mohsen Asadnia

Research outputs 2022 to 2026

Salination of solutions of salinity gradient releases large-scale clean and renewable energy, which can be directly and efficiently transformed into electrical energy using ion-selective nanofluidic channel membranes. However, conventional ion-selective membranes are typically either cation- or anion-selective. A pH-switchable system capable of dual cation and anion transport along with salt gradient energy harvesting properties has not been demonstrated in ion-selective membranes. Here, we constructed an amphoteric heterolayer metal–organic framework (MOF) membrane with subnanochannels modified with carboxylic and amino functional groups. The amphoteric MOF-composite membrane, AAO/aUiO-66-(COOH)2/UiO-66-NH2, exhibits pH-tuneable ion conduction and achieves osmotic energy conversion of 7.4 and 5.7 W/m^{2 …}

Smart And Sustainable Regeneration Of Fouled Desalination Membranes Using Artificial Intelligence, Muhammad Mubashir, Mustakeem Mustakeem, Ammar Alnumani, Abdulrahman Abutaleb, Ali Hamoud Naji Sumayli, Tausif Ahmad, Muhammad Rizwan Azhar

Research outputs 2022 to 2026

During the desalination process, scaling, fouling, and degradation are associated issues that lead to a drop in the separation performance of membranes. Membrane regeneration emerges as a critical technology in which upcycling and downcycling can offer a promising avenue for promoting sustainable membrane lifecycle management. Multiple research papers and reviews have critically analyzed the regeneration of membranes, which explains the end-of-cycle assessment and cost analysis of membrane recycling. However, challenges associated with the conventional and innovative regeneration processes are not yet analyzed. The potential impact of artificial intelligence (AI) on membrane regeneration is not explained in the literature. This review …

Development And Characterization Of Sustainable Coal–Biomass Briquettes Of Sub-Bituminous Coal And Levistona Chinensis Biomass, Amad Ullah Khan, Borhen Louhichi, Muhammad Abas, Muhammad Saleem, Nashmi H. Alrasheedi, Farida Anjum, Aamer Sharif

Research outputs 2022 to 2026

The increasing demand for sustainable energy solutions has driven the exploration of alternative fuels, such as coal–biomass briquettes, which combine the benefits of both coal and renewable biomass sources. This study focuses on the development and characterization of sustainable coal–biomass briquettes made from sub-bituminous coal (SubC) and Levistona chinensis seed biomass, with the aim of reducing environmental impact and enhancing combustion properties. Briquettes were produced by varying the coal-to-biomass ratios (90:0–0:90), with 10% corn starch used as a binder. Proximate analysis revealed that increasing biomass content raised moisture (5.85%–14.25%) and volatile matter (VM; 24.75%–32.5%), while reducing ash (15.75%–3.39%) and fixed …

The Strengthening Mechanisms And Incipient Plasticity Of Additively Manufactured Biomedical Refractory High Entropy Alloys, Changxi Liu, Liqiang Wang, Miao Luo, Kuaishe Wang, Marco De Battista, Ling Zhang, Weijie Lu, Lai Chang Zhang, Di Zhang

Research outputs 2022 to 2026

Owing to the cellular structure that limits dislocation motion upon stress loading, additively manufactured (AM) refractory high-entropy alloys (HEAs) exhibit an excellent strength-plasticity synergy. This work integrates micro/nano-mechanical experiments with statistical physics modeling to examine dislocation nucleation and slip in AM-fabricated TiNbTaZrMo HEA. Computational results indicated that the activation volume for initial dislocation nucleation is about one atomic volume, facilitating dislocation initiation. Nanoindentation and in-situ micro-pillar compression reveal no significant pop-in events, indicating that the cellular structure impedes dislocation slip and thus prevents plasticity reduction from dislocation slipping near grain boundaries. This work provides a thorough investigation into the interplay …

3d Engineered Scaffolds Of Conjugated Polymers/Metal Organic Frameworks For Biomedical Applications, Amin Hosseini Sharifabad, Roham Ghanbari, Mohammad Reza Saeb, Ehsan Nazarzadeh Zare, Filippo Rossi, Mehdi Salami-Kalajahi, Pooyan Makvandi

Research outputs 2022 to 2026

The extracellular matrix can be replicated by 3D scaffolds, providing a favorable environment for cell growth, proliferation, and differentiation. Despite their biocompatibility, biodegradability, and bioactivity, the poor mechanical strength of 3D scaffolds limits their use for heavy loads. This creates a bottleneck in the supply of scaffolds with enhanced mechanical strength and all the previously mentioned characteristics. Conjugated polymers have emerged as a promising option for 3D scaffold construction due to their electrical conductivity, adjustable surface qualities, and ability to transfer bioactive molecules. Moreover, metal-organic frameworks (MOFs) are a rapidly emerging class of nanomaterials due to their uniform porosity, excellent …

Fatigue Properties Of 3d-Printed Polymeric Metamaterials: A Review, Ani Daniel, Hamed Bakhtiari, Alireza Nouri, Barun K. Das, Muhammad Aamir, Majid Tolouei-Rad

Research outputs 2022 to 2026

The present article provides an in-depth review of the fatigue properties of polymeric metamaterials, with particular emphasis on those manufactured using 3D printing techniques. Despite the significant potential of 3D-printed metamaterial polymers in the biomedical field, there has been limited studies dedicated to their fatigue behaviour. The article highlights the significance of fatigue behaviour in determining the reliability and longevity of polymeric materials under cyclic loading, which is crucial for biomedical applications. The effects of different 3D printing parameters, metamaterial designs, and polymer properties on fatigue life are explored. The fatigue response of metamaterials depends on material properties, geometric factors, …

Challenges And Perspectives On Photocatalytic Membrane Reactors For Volatile Organic Compounds Degradation And Nitrogen Oxides Treatment, Muhammad Hassnain, Muhammad Rizwan Azhar, Asad Ali, Muhammad Mubashir, Abdulrahman Abutaleb

Research outputs 2022 to 2026

Air pollution is a pressing environmental and public health issue, with volatile organic compounds (VOCs) and nitrogen oxides (NOx) being among the most hazardous airborne pollutants. Photocatalytic membrane reactors (PMRs) have emerged as a promising technology for air purification due to their ability to integrate photocatalytic degradation and membrane separation in a single system. This paper provides a comprehensive review of the advancements, challenges, and future prospects of PMR technology for VOC degradation and NOx treatment. Various photocatalytic membranes and their fabrication techniques, including material selection, structural modifications, and catalyst immobilization strategies, are critically analyzed. The study further explores different …

Excellent Strength-Ductility Synergy Property Of Wire-Arc Additively Manufactured Mg-Gd-Y-Zr Alloy Investigated By Heat Treatment, Jiamin Li, Meng Huang, Juan Hou, Xingbin Wang, Gaopeng Xu, Yi Yang, Ning Mo, Yun Shi, Laichang Zhang, Weineng Tang

Research outputs 2022 to 2026

In this work, the GW63K (Mg-6.54Gd-3.93Y-0.41Zr, wt.%) alloy wire was utilized as the feedstock material and the thin-walled component was fabricated using wire-arc additive manufacturing technology (WAAM). The microstructural evolution during deposition and subsequent heat treatment was explained through multi-scale microstructural characterization techniques, and the impact of heat treatment on the strength-ductility synergy of the deposited alloy was systematically compared. The results showed that the microstructure of the deposited sample was mainly composed of fine equiaxed α-Mg grains and Mg24(Gd,Y)5 phase. The optimized solution heat treatment (450 °C × 2 h) had little effect on the grain size, but can …

3d Printing Parameter Optimisation Combined With Heat Treatment For Achieving High Density And Enhanced Performance In Refractory High-Entropy Alloys, Deyu Jiang, Miao Luo, Changxi Liu, Yashuo Zhang, Lai Chang Zhang, Kuaishe Wang, Wen Wang, Lechun Xie, Liqiang Wang, Weijie Lu, Di Zhang

Research outputs 2022 to 2026

In this study, a Ti1.5Nb1Ta0.5Zr1Mo0.5 (TNTZM) high-entropy alloy was fabricated using laser powder bed fusion (LPBF). By integrating 63 sets of parameter trials with machine learning (ML) models, an optimised process window was identified, achieving a density of up to 99.9%. The combination of relatively high laser power and low scanning speed resulted in the formation of a stable cellular structure. Subsequent heat treatments at 700, 850, and 1000°C showed that while small-angle misorientations developed at cell-wall interfaces and medium-entropy (Ti–Zr–Mo) second-phase particles precipitated preferentially in the cell walls, the overall cellular architecture remained intact. Mechanical testing showed that these …

Photo-Thermal Conversion Properties Of Hybrid Nh2-Mil-125/Tin/Eg Nanofluids For Solar Energy Harvesting, Seyedeh Zahra Haeri, Mehdi Khiadani, Bahram Ramezanzadeh, Hamed Kariman, Masoumeh Zargar

Research outputs 2022 to 2026

Nanofluids, engineered by dispersing nanoparticles into base fluids, have demonstrated significant potential in enhancing the performance of solar collectors. Their superior thermal conductivity and improved heat transfer properties lead to more efficient energy absorption and utilization in solar thermal systems. This study comprehensively investigated and compared the performance of ethylene glycol (EG)-based NH2-MIL-125/TiN (MIL/TiN) composite nanofluids, fabricated by a two-step method, with single-component nanofluids in photothermal utilization. The results illustrated that incorporating NH2-MIL-125 (MIL) nanoparticles enhances the stability of TiN nanofluids in EG. Additionally, the thermal conductivity and optical absorption properties of the hybrid nanofluids exhibited a positive correlation with …

Advances, Limitations, And Future Perspectives In 3d Printing Of Porous Glasses: A Technical Note, Hamed Bakhtiari, Mostafa Omidi Bidgoli, Mohammad Hosseini

Research outputs 2022 to 2026

In this study, the latest developments in 3D printing of porous glasses are discussed. Current challenges in 3D printing of porous-based microfluidic devices mostly include the printing resolution which is correlated with the processing time, post treating, and developing tailored materials for porous glasses. Although the latter issue has been resolved to some extent recently, the former has remained a challenge. Currently, the smallest 3D printed feature in a microfluidic structure is 200µm while higher resolutions are required in some applications. On the other hand, previous reports have shown intensive printing time for higher resolutions. To achieve an optimal compromise, …

Methylene Blue Adsorption On Y-Zeolite As A Nano-Porous Adsorbent: Equilibrium And Kinetic Studies, Mehdi Narimani, Maryam Gonbadi, Mohammad Mahdi Zerafat

Research outputs 2022 to 2026

The elimination of dye pollutants from industrial wastewaters, notably from sectors such as textiles and dyeing, remains a pivotal aspect of pollution mitigation endeavours. This research introduces an innovative strategy employing Y zeolite as a nano-porous adsorbent for eliminating methylene blue (MB), a prevalent cationic dye. Y zeolite was synthesised via hydrothermal technique. Through methodical experimentation, the impact of temperature, contact time, concentration, pH and adsorbent quantity on removal efficiency were examined with optimal conditions achieving 93.83% MB removal. The synthesised Y zeolite underwent characterisation utilising diverse techniques, including SEM, TEM, XRD, BET, and FTIR, which elucidated the structural and …

Evaluation Of Physical And Chemical Stability In Liposomes Composed Of Mixed Phospholipids, Sharareh Rezaei, Kenny Mineart

Master’s Theses

Liposomes, spherical vesicles composed of lipid bilayers, are widely used in drug delivery due to their biocompatibility, biodegradability, and ability to interact with biological membranes. Despite these advantages, liposomes remain moderately unstable systems, highly susceptible to environmental stressors such as pH fluctuations, ionic strength variations, temperature changes, and interactions with other components. Addressing both chemical and physical instability is essential for translating liposomal formulations from experimental formulation to viable pharmaceutical products.

This study investigates the physicochemical characteristics of a mixed-phospholipid system in which one lipid is saturated, and the other is unsaturated (DMPC and DOPC respectively). Liposomes are prepared using …

Polymorphism And Mechanical Behavior In Hot-Pressed 3d-Printed Polyamide Composite: Effects Of Pressure And Temperature, John Barber, Patricia Revolinsky, Jimesh Bhagatji, Diego Pedrazzoli, Sergii Kravchenko, Oleksandr Kravchenko

Mechanical & Aerospace Engineering Faculty Publications

The aim of this work is to study the effect of high-temperature compaction (HTC) upon the polymorphism and the mechanical behavior of an additively manufactured (AM) carbon fiber-reinforced polyamide (PA6). Different pressure and temperature levels during HTC were tested to determine the overall effect on the mechanical behavior and material crystalline composition. Treated, carbon fiber-reinforced PA6 samples were analyzed using differential scanning calorimetry, X-ray diffraction, thermogravimetric analysis, scanning electron microscopy, and three-point bending testing. When considered with respect to as-printed samples, an HTC temperature of 190 °C combined with 80 psi pressure resulted in an increased flexural modulus and strength …

A Comprehensive Review Of Piezoelectric Pvdf Polymer Fabrications And Characteristics, Nadia Ahbab, Sidra Naz, Tian-Bing Xu, Shihai Zhang

Mechanical & Aerospace Engineering Faculty Publications

Polyvinylidene fluoride (PVDF) polymer films, renowned for their exceptional piezoelectric, pyroelectric, and ferroelectric properties, offer a versatile platform for the development of cutting-edge micro-scale functional devices, enabling innovative applications ranging from energy harvesting and sensing to medical diagnostics and actuation. This paper presents an in-depth review of the material properties, fabrication methodologies, and characterization of PVDF films. Initially, a comprehensive description of the physical, mechanical, chemical, thermal, electrical, and electromechanical properties is provided. The unique combination of piezoelectric, pyroelectric, and ferroelectric properties, coupled with its excellent chemical resistance and mechanical strength, makes PVDF a highly valuable material for a wide …

Transfection Of Ionizable Lipid Nanoparticles On Raw 264.7 And Mda-Mb-231, Lavanya Bhargava

Masters Theses

"This thesis investigates the preparation, characterization, and transfection efficiency of various ionizable lipid nanoparticles (LNPs) formulated for the delivery of mRNA encoding enhanced green fluorescent protein (EGFP) in RAW 264.7 macrophages and MDA-MB-231 breast cancer cell lines. The ionizable cationic lipid studied are ALC-035, C12-200, C14-4, PPZ-A10, DLin-MC3-DMA. The study addresses the need for effective gene delivery systems to provide a safe and versatile platform that protects and transports nucleic acids into target cells. LNPs were synthesized using microfluidic mixing methods, incorporating lipid components such as the cationic lipids, DSPE, DOPE, cholesterol and PEG lipids to achieve controlled particle sizes, …

Extraction And Separation Of Metal Cations From Synthetic Acidic Solutions Using Emulsion Liquid Membrane, Nouhaila Filali

Masters Theses

The work is organized into two main papers supported by experimental and comparative studies using Emulsion Liquid Membrane (ELM) systems. The first paper explores the individual extraction of heavy metals (Cd, Cr, As, Ni) from synthetic phosphoric acid using Alamine 336 and D2EHPA as carriers. Alamine 336 achieved the highest extraction efficiency (>90%) and stability, offering a promising route to reduce toxic impurities in fertilizer-grade acid. The second paper examines the selective separation of Ni2+ and Co2+ from various acidic solutions using the ELM configuration. Systematic variation of carriers, stripping agent and feed acidity, clarified transport mechanisms and stability, …

Optimization Of Inverted Perovskite Solar Cells: Simulation Insights Into Nio And Mixed-Cation Integration For Enhanced Efficiency, Bo Yao, Hairul Mardiah Hamzah, Sharifah Fatmadiana Bt Wan Muhammad Hatta, Faiz Arith, Mohammad Nur-E-Alam, Mohammad Aminul Islam

Research outputs 2022 to 2026

Inverted perovskite solar cells are one of the most promising technologies for the next generation of photovoltaics, due to excellent stability and a relatively simple fabrication process. Nevertheless, attaining high efficiency remains a challenge in integrating appropriate materials for HTL and an absorber layer. This work focuses on SCAPS-1D simulations to optimize the design of inverted PSCs using NiO as the HTL and a mixed-cation perovskite, MA₀.₄FA₀.₆PbI₃, as an absorber. By employing a controlled variable method, the thickness of the absorber layer was optimized within the range of 300 nm to 900 nm. The optimal performance was achieved when the …

Transport And Plugging Behavior Of Co2-Resistant Preformed Particle Gels In High Conductive Channels For Conformance Control, Adel Alotibi

Doctoral Dissertations

"Improving oil recovery is essential with rising global oil demand and declining production in mature fields. CO₂ flooding has been widely applied as a major Enhanced Oil Recovery (EOR) method due to its effectiveness in boosting oil recovery while enabling safe carbon storage in the subsurface. However, in fractured and highly heterogeneous reservoirs, CO₂ often flows through paths of least resistance, leading to early breakthrough or quick excessive CO₂ production and leaving substantial oil in unswept zones or areas. Traditional in-situ polymer gels have been applied to control CO₂ flooding conformance, their performance has been varied, …