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Articles 271 - 294 of 294
Full-Text Articles in Engineering
Thermoeconomic Analysis And Multi-Objective Optimization Of A Novel Trigeneration System Consisting Of Kalina And Humidificationdehumidification Desalination Cycles, Pooria Behnam, Meysam Faegh, Iman Fakhari, Pouria Ahmadi, Ehsan Faegh, Marc A. Rosen
Thermoeconomic Analysis And Multi-Objective Optimization Of A Novel Trigeneration System Consisting Of Kalina And Humidificationdehumidification Desalination Cycles, Pooria Behnam, Meysam Faegh, Iman Fakhari, Pouria Ahmadi, Ehsan Faegh, Marc A. Rosen
Research outputs 2022 to 2026
Low-temperature geothermal heat sources have the highest share of geothermal energy in the world. Utilization of these heat sources for energy and freshwater generation can play an important role in meeting energy and freshwater demands. To do so, this study aims to propose a novel trigeneration cycle powered by low-temperature geothermal sources. The proposed system, which is an integration of Kalina and humidification-dehumidification (HDH) cycles, is used for the generation of electricity, heating, and freshwater. For the Kalina cycle, an evaporative condenser is used. It also acts as a humidifier and heater of the humidification-dehumidification desalination cycle, resulting in a …
Role Of Primary Freeboard On Staged Combustion Of Hardwood Pellets In A Fixed Bed Combustor, Awais Junejo, Yasir Al-Abdeli, Jacobo Porteiro
Role Of Primary Freeboard On Staged Combustion Of Hardwood Pellets In A Fixed Bed Combustor, Awais Junejo, Yasir Al-Abdeli, Jacobo Porteiro
Research outputs 2022 to 2026
In staged fixed bed biomass combustion, primary air is supplied beneath the fuel bed with secondary air then provided above in the freeboard region. For fixed bed configurations, the freeboard is further divided into a primary freeboard length (LI), which is upstream of the secondary air and a secondary freeboard length (LII), measured from the secondary air all the way to the exhaust port. Despite extensive research into fixed bed configurations, no work has been successfully completed that resolves the effects of changing LI on fuel conversion, both in the fuel bed and within the freeboard of batch-type biomass combustors. …
Clean Process To Utilize The Potassium-Containing Phosphorous Rock With Simultaneous Hcl And Kcl Production Via The Steam-Mediated Reactions, Yunshan Wang, Lufang Shi, Houli Li, Yixiao Wang, Zhiying Wang, Xuebin An, Mingzhu Tang, Gang Yang, Jun He, Jing Hu, Yong Sun
Clean Process To Utilize The Potassium-Containing Phosphorous Rock With Simultaneous Hcl And Kcl Production Via The Steam-Mediated Reactions, Yunshan Wang, Lufang Shi, Houli Li, Yixiao Wang, Zhiying Wang, Xuebin An, Mingzhu Tang, Gang Yang, Jun He, Jing Hu, Yong Sun
Research outputs 2022 to 2026
In this paper, a clean process based on the steam-mediated reactions for simultaneous HCl and KCl production using the potassium (K)-containing phosphorous rock as a precursor is proposed. Through hydrochloric acid (HCl) leaching, not only the generation of H3PO4and CaCl2 (via further precipitation) were realized but also the acid-insoluble residue [phosphorous-rock slag (PS)] rich in elements, that is, K, Al, Si, and so on, in the form of microcline (KAlSi3O8) and quartz (SiO2) was obtained and became readily available for further HCl and KCl generation. Over 95 % of …
Towards A Digital Twin For Characterising Natural Source Zone Depletion: A Feasibility Study Based On The Bemidji Site, Kaveh Sookhak Lari, Greg B. Davis, John L. Rayner
Towards A Digital Twin For Characterising Natural Source Zone Depletion: A Feasibility Study Based On The Bemidji Site, Kaveh Sookhak Lari, Greg B. Davis, John L. Rayner
Research outputs 2022 to 2026
Natural source zone depletion (NSZD) of light non-aqueous phase liquids (LNAPLs) may be a valid long-term management option at petroleum impacted sites. However, its future long-term reliability needs to be established. NSZD includes partitioning, biotic and abiotic degradation of LNAPL components plus multiphase fluid dynamics in the subsurface. Over time, LNAPL components are depleted and those partitioning to various phases change, as do those available for biodegradation. To accommodate these processes and predict trends and NSZD over decades to centuries, for the first time, we incorporated a multi-phase multi-component multi-microbe non-isothermal approach to representatively simulate NSZD at field scale. To …
Reference-Free Differential Histogram-Correlative Detection Of Steganography: Performance Analysis, Natiq M. Abdali, Zahir M. Hussain
Reference-Free Differential Histogram-Correlative Detection Of Steganography: Performance Analysis, Natiq M. Abdali, Zahir M. Hussain
Research outputs 2022 to 2026
Recent research has demonstrated the effectiveness of utilizing neural networks for detect tampering in images. However, because accessing a database is complex, which is needed in the classification process to detect tampering, reference-free steganalysis attracted attention. In recent work, an approach for least significant bit (LSB) steganalysis has been presented based on analyzing the derivatives of the histogram correlation. In this paper, we further examine this strategy for other steganographic methods. Detecting image tampering in the spatial domain, such as image steganography. It is found that the above approach could be applied successfully to other kinds of steganography with different …
Application Of Neuromorphic Olfactory Approach For High-Accuracy Classification Of Malts, Anup Vanarse, Adam Osseiran, Alexander Rassau, Peter Van Der Made
Application Of Neuromorphic Olfactory Approach For High-Accuracy Classification Of Malts, Anup Vanarse, Adam Osseiran, Alexander Rassau, Peter Van Der Made
Research outputs 2022 to 2026
Current developments in artificial olfactory systems, also known as electronic nose (e-nose) systems, have benefited from advanced machine learning techniques that have significantly improved the conditioning and processing of multivariate feature-rich sensor data. These advancements are complemented by the application of bioinspired algorithms and architectures based on findings from neurophysiological studies focusing on the biological olfactory pathway. The application of spiking neural networks (SNNs), and concepts from neuromorphic engineering in general, are one of the key factors that has led to the design and development of efficient bioinspired e-nose systems. However, only a limited number of studies have focused on …
An Optimal Charging Solution For Commercial Electric Vehicles, Bassam Al-Hanahi, Iftekhar Ahmad, Daryoush Habibi, Pravakar Pradhan, Mohammad A.S. Masoum
An Optimal Charging Solution For Commercial Electric Vehicles, Bassam Al-Hanahi, Iftekhar Ahmad, Daryoush Habibi, Pravakar Pradhan, Mohammad A.S. Masoum
Research outputs 2022 to 2026
New government regulations and incentives promote the deployment of commercial electric vehicles to reduce carbon emissions from gasoline-fueled vehicles. For commercial electric vehicles (CEVs) operating in a fleet, charging processes are often performed at the depot where they begin and end their daily driving cycles, as well as at public stations on their routes. With the large penetration of CEVs in depots, simultaneous charging increases peak demand, which in turn impacts the electric network and increases the demand cost of a facility. These depot charging conditions influence the charging schedules of CEVs along their routes and the total service cost …
Physical Layer Authentication Using Ensemble Learning Technique In Wireless Communications, Muhammad Waqas, Shehr Bano, Fatima Hassan, Shanshan Tu, Ghulam Abbas, Ziaul Haq Abbas
Physical Layer Authentication Using Ensemble Learning Technique In Wireless Communications, Muhammad Waqas, Shehr Bano, Fatima Hassan, Shanshan Tu, Ghulam Abbas, Ziaul Haq Abbas
Research outputs 2022 to 2026
Cyber-physical wireless systems have surfaced as an important data communication and networking research area. It is an emerging discipline that allows effective monitoring and efficient real-time communication between the cyber and physical worlds by embedding computer software and integrating communication and networking technologies. Due to their high reliability, sensitivity and connectivity, their security requirements are more comparable to the Internet as they are prone to various security threats such as eavesdropping, spoofing, botnets, man-in-the-middle attack, denial of service (DoS) and distributed denial of service (DDoS) and impersonation. Existing methods use physical layer authentication (PLA), the most promising solution to detect …
Effect Of Methyl Orange On Wettability Of Sandstone Formations: Implications For Enhanced Oil Recovery, Fatemah Alhamad, Mujahid Ali, Muhammad Ali, Hussein Abid, Hussein Hoteit, Stefan Iglauer, Alireza Keshavarz
Effect Of Methyl Orange On Wettability Of Sandstone Formations: Implications For Enhanced Oil Recovery, Fatemah Alhamad, Mujahid Ali, Muhammad Ali, Hussein Abid, Hussein Hoteit, Stefan Iglauer, Alireza Keshavarz
Research outputs 2022 to 2026
With the increasing global population, fossil fuel resources still represent a main contributor to the energy supply, despite the progress made in the field of renewable energies. Large quantities of residual oil from mature reservoirs cannot be produced through primary and secondary recovery methods. Among alternative recovery techniques, chemically enhanced oil recovery methods are attracting considerable interest to increase the hydrocarbon recovery from oil-bearing geological formations. The wettability of any particular formation can be used to predict the oil recovery factor of a reservoir based on its wetting state. However, due to the complex nature of geological porous media, special …
Deep Learning Inspired Feature Engineering For Classifying Tremor Severity, Ahmed Al Taee, Seyedehmarzieh Hosseini, Rami N. Khushaba, Tanveer Zia, Chin-Teng Lin, Adel Al-Jumaily
Deep Learning Inspired Feature Engineering For Classifying Tremor Severity, Ahmed Al Taee, Seyedehmarzieh Hosseini, Rami N. Khushaba, Tanveer Zia, Chin-Teng Lin, Adel Al-Jumaily
Research outputs 2022 to 2026
Bio-signals pattern recognition systems can be impacted by several factors with a potential to limit their associated performance and clinical translation. Among these factors, selecting the optimum feature extraction method, that can effectively exploit the interaction between the temporal and spatial information, is the most prominent. Despite the potential of deep learning (DL) models for extracting temporal, spatial, or temporal-spatial information, they are typically restricted by their need for a large amount of training data. The deep wavelet scattering transform (WST) is a relatively recent advancement within the DL literature to replace expensive convolution neural networks models with computationally less …
Fine-Grained Ship Image Recognition Based On Bcnn With Inception And Am-Softmax, Zhilin Zhang, Ting Zhang, Zhaoying Liu, Peijie Zhang, Shanshan Tu, Yujian Li, Muhammad Waqas
Fine-Grained Ship Image Recognition Based On Bcnn With Inception And Am-Softmax, Zhilin Zhang, Ting Zhang, Zhaoying Liu, Peijie Zhang, Shanshan Tu, Yujian Li, Muhammad Waqas
Research outputs 2022 to 2026
The fine-grained ship image recognition task aims to identify various classes of ships. However, small inter-class, large intra-class differences between ships, and lacking of training samples are the reasons that make the task difficult. Therefore, to enhance the accuracy of the fine-grained ship image recognition, we design a fine-grained ship image recognition network based on bilinear convolutional neural network (BCNN) with Inception and additive margin Softmax (AM-Softmax). This network improves the BCNN in two aspects. Firstly, by introducing Inception branches to the BCNN network, it is helpful to enhance the ability of extracting comprehensive features from ships. Secondly, by adding …
Responses Of Calcareous Sand Foundations To Variations Of Groundwater Table And Applied Loads, Dingfeng Cao, Sanjay Kumar Shukla, Linqing Yang, Chengchao Guo, Jinghong Wu, Fuming Wang
Responses Of Calcareous Sand Foundations To Variations Of Groundwater Table And Applied Loads, Dingfeng Cao, Sanjay Kumar Shukla, Linqing Yang, Chengchao Guo, Jinghong Wu, Fuming Wang
Research outputs 2022 to 2026
The long-term settlement of calcareous sand foundations caused by daily periodic fluctuations has become a significant geological hazard, but effective monitoring tools to capture the deformation profiles are still rarely reported. In this study, a laboratory model test and an in situ monitoring test were conducted. An optical frequency domain reflectometer (OFDR) with high spatial resolution (1 mm) and high accuracy (±10-6) was used to record the soil strain responses to groundwater table and varied loads. The results indicated that the fiber-optic measurements can accurately locate the swelling and compressive zones. During the loading process, the interlock between calcareous sand …
Synergistic Efficiency Of Zinc Oxide/Montmorillonite Nanocomposites And A New Derived Saponin In Liquid/Liquid/Solid Interface-Included Systems: Application In Nanotechnology-Assisted Enhanced Oil Recovery, Ahmad Nourinia, Abbas Khaksar Manshad, Seyed Reza Shadizadeh, Jagar A. Ali, Stefan Iglauer, Alireza Keshavarz, Amir H. Mohammadi, Muhammad Ali
Synergistic Efficiency Of Zinc Oxide/Montmorillonite Nanocomposites And A New Derived Saponin In Liquid/Liquid/Solid Interface-Included Systems: Application In Nanotechnology-Assisted Enhanced Oil Recovery, Ahmad Nourinia, Abbas Khaksar Manshad, Seyed Reza Shadizadeh, Jagar A. Ali, Stefan Iglauer, Alireza Keshavarz, Amir H. Mohammadi, Muhammad Ali
Research outputs 2022 to 2026
Oil production faces challenges such as limited oil production from carbonate reservoirs, high oil production costs, and environmental issues. Chemical flooding as an enhanced oil recovery (EOR) method (CEOR) can increase oil production by the use of chemical additives such as surfactants into the reservoirs. Surfactants can increase oil recovery by interfacial tension (IFT) reduction and alteration of the rock wettability from oil-wet to water-wet. The synthesis of chemicals such as synthetic surfactants is usually costly and harmful to the environment. To solve these problems, many researchers have oriented on the use of natural surfactants instead of synthetic ones within …
Zeta Potential Of A Natural Clayey Sandstone Saturated With Carbonated Nacl Solutions At Supercritical Co2 Conditions, Miftah Hidayat, Mohammad Sarmadivaleh, Jos Derksen, David Vega-Maza, Stefan Iglauer, Jan Vinogradov
Zeta Potential Of A Natural Clayey Sandstone Saturated With Carbonated Nacl Solutions At Supercritical Co2 Conditions, Miftah Hidayat, Mohammad Sarmadivaleh, Jos Derksen, David Vega-Maza, Stefan Iglauer, Jan Vinogradov
Research outputs 2022 to 2026
The zeta potential is a measure of electric potential at the mineral-electrolyte interfaces. The zeta potential of natural sandstones depends on mineralogy, electrolyte pH, concentration, composition, amount of dissolved CO2, and temperature. We report for the first time the zeta potential measured on clayey sandstone comprising quartz, kaolinite, illite, albite and microcline saturated with NaCl solutions at supercritical CO2 conditions. Our results demonstrate that zeta potentials in clayey sandstone samples at supercritical CO2 conditions are significantly different from similar measurements conducted under ambient conditions and from those obtained with clean sandstones. Supercritical CO2 zeta potential remains negative but is influenced …
Effect Of Carbon Fibres On Electromagnetic-Interference-Shielding Properties Of Geopolymer Composites, Dimuthu Wanasinghe, Farhad Aslani, Guowei Ma
Effect Of Carbon Fibres On Electromagnetic-Interference-Shielding Properties Of Geopolymer Composites, Dimuthu Wanasinghe, Farhad Aslani, Guowei Ma
Research outputs 2022 to 2026
Many of the construction materials available are known to cause a drastic level of damage to the environment during their manufacturing stages. Hence, many researchers have attempted to formulate construction materials that are more environmentally friendly. Additionally, the rise in wireless communications in recent decades has seen a rapid increase in electromagnetic pollution and interference, which affects the functionality of sensitive electronic devices. This research is focused on fabricating a more sustainable construction material that could prevent electromagnetic interference for electronic devices housed inside. Carbon fibres of three different lengths were added in four variations to a geopolymer control mix …
High Latency Unmanned Ground Vehicle Teleoperation Enhancement By Presentation Of Estimated Future Through Video Transformation, Md Moniruzzaman, Alexander Rassau, Douglas Chai, Syed Mohammed Shamsul Islam
High Latency Unmanned Ground Vehicle Teleoperation Enhancement By Presentation Of Estimated Future Through Video Transformation, Md Moniruzzaman, Alexander Rassau, Douglas Chai, Syed Mohammed Shamsul Islam
Research outputs 2022 to 2026
Long-distance, high latency teleoperation tasks are difficult, highly stressful for teleoperators, and prone to over-corrections, which can lead to loss of control. At higher latencies, or when teleoperating at higher vehicle speed, the situation becomes progressively worse. To explore potential solutions, this research work investigates two 2D visual feedback-based assistive interfaces (sliding-only and sliding-and-zooming windows) that apply simple but effective video transformations to enhance teleoperation. A teleoperation simulator that can replicate teleoperation scenarios affected by high and adjustable latency has been developed to explore the effectiveness of the proposed assistive interfaces. Three image comparison metrics have been used to fine-tune …
Assessment Of Hole Quality, Thermal Analysis, And Chip Formation During Dry Drilling Process Of Gray Cast Iron Astm A48, Numan Habib, Aamer Sharif, Aqib Hussain, Muhammad Aamir, Khaled Giasin, Danil Yurievich Pimenov
Assessment Of Hole Quality, Thermal Analysis, And Chip Formation During Dry Drilling Process Of Gray Cast Iron Astm A48, Numan Habib, Aamer Sharif, Aqib Hussain, Muhammad Aamir, Khaled Giasin, Danil Yurievich Pimenov
Research outputs 2022 to 2026
The cutting parameters in drilling operations are important for high-quality holes and productivity improvement in any manufacturing industry. This study investigates the effects of spindle speed and feed rate on temperature, surface roughness, hole size, circularity, and chip formation during dry drilling of gray cast iron ASTM A48. The results showed that the temperature increased as spindle speed and feed rate increased. The surface roughness had an inverse relationship with the spindle speed and direct relation with the feed rate. Furthermore, hole size increased with increased spindle speed and decreased as the feed rate increased, while hole circularity decreased with …
Selective Harmonic Mitigation Based Two-Scale Frequency Control Of Cascaded Modified Packed U-Cell Inverters, Hasan Iqbal, Mohd Tariq, Mohammad Sarfraz, Arif I. Sarwat, Waleed Alhosaini, Obaid Aldosari, Asma Aziz
Selective Harmonic Mitigation Based Two-Scale Frequency Control Of Cascaded Modified Packed U-Cell Inverters, Hasan Iqbal, Mohd Tariq, Mohammad Sarfraz, Arif I. Sarwat, Waleed Alhosaini, Obaid Aldosari, Asma Aziz
Research outputs 2022 to 2026
A new Modified Packed U-Cell (MPUC) converter architecture with cascading is proposed in this paper. To provide an output voltage of 25 levels, the proposed cascaded MPUC needs only twelve power switches and four power sources. The converter comprises two cascaded MPUCs with DC supply in a ratio of 5 : 1. One converter is operating at low frequency (LF) and the other at high frequency (HF) that leads to lower power losses and higher levels. Besides, a variable frequency method is anticipated to produce a 25-level output voltage which has low harmonic content (THD) with the help of Selective …
Artificial Intelligence-Based Material Discovery For Clean Energy Future, Reza Maleki, Mohsen Asadnia, Amir Razmjou
Artificial Intelligence-Based Material Discovery For Clean Energy Future, Reza Maleki, Mohsen Asadnia, Amir Razmjou
Research outputs 2022 to 2026
Artificial intelligence (AI)-assisted materials design and discovery methods can come to the aid of global concerns for introducing new efficient materials in different applications. Also, a sustainable clean future requires a transition to a low-carbon economy that is material-intensive. AI-assisted methods advent as inexpensive and accelerated methods in the design of new materials for clean energies. Herein, the emerging research area of AI-assisted material discovery with a focus on developing clean energies is discussed. The applications, advantages, and challenges of using AI in material discovery are discussed and the future perspective of using AI in clean energy is studied. This …
Evaluation Of The Mechanical Properties And Drilling Of Glass Bead/Fiber-Reinforced Polyamide 66 (Pa66)-Based Hybrid Polymer Composites, Recep Demirsöz, Nafiz Yasar, Mehmet Erdi Korkmaz, Mustafa Günay, Khaled Giasin, Danil Yorievich Pimenov, Muhammad Aamir, Huseyin Unal
Evaluation Of The Mechanical Properties And Drilling Of Glass Bead/Fiber-Reinforced Polyamide 66 (Pa66)-Based Hybrid Polymer Composites, Recep Demirsöz, Nafiz Yasar, Mehmet Erdi Korkmaz, Mustafa Günay, Khaled Giasin, Danil Yorievich Pimenov, Muhammad Aamir, Huseyin Unal
Research outputs 2022 to 2026
In this study, mechanical testing of glass bead (GB), glass fiber (GF), and hybrid (GB/GF) composites was carried out. Following that, drilling tests were undertaken on glass bead/fiber-reinforced hybrid Polyamide 66 (PA66) polymer composites. The purpose of this study is to determine the mechanical properties of the cutting elements and the effect of cutting parameters (spindle speed and feed rate) and reinforcement ratios on thrust force and surface roughness (Ra). The contribution of the cutting parameters to the investigated outcomes was determined using statistical analysis. Optical microscopy and scanning electron microscopy (SEM) was used to inspect the hole quality and …
Optimal Sizing And Energy Scheduling Of Grid-Supplemented Solar Pv Systems With Battery Storage: Sensitivity Of Reliability And Financial Constraints, Aakash Hassan, Yasir M. Al-Abdeli, Martin Masek, Octavian Bass
Optimal Sizing And Energy Scheduling Of Grid-Supplemented Solar Pv Systems With Battery Storage: Sensitivity Of Reliability And Financial Constraints, Aakash Hassan, Yasir M. Al-Abdeli, Martin Masek, Octavian Bass
Research outputs 2022 to 2026
Establishing reliable, clean, and inexpensive solar PV systems is a complex interplay between the level of reliability (LPSP), financial constraints, and CO2 emissions. This paper investigates the impact of these factors on stand-alone (SA) and grid-supplemented (GS) solar PV systems over multiple seasons. The research uses established hardware models, detailed power management strategies as well as realistic Australian grid tariffs and Genetic Algorithms to find the minimum Cost of Energy (COE) subject to LPSP and financial constraints. The developed power management strategies are also tested experimentally on a real solar PV system. The results indicate that the grid-supplemented system yields …
Optimum Geological Storage Depths For Structural H2 Geo-Storage, Stefan Iglauer
Optimum Geological Storage Depths For Structural H2 Geo-Storage, Stefan Iglauer
Research outputs 2022 to 2026
H2 geo-storage has been suggested as a key technology with which large quantities of H2 can be stored and withdrawn again rapidly. One option which is currently explored is H2 storage in sedimentary geologic formations which are geographically widespread and potentially provide large storage space. The mechanism which keeps the buoyant H2 in the subsurface is structural trapping where a caprock prevents the H2 from rising by capillary forces. It is therefore important to assess how much H2 can be stored via structural trapping under given geo-thermal conditions. This structural trapping capacity is thus …
A New Comprehensive Dimensionless Inflow Performance Relationship For Gas Wells, Azim Kalantariasl, Isa Farhadi, Soosan Farzani, Alireza Keshavarz
A New Comprehensive Dimensionless Inflow Performance Relationship For Gas Wells, Azim Kalantariasl, Isa Farhadi, Soosan Farzani, Alireza Keshavarz
Research outputs 2022 to 2026
Prediction of gas well deliverability is important for reservoir management. Conventional flow after flow, isochronal or modified isochronal tests are common methods for calculation of well deliverability. Single-point test using Vogel-type dimensionless inflow performance relationships (IPR) was also proposed to overcome the need for multi-point tests. However, analysis of field data showed that existing dimensionless IPR correlations fail to accurately predict well deliverability for some reservoir conditions. In this study, a wide range of reservoir rock and fluid data was used to develop a comprehensive dimensionless IPR correlation for calculation of gas well deliverability from single-point test data. Multi-point well …
Application Of Benchtop Humidity And Temperature Chamber In The Measurement Of Water Vapor Sorption In Us Shales From Mancos, Marcellus, Eagle Ford And Wolfcamp Formations, Hesham Abdulelah, Berihun Mamo Negash, Atta Dennis Yaw, Tareq M. Al-Shami, Ahmed Al-Yaseri, Eswaran Padmanabhan
Application Of Benchtop Humidity And Temperature Chamber In The Measurement Of Water Vapor Sorption In Us Shales From Mancos, Marcellus, Eagle Ford And Wolfcamp Formations, Hesham Abdulelah, Berihun Mamo Negash, Atta Dennis Yaw, Tareq M. Al-Shami, Ahmed Al-Yaseri, Eswaran Padmanabhan
Research outputs 2022 to 2026
A benchtop humidity and temperature chamber was used to assess water vapor sorption in four US shale samples at 90 °C. Water sorption isotherms were measured at relative humidity ranging from 10 to 99% and temperature of 90 °C. Shale fractal properties were then evaluated, and capillary pressure (ranging from 1.70 to 386 MPa) was obtained using Kelvin relationship. The results show that Mancos shale, from the US, adsorbed more absorbed water due to its high clay concentration and low TOC. However, Wolfcamp shale, from the US, has the lowest TOC and clay concentration, adsorbing the lowest amount of water. …