Review
Chemistry, Multidisciplinary
Rasha Hosny, Ahmed Zahran, Ahmed Abotaleb, Mahmoud Ramzi, Mahmoud F. Mubarak, Mohamed A. Zayed, Abeer El Shahawy, Modather F. Hussein
Summary: Oil and gas industries could potentially benefit from nanotechnology, particularly in the field of chemical-enhanced oil recovery. Nanotechnology can be used to create more efficient and eco-friendly compounds for oil recovery, as well as improve the effectiveness of existing compounds. However, there are challenges that need to be overcome, such as the need for mass-producible and cost-effective nanomaterials, as well as evaluating the environmental impact. Despite these difficulties, nanotechnology-based oil recovery has substantial advantages and can make oil production more effective, profitable, and environmentally friendly.
Review
Chemistry, Multidisciplinary
Sarah V. Dummert, Haneesh Saini, Mian Zahid Hussain, Khushboo Yadava, Kolleboyina Jayaramulu, Angela Casini, Roland A. Fischer
Summary: While there is extensive research on the use of metal organic frameworks (MOFs) in various applications, the development of biocompatible MOFs, particularly those using cyclodextrins (CDs) as linkers, presents significant challenges. Despite the challenges in design and fabrication, incorporating CDs into MOFs offers exciting opportunities with their versatile host-guest complexation abilities, high encapsulation capacity, and hydrophilicity. CD-based MOFs have potential applications in drug delivery, cancer therapy, sensors, gas storage, separations, electrical devices, food industry, and agriculture, showcasing promising future developments in this field.
CHEMICAL SOCIETY REVIEWS
(2022)
Article
Engineering, Environmental
Aparajita Datta, Ramanan Krishnamoorti
Summary: Direct air capture (DAC) is a decarbonization solution that removes CO2 from the atmosphere. The challenges for deploying DAC are high energy requirements, capital costs, and finding low-risk and low-cost sequestration or utilization pathways. Proximal deployment to sequestration or use sites with abundant renewable electricity supply can minimize costs, and increased 45Q tax credits can incentivize DAC deployment.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Energy & Fuels
Shuoshi Wang, Onyekachi Ogbonnaya, Changlong Chen, Na Yuan, Benjamin Shiau, Jeffrey H. Harwell
Summary: This study focuses on the development of a low-temperature in situ CO2 enhanced oil recovery (ICE) system using urease-catalyzed urea hydrolysis. The experimental results demonstrate the high tertiary recovery potential of this system under low-temperature conditions.
Review
Engineering, Chemical
Kazi Albab Hussain, Cheng Chen, Ryan Haggerty, Mathias Schubert, Yusong Li
Summary: This article reviews the role and mechanisms of nanoparticles in enhancing oil recovery, and discusses the factors that control the success of nanoparticle applications. It also outlines the challenges and future research directions in the field of nanoparticle-enhanced oil recovery.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2022)
Review
Energy & Fuels
Shadfar Davoodi, Mohammed Al-Shargabi, David A. Wood, Valeriy S. Rukavishnikov, Konstantin M. Minaev
Summary: This study reviews the application of nanotechnology in EOR and discusses its impact on reservoir wettability and interfacial tension. Nanotechnology can improve oil recovery, increase production rates, and enhance resource recovery.
Review
Acoustics
Idowu Adeyemi, Mahmoud Meribout, Lyes Khezzar
Summary: Research and innovation in oil production technologies, such as ultrasound and high-volume hydraulic fracturing, have led to improved effectiveness and efficiency. The utilization of these technologies, particularly in enhanced oil recovery and demulsification, has shown promising results. Further evaluations and field studies are needed to fully understand and optimize these technologies.
ULTRASONICS SONOCHEMISTRY
(2022)
Article
Geochemistry & Geophysics
Xiang Li, Yuan Cheng, Wulong Tao, Shalake Sarulicaoketi, Xuhui Ji, Changhe Yin
Summary: This paper studies the feasibility and optimization parameters of nitrogen injection development of fractured reservoirs through experiments, showing that nitrogen injection can increase early production but gas channeling needs to be avoided. Gas-water alternate flooding can reduce injection pressure and improve recovery.
Review
Agricultural Engineering
Soo Youn Lee, You-Kwan Oh, Sangmin Lee, Hana Nur Fitriana, Myounghoon Moon, Min-Sik Kim, Jiye Lee, Kyoungseon Min, Gwon Woo Park, Joon-Pyo Lee, Jin-Suk Lee
Summary: This study focuses on microbial CO2 electrobiorefinery based on microbial electrosynthesis, which combines electrochemical and microbial conversion to produce biofuels and higher-value chemicals. Recent developments in bioelectrochemical conversion of CO2 into biofuels and chemicals in MES via microbial CO2-fixation and electricity utilisation reactions are discussed, along with technical approaches to overcome current limitations of MES.
BIORESOURCE TECHNOLOGY
(2021)
Review
Energy & Fuels
Jain Mariyate, Achinta Bera
Summary: The global demand for energy is increasing, with a growing interest in renewable products. The use of chemical enhanced oil recovery (EOR) strategies, specifically with microemulsions, has shown to be an effective method in improving oil recovery. The article also discusses the synergistic effects of surfactants and nanoparticles in microemulsions, formulation optimization, and applications in EOR.
Article
Energy & Fuels
Hanin Samara, Philip Jaeger
Summary: Shale is considered a potential hydrocarbon resource, while the utilization of CO2 in enhanced oil recovery is gaining global attention. This study investigated the effects of CO2 injection on wettability alteration and volumetric expansion in a system comprising organic-rich shale, water, and model oil. The results show that CO2 pressure has a direct impact on surface water wetting and volumetric expansion, with divalent ions promoting reduced water wetness at elevated pressures.
Review
Energy & Fuels
Yongsheng Tan, Qi Li, Liang Xu, Abdul Ghaffar, Xiang Zhou, Pengchun Li
Summary: This study provides a detailed review of CO2 enhanced oil recovery (EOR) in carbonate reservoirs and discusses the characteristics of carbonate reservoirs, various CO2 injection schemes, and the mechanisms of CO2-oil and CO2-fluid-rock interactions. The findings of this study contribute to a better understanding of the CO2 EOR mechanism in carbonate reservoirs and suggest future research directions.
Review
Chemistry, Multidisciplinary
Paola Franco, Iolanda De Marco
Summary: The use of supercritical micronization/nanonization techniques can improve the efficacy of active compounds in pharmaceuticals, offering numerous advantages over traditional methods.
APPLIED SCIENCES-BASEL
(2021)
Review
Pharmacology & Pharmacy
Maydelid Trujillo-Nolasco, Enrique Morales-Avila, Pedro Cruz-Nova, Kattesh V. Katti, Blanca Ocampo-Garcia
Summary: The application of nanotechnology in nuclear medicine offers promising therapeutic opportunities, particularly in the treatment of diseases like cancer through targeted alpha-particle therapy. New approaches for radiolabeling are needed due to the impact of recoil energy from alpha decay on chemical bonds. This review covers various aspects of physics, radiobiology, and alpha emitters production, as well as presents strategies for managing recoil energy and recent studies on alpha-particle therapy using different nanosystems.
Review
Chemistry, Physical
Mahdi Shayan Nasr, Ehsan Esmaeilnezhad, Hyoung Jin Choi
Summary: Nanotechnology is considered to have promising prospects in various sectors of the oil industries due to its eco-friendliness and affordability, especially in enhanced oil recovery. Carbon-based and metal-based nanomaterials play a significant role in five nano-EOR mechanisms, affecting parameters influencing each classification are analyzed.
JOURNAL OF MOLECULAR LIQUIDS
(2021)
Article
Energy & Fuels
David A. Wood
Summary: A novel feature-averaging technique is proposed to assist wind power generation forecasts by capturing recent changes in conditions. The Adaboost model achieves the highest accuracy for semi-supervised forecasting, while the convolutional neural network performs best in supervised learning.
ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS
(2023)
Article
Energy & Fuels
Meysam Rajabi, Omid Hazbeh, Shadfar Davoodi, David A. Wood, Pezhman Soltani Tehrani, Hamzeh Ghorbani, Mohammad Mehrad, Nima Mohamadian, Valeriy S. Rukavishnikov, Ahmed E. Radwan
Summary: This study predicts shear wave velocity (V-s) in sedimentary rock sequences using machine learning algorithms and verifies their performance. Results show that deep learning algorithms outperform hybrid machine learning algorithms and traditional empirical methods. The findings of this study are important for understanding production patterns, sustainability of oil reservoirs, and geomechanical problems.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY
(2023)
Article
Geosciences, Multidisciplinary
Guozhong Gao, Omid Hazbeh, Shadfar Davoodi, Somayeh Tabasi, Meysam Rajabi, Hamzeh Ghorbani, Ahmed E. Radwan, Mako Csaba, Amir H. Mosavi
Summary: One challenge in the oil and gas industry is determining the fracture density of reservoir rock. This study aims to predict this parameter using petrophysics logs and four computational algorithms and artificial intelligence hybrids. The LSSVM-PSO algorithm is found to be the most accurate for FVDC prediction.
FRONTIERS IN EARTH SCIENCE
(2023)
Article
Energy & Fuels
Amirhossein Sheykhinasab, Amir Ali Mohseni, Arash Barahooie Bahari, Ehsan Naruei, Shadfar Davoodi, Aliakbar Aghaz, Mohammad Mehrad
Summary: Permeability is crucial in the petrophysical study of a reservoir and its prediction in carbonate reservoirs, with heterogeneously distributed vugs and fractures, is complex. This research used data from two wells to estimate permeability via composite formulations of LSSVM, MELM, COA, PSO, GA, CNN, and LSSVM. The most effective parameters for permeability estimation were identified as P-wave travel time, bulk density, neutron porosity, and formation resistivity. The best-performing model was determined to be MELM-COA, providing reliable permeability predictions in training and testing stages, as well as generalizability assessment.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY
(2023)
Article
Energy & Fuels
Watheq J. Al-Mudhafar, Dandina N. Rao, Sanjay Srinivasan, David A. Wood
Summary: Identifying the specific reservoir properties that influence oil production is crucial for field development planning. The conventional method of multiple linear regression (MLR) step-wise elimination is compared with Bayesian averaging (BA) to determine the most influential variables. The study evaluates a simulated CO2-assisted gravity drainage (CO2-AGD) system in a multi-layered, heterogeneous oil reservoir. The results show that permeability (K) is the most influential variable across all reservoir layers, while permeability anisotropy (Kv/Kh) has moderate influence only in production layers and underlying water zone, and porosity (phi) has no influence on oil recovery.
Review
Energy & Fuels
Shadfar Davoodi, Mohammed Al-Shargabi, David A. Wood, Valeriy S. Rukavishnikov
Summary: Hydraulic fracturing is crucial for gas and oil production, and the performance of fracturing fluids plays a significant role. Conventional fluids can cause residue deposition and are unsuitable for tight reservoirs, while viscoelastic surfactant (VES) fluids offer advantages such as easy preparation, self-breaking, and reduced harm to the formation. VES fluids utilize cross-linked surfactants to transport proppants and improve conductivity, while avoiding residue deposition and secondary damage to the reservoir.
Article
Energy & Fuels
Mohammad Mohammadi Behboud, Ahmad Ramezanzadeh, Behzad Tokhmechi, Mohammad Mehrad, Shadfar Davoodi
Summary: The study developed adaptive network-based fuzzy inference system (ANFIS) models using data from wells drilled in the Marun oilfield of southwestern Iran. The models accurately predicted the Young's modulus, uniaxial compressive strength, and cohesion coefficient, but had lower accuracy in predicting the internal friction angle and Poisson's ratio. The proposed method can provide valuable drilling strategy information in the absence of petrophysical logs.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY
(2023)
Article
Engineering, Multidisciplinary
David A. Wood
Summary: The geomechanical brittleness of tight formations in shale exploitation can be estimated from a basic suite of available well logs using a machine learning approach. The results show that models involving just two or three recorded well logs plus selected attributes can accurately predict the brittleness index. The technique is worth testing in other shale basins.
RESULTS IN ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Shadfar Davoodi, Hung Vo Thanh, David A. Wood, Mohammad Mehrad, Valeriy S. Rukavishnikov, Zhenxue Dai
Summary: Ongoing anthropogenic carbon dioxide emissions cause severe air pollution and complex changes in the climate. Geological CO2 storage offers a promising solution by removing some of the CO2 emissions. This study models the solubility and trapping efficiency of CO2 in saline aquifers using machine learning and deep learning algorithms, and finds that the LSSVM model delivers the most accurate predictions.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Engineering, Geological
Shadfar Davoodi, Mohammad Mehrad, David A. Wood, Valeriy S. Rukavishnikov, Mahdi Bajolvand
Summary: In this study, ML models using LSSVM and MELM algorithms hybridized with COA, PSO, and GA optimizers were developed to predict UCS. The MELM-COA algorithm achieved the lowest error and highest coefficient of determination values when applied to the Well A training and validation data subsets. The generalizability of the Well-A-trained MELM-COA model was confirmed through its low prediction errors on the independent Well B testing dataset.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2023)
Article
Geosciences, Multidisciplinary
Faycal Djebbas, Ouafi Ameur-Zaimeche, Rabah Kechiched, Salim Heddam, David A. Wood, Zohreh Movahed
Summary: This paper proposes a new method to estimate reservoir permeability by applying two distinct cases: partially cored and completely non-cored wellbores. The approach involves the determination of hydraulic-flow units (HFU) using a flow-zone indicator (FZI) distribution to consider the dynamic aspect of the permeability. An adaptive-neuro-fuzzy-inference system (ANFIS) is developed to accurately predict the FZI and estimate reservoir permeability. The method is validated in static and dynamic reservoir models, improving the reservoir modelling workflow.
JOURNAL OF AFRICAN EARTH SCIENCES
(2023)
Review
Energy & Fuels
Mohammed Al-Shargabi, Shadfar Davoodi, David A. Wood, Mohsen Ali, Valeriy S. Rukavishnikov, Konstantin M. Minaev
Summary: Carbonate reservoirs often require cleanup and stimulation to improve resource recovery rates. Acidizing is a common technique, but its efficiency depends on various factors. There is a need to enhance acid treatment technologies, including the use of nanoparticles, to make them more reliable and effective. This review discusses laboratory-scale and field-scale acid treatment techniques for carbonate reservoirs and compares the positive and negative influences of different acid treatments on oil production rates and recovery. Environmental impacts and future research directions are also considered.
Article
Engineering, Environmental
David A. Wood
Summary: The extraction of multiple attributes from past trends of NOx can substantially improve the accuracy of hourly forecasts for at least four hours ahead without the need for external inputs.
ENVIRONMENTAL SCIENCE-ADVANCES
(2023)
