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Key aspects of underground hydrogen storage in depleted hydrocarbon reservoirs and saline aquifers:A review and understanding

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Energy Geoscience 2024年第4期5卷 55-74页

作者： Rawaa A.Sadkhan Watheq j.al-Mudhafar Basra University of Oil and Gas BasrahIraq Basrah Oil Company BasrahIraq

Underground hydrogen storage is critical for renewable energy integration and *** aquifers and depleted oil and gas reservoirs represent viable large-scale hydrogen storage solutions due to their capacity and *** paper provides a comparative analysis of the current status of hydrogen storage in various ***,it assesses the geological compatibility,capacity,and security of these storage environments with minimal leakage and *** in-depth analysis was also conducted on the economic and environmental issues that impact the hydrogen *** addition,the capacity of these structures was also clarified,and it is similar to storing carbon dioxide,except for the cushion gas that is injected with hydrogen to provide pressure when withdrawing from the store to increase *** research also discusses the pros and cons of hydrogen storage in saline aquifers and depleted oil and gas *** include numerous storage sites,compatibility with existing infrastructure,and the possibility to repurpose declining oil and gas ***,it was identified that depleted gas reservoirs are better for hydrogen gas storage than depleted oil reservoirs because hydrogen gas may interact with the *** saline aquifers rank third because of uncertainty,limited capacity,construction and injection *** properties that affect the hydrogen injection process were also discussed in terms of solid,fluid,and solid-fluid *** all structures,successful implementation requires characterizing sites,monitoring and managing risks,and designing efficient storage *** findings expand hydrogen storage technology and enable a renewable energy-based energy system.

关键词： Underground hydrogen storage Renewable energy Depleted reservoirs Saline aquifers Fundamental review

Predicting Energy Consumption Using Stacked lSTM Snapshot Ensemble

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Big Data Mining and Analytics 2024年第2期7卷 247-270页

作者： Mona Ahamd alghamdi Abdullah S.A.l-Malaise al-Ghamdi Mahmoud Ragab Information Systems Department Faculty of Computing and Information Technology(FCIT)King Abdulaziz University(KAU)Jeddah 21589Kingdom of Saudi Arabia Information Systems Department FCITKAUJeddah 21589Kingdom of Saudi Arabiaand also with School of EngineeringComputing and DesignDar Al-Hekma UniversityJeddah 22246Kingdom of Saudi Arabia Information Technology Department FCITKAUJeddah 21589Kingdom of Saudi Arabiaand also with Mathematics DepartmentFaculty of ScienceAl-Azhar UniversityNaser City 11884Egypt

The ability to make accurate energy predictions while considering all related energy factors allows production plants,regulatory bodies,and governments to meet energy demand and assess the effects of energy-saving *** energy consumption falls within normal parameters,it will be possible to use the developed model to predict energy consumption and develop improvements and mitigating measures for energy *** objective of this model is to accurately predict energy consumption without data limitations and provide results that are easily *** proposed model is an implementation of the stacked long Short-Term Memory(lSTM)snapshot ensemble combined with the Fast Fourier Transform(FFT)and *** and Berard’s Individual Household Electric-Power Consumption(IHEPC)dataset incorporated with weather data are used to analyse the model’s accuracy with predicting energy *** model is trained,and the results measured using Root Mean Square Error(RMSE),Mean Absolute Error(MAE),Mean Absolute Percentage Error(MAPE),and coefficient of determination(R^(2))metrics are 0.020,0.013,0.017,and 0.999,*** stacked lSTM snapshot ensemble performs better than the compared models based on prediction accuracy and minimized *** results of this study show that prediction accuracy is high,and the model’s stability is high as *** model shows that high levels of accuracy prove accurate predictive ability,and together with high levels of stability,the model has good interpretability,which is not typically accounted for in ***,this study shows that it can be inferred.

关键词： energy consumption prediction Artificial Intelligence(AI) Deep learning(Dl) snapshot ensemble

Patients’dissatisfaction with multifocal intraocular lenses managed by exchange with other multifocal lenses of diferent optical profles

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Eye and Vision 2024年第1期10卷 31-40页

作者： Olena al‑Shymali Colm Mcalinden jorge l.alio del Barrio Mario Canto‑Cerdan jorge l.alio Research&Development Department VISSUM Innovation and Department of Cornea Cataract and Refractive SurgeryVISSUM CorporationAlicanteSpain Department of Ophthalmology Singleton HospitalSwansea Bay University Health BoardSwanseaUK Division of Ophthalmology School of MedicineVISSUM AlicanteUniversidad Miguel HernándezCalle Cabañal 103016 AlicanteSpain Cornea Cataract and Refractive Surgery DepartmentVISSUM CorporationAlicanteSpain

Background:The aim of the study was to evaluate the outcomes of dissatisfed patients reporting poor visual quality following implantation of multifocal intraocular lenses(MF-IOls),managed by IOl exchange with another multifocal optical ***:This is a retrospective series of ***-IOl exchange was done in 15 dissatisfed patients(30 eyes)with the perception of poor visual quality for far distance afected by neuroadaptation *** underwent a bilateral exchange of a MF-IOl with another MF-IOl of a diferent optical *** outcomes and complications were *** including Quality of Vision(QoV),Visual Function Index-14(VF-14)and its Rasch-revised version(VF-8R)and a satisfaction questionnaire were also used for outcome ***:The mean elapsed time from implantation to explantation-reimplantation was 11.8 *** QoV scores improved signifcantly across all the three *** function improved with a change in VF-14 score from 60.41±24.81 to 90.16±10.91(Pal acuity improved from 0.24 to 0.12 logMAR after exchange(Pal acuity improved from 0.15 to 0.04 logMAR(Pllowing MF-IOl exchange,80%of the patients reported they would have the MF-IOl reimplantation procedure ***:Patient dissatisfaction with neuroadaptation failure following MF-IOl implantation can be managed in 80%of our cases by MF-IOl exchange with a diferent MF-IOl optical profle.

关键词： Multifocal intraocular lenses IOl exchange Visual acuity Neuroadaptation failure

Single image super-resolution:a comprehensive review and recent insight

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Frontiers of Computer Science 2024年第1期18卷 139-156页

作者： Hanadi al-MEKHlAFI Shiguang lIU College of Intelligence and Computing Tianjin UniversityTianjin 300350China

Super-resolution(SR)is a long-standing problem in image processing and computer vision and has attracted great attention from researchers over the *** main concept of SR is to reconstruct images from low-resolution(lR)to high-resolution(HR).It is an ongoing process in image technology,through up-sampling,de-blurring,and *** neural network(CNN)has been widely used to enhance the resolution of images in recent *** alternative methods use deep learning to improve the progress of image super-resolution based on ***,we review the recent findings of single image super-resolution using deep learning with an emphasis on distillation knowledge used to enhance image super-resolution.,it is also to highlight the potential applications of image super-resolution in security monitoring,medical diagnosis,microscopy image processing,satellite remote sensing,communication transmission,the digital multimedia industry and video ***,we present the challenges and assess future trends in super-resolution based on deep learning.

关键词： super-resolution deep learning single-image interpolation-based learning-based reconstruction-based

RoGRUT: A Hybrid Deep learning Model for Detecting Power Trapping in Smart Grids

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Computers, Materials & Continua 2024年第5期79卷 3175-3192页

作者： Farah Mohammad Saad al-Ahmadi jalal al-Muhtadi Center of Excellence in Information Assurance(CoEIA) King Saud UniversityRiyadh11543Saudi Arabia College of Computer&Information Sciences King Saud UniversityRiyadh11543Saudi Arabia

Electricity theft is a widespread non-technical issue that has a negative impact on both power grids and electricity *** hinders the economic growth of utility companies,poses electrical risks,and impacts the high energy costs borne by *** development of smart grids is crucial for the identification of power theft since these systems create enormous amounts of data,including information on client consumption,which may be used to identify electricity theft using machine learning and deep learning ***,there also exist different solutions such as hardware-based solutions to detect electricity theft that may require human resources and expensive ***-based solutions are presented in the literature to identify electricity theft but due to the dimensionality curse,class imbalance issue and improper hyper-parameter tuning of such models lead to poor *** this research,a hybrid deep learning model abbreviated as RoGRUT is proposed to detect electricity theft as amalicious and non-malicious *** key steps of the RoGRUT are data preprocessing that covers the problem of class imbalance,feature extraction and final theft *** advanced-level models like RoBERTa is used to address the curse of dimensionality issue,the near miss for class imbalance,and transfer learning for *** effectiveness of the RoGRUTis evaluated using the dataset fromactual smartmeters.A significant number of simulations demonstrate that,when compared to its competitors,the RoGRUT achieves the best classification *** performance evaluation of the proposed model revealed exemplary results across *** accuracy achieved was 88%,with precision at an impressive 86%and recall reaching 84%.The F1-Score,a measure of overall performance,stood at 85%.Furthermore,themodel exhibited a noteworthyMatthew correlation coefficient of 78%and excelled with an area under the curve of 91%.

关键词： Electricity theft smart grid RoBERTa GRU transfer learning

Developing a Model for Parkinson’s Disease Detection Using Machine learning algorithms

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Computers, Materials & Continua 2024年第6期79卷 4945-4962页

作者： Naif al Mudawi Department of Computer Science College of Computer Science and Information SystemNajran UniversityNajran55461Saudi Arabia

Parkinson’s disease(PD)is a chronic neurological condition that progresses over *** start to have trouble speaking,writing,walking,or performing other basic skills as dopamine-generating neurons in some brain regions are injured or *** patient’s symptoms become more severe due to the worsening of their signs over *** this study,we applied state-of-the-art machine learning algorithms to diagnose Parkinson’s disease and identify related risk *** research worked on the publicly available dataset on PD,and the dataset consists of a set of significant characteristics of *** aim to apply soft computing techniques and provide an effective solution for medical professionals to diagnose PD *** research methodology involves developing a model using a machine learning *** the model selection,eight different machine learning techniques were adopted:Namely,Random Forest(RF),Decision Tree(DT),Support Vector Machine(SVM),Naïve Bayes(NB),light Gradient Boosting Machine(lightGBM),K-Nearest Neighbours(KNN),Extreme Gradient Boosting(XGBoost),and logistic Regression(lR).Subsequently,the concentrated models were validated through 10-fold Cross-Validation and Receiver Operating Characteristic(ROC)—Area Under the Curve(AUC).In addition,GridSearchCV was utilised to measure each algorithm’s best parameter;eventually,the models were trained through the hyperparameter tuning *** 98%accuracy,lightGBM had the highest accuracy in this ***,KNN,and SVM came in second with 96%***,the performance scores of NB and lR were recorded to be 76%and 83%,*** is to be mentioned that after applying 10-fold cross-validation,the average performance score of lightGBM accounted for 93%.At the same time,the percentage of ROC-AUC appeared at 0.92,which indicates that this lightGBM model reached a satisfactory ***,we extracted meaningful insights and figured out potential gaps on top of *** extracting meaningful in

关键词： light GBM cross-validation ROC-AUC Parkinson’s disease(PD) SVM and XGBoost

The optimal semi-analytical modeling for the infinite-conductivity horizontal well performance under rectangular bounded reservoir based on a new instantaneous source function

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Petroleum 2024年第1期10卷 68-84页

作者： Firas A.A.al-Kabbawi Independent scholar LivingstonScotlandUNITED KINGDOM

The main objective of this study is to develop the optimal semi-analytical modeling for the infiniteconductivity horizontal well performance under rectangular bounded reservoir based on a new instantaneous source *** available semi-analytical infinite-conductivity models(ICMs)for horizontal well under rectangular bounded reservoir in literature were developed by applying superposition of pressures in space(SPS).A new instantaneous source function(i.e.,instantaneous uniform-flux segmentary source function under bounded reservoir)is derived to be used instead of SPS to develop the optimal semi-analytical *** new semi-analytical ICM is verified with ICM of Schlumberger[1]and with previous semi-analytical ICMs in terms of bottom hole pressure(BHP)profile and inflow rate distribution along the *** model is also validated with real horizontal wells in terms of inflow rate distribution along the *** results show that the developed model gives the optimal semi-analytical modeling for the infinite-conductivity horizontal well performance under rectangular bounded *** that,high computationalefficiency and high-resolution of wellbore discretization have been achieved(i.e.,wellbore segment number could be tens of hundreds depending on solution requirement).The results also show that at pseudosteady state(PSS)flow regime,inflow rate distribution along the wellbore by previous semi-analytical ICMs is stabilized U-shaped as performance of inflow rate distribution at late radial flow ***,the previous semi-analytical ICMs are incorrectly modeling inflow rate distribution at PSS flow regime due to the negative influence of applying *** optimal semi-analytical ICM is in a general form and real time domain,and can be applicable for 3D horizontal well and 2D vertical fracture well under infinite and rectangular bounded reservoirs,of uniform-flux and infinite-conductivity wellbore conditions at any time of well life.

关键词： Infinite-conductivity model Horizontal well performance Semi-analytical modeling Rectangular bounded reservoir Instantaneous source functions Flow regimes

Degradation pathways of amino acids during thermal utilization of biomass: a review

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Frontiers of Chemical Science and Engineering 2024年第7期18卷 67-95页

作者： Mubarak al-Kwradi Mohammednoor altarawneh Department of Chemical and Petroleum Engineering United Arab Emirates UniversityAl-Ain 15551United Arab Emirates

Amino acids are important nitrogen carriers in biomass and entail a broad spectrum of industrial uses,most notably as food additives,pharmaceutical ingredients,and raw materials for bio-based *** detailed information in regard to the fragmentation of amino acids is essential to comprehend the nitrogen transformation chemistry at conditions encountered during hydrothermal and pyrolytic degradation of *** underlying aim of this review is to survey literature studies pertinent to the complex structures of amino acids,their formation yields from various categories of biomass,and their fragmentation routes at elevated temperatures and in the aqueous *** predominant degradation reactions ensue in the decomposition of amino acids,namely deamination and ***,minor differences in structure can greatly affect the fate for each amino ***,amino acids,being nitrogen-rich compounds,play pivotal roles across various *** is a growing interest in producing varied types and configurations of amino *** fermentation appears to a viable approach to produce amino acids at an industrial *** innovative method under investigation is catalytic synthesis using renewable biomass as *** a method taps into the inherent nitrogen in biomass sources like chitin and proteins,eliminating the need for external nitrogen *** environmentally friendly approach is in line with green chemistry principles and has been gathering momentum in the scientific community.

关键词： amino acids pyrolysis biomass nitrogen mechanisms bioenergy

Charged Particles Capture Cross-section by a Weakly Charged Schwarzschild Black Hole

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Research in Astronomy and Astrophysics 2024年第8期24卷 141-146页

作者： A.M.al Zahrani A.al-jama Physics Department King Fahd University of Petroleum and MineralsDhahran 31261Saudi Arabia

We study the capture cross-section of charged particles by a weakly charged Schwarzschild black *** dependence of the maximum impact parameter for capture on the particle’s energy is investigated numerically for different values of the electromagnetic coupling strength between the particle and the black *** capture cross-section is then *** show that the capture cross-section is independent of the electromagnetic coupling for ultra-relativistic *** astrophysical implications of our results are discussed.

关键词： stars black holes-accretion-accretion disks-black hole physics