检索结果-南通市图书馆

3D static modeling and sequence stratigraphy using well logs and seismic data:An example of Abu Roash G member in Bahga oilfield

引用

Energy Geoscience 2024年第3期5卷 362-377页

作者： Mohamed Reda Mohamed Fathy Mohamed Mosaad fahad alshehri Mohamed S.Ahmed Geology Department Faculty of ScienceAl-Azhar UniversityP.O.Box 11884Nasr CityCairoEgypt Abdullah Alrushaid Chair for Earth Science Remote Sensing Research Geology and Geophysics DepartmentCollege of ScienceKing Saud UniversityRiyadh11451Saudi Arabia

This research uses both three-dimensional(3D)modeling and geologic well control to piece back together the architectural parts of the Late Cretaceous *** goal is to figure out the sizes,directions,locations,and controls of the layers of the fluvial sandstone *** stratigraphy is essential for 3D reservoir modeling and petroleum geology understanding in the Bahga *** purpose of this work is to create a static model that shows the layers and facies distribution in the reservoir *** will use data from nine well logs and 22 seismic lines calibrated by the Abu Roash G Member reservoir core intervals to accomplish *** petrophysical study discovered three parts in the Abu Roash G Member reservoir rock:channel fill that is affected by tides,channel fill that is dominated by tides(intertidal sands),and channel top with lenticular bedded *** model's findings point to the existence of an NNW-oriented sand body,which could be a prime location to produce *** original oil in place(OOIP)is about 3,438,279 Stock Tank Barrels(STB),and the oil reserve reaches up to 1,031,484(STB).Sequence stratigraphic analysis using seismic and well log information(SB)reveals that the Upper Cretaceous AR/G reservoir of the Bahga field is characterized by third-and fourth-order stratigraphic sequences,which are constrained by three Maximum Flooding Surfaces(MFS)and two Sequence *** integration of the derived geological model and sequence stratigraphic results can lower future extraction risk by identifying the locations and trends of the geologic facies with the necessary petrophysical properties for the hydrocarbon accumulations.

关键词： Three-dimensional reservoir modeling Sequence stratigraphy Reservoir characterization Abu Roash reservoir Abu Gharadig Basin

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Oil-source correlation and Paleozoic source rock analysis in the Siwa Basin,Western Desert:Insights from well-logs,Rock-Eval pyrolysis,and biomarker data

引用

Energy Geoscience 2024年第3期5卷 313-327页

作者： Mohamed I.Abdel-Fattah Mohamed Reda Mohamed Fathy Diaa A.Saadawi fahad alshehri Mohamed S.Ahmed Petroleum Geosciences and Remote Sensing Program Department of Applied Physics and AstronomyCollege of SciencesUniversity of SharjahSharjah27272United Arab Emirates Geology Department Faculty of ScienceSuez Canal UniversityIsmailiaEgypt Faculty of Science Geology DepartmentAl-Azhar UniversityP.O.Box 11884Nasr CityCairoEgypt Abdullah Alrushaid Chair for Earth Science Remote Sensing Research Geology and Geophysics DepartmentCollege of ScienceKing Saud UniversityRiyadh11451Saudi Arabia

Understanding the origins of potential source rocks and unraveling the intricate connections between reservoir oils and their source formations in the Siwa Basin(Western Desert,Egypt)necessitate a thorough oil-source correlation *** objective is achieved through a meticulous analysis of well-log responses,Rock-Eval pyrolysis,and biomarker *** analysis of Total Organic Carbon across 31 samples representing Paleozoic formations in the Siwa A-1X well reveals a spectrum of organic richness ranging from 0.17 wt%to 2.04 wt%,thereby highlighting diverse levels of organic content and the presence of both Type II and Type III *** of the fingerprint characteristics of eight samples from the well suggests that the Dhiffah Formation comprises a blend of terrestrial and marine organic ***,a significant contribution from more oxidized residual organic matter and gas-prone Type III kerogen is ***,the Desouky and Zeitoun formations exhibit mixed organic matter indicative of a transitional environment,and thus featuring a pronounced marine influence within a more reducing setting,which is associated with Type II *** analysis of five oil samples from different wells—SIWA L-1X,SIWA R-3X,SIWA D-1X,PTAH 5X,and PTAH 6X,it is evident that terrestrial organic matter,augmented by considerable marine input,was deposited in an oxidizing environment,and contains Type III *** scrutiny confirms the coexistence of mixed terrestrial organic matter within varying redox *** is the uniformity of identified kerogen Types II and III across all samples,known to have potential for hydrocarbon *** discovery presented in this paper unveils captivating prospects concerning the genesis of oil in the Jurassic Safa reservoir,suggesting potential links to Paleozoic sources or even originating from the Safa Member *** revelations mark a substantial advancement in understanding source

关键词： Biomarker data Oil-source correlation Rock-Eval pyrolysis Source rocks Siwa Basin

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

A Novel-based Swin Transfer Based Diagnosis of COVID-19 Patients

引用

Intelligent Automation & Soft Computing 2023年第1期35卷 163-180页

作者： Yassir Edrees Almalki Maryam Zaffar Muhammad Irfan Mohammad Ali Abbas Maida Khalid K.S.Quraishi Tariq Ali fahad alshehri Sharifa Khalid Alduraibi Abdullah AAsiri Mohammad Abd Alkhalik Basha Alaa Alduraibi M.K.Saeed Saifur Rahman Department of Medicine Division of RadiologyMedical CollegeNajran UniversityNajran11001Saudi Arabia Department of Computer Science and Information Technology Ibadat International UniversityIslamabad44000Pakistan Electrical Engineering Department College of EngineeringNajran UniversityNajran11001Saudi Arabia Department of Chemical Engineering PIEAS UniversityIslamabad44000Pakistan Department of Computer Science COMSATS University Islamabad(CUI)Sahiwal Campus57000Pakistan Department of Radiology College of MedicineQassim UniversityBuraydah52571Saudi Arabia Radiological Sciences Department College of Applied Medical SciencesNajran UniversityNajran11001Saudi Arabia Faculty of Human Medicine Zagazig University44631Egypt

The numbers of cases and deaths due to the COVID-19 virus have increased daily all around the *** X-ray is considered very useful and less time-consuming for monitoring COVID *** doubt,X-ray is considered as a quick screening method,but due to variations in features of images which are of X-rays category with Corona confirmed cases,the domain expert is *** address this issue,we proposed to utilize deep learning *** this study,the dataset of COVID-19,lung opacity,viral pneumonia,and lastly healthy patients’images of category X-rays are utilized to evaluate the performance of the Swin transformer for predicting the COVID-19 patients *** performance of the Swin transformer is compared with the other seven deep learning models,including ResNet50,DenseNet121,InceptionV3,EfficientNetB2,VGG19,ViT,CaIT,Swim transformer provides 98%recall and 96%accuracy on corona affected images of the X-ray *** proposed approach is also compared with state-of-the-art techniques for COVID-19 diagnosis,and proposed technique is found better in terms of *** system could support clin-icians in screening patients for COVID-19,thus facilitating instantaneous treatment for better effects on the health of COVID-19 ***,this paper can contribute to saving humanity from the adverse effects of trials that the Corona virus might bring by performing an accurate diagnosis over Corona-affected patients.

关键词： Biomedical systems chest X-ray images CNN COVID-19 swin transformer image processing

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Efficient User Pairing for Performance Enhancement of Downlink NOMA Systems

引用

Computer Systems Science & Engineering 2022年第8期42卷 535-544页

作者： fahad Alraddady Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

In this paper,the resource allocation problem for user pairing(UP)in downlink non-orthogonal multiple access(NOMA)systems is *** allows the use of one subcarrier for more than one user at the same time,thus increases the total capacity of the wireless communication ***,users pairing is a challenging task in the NOMA systems,because a good channel quality subcarrier should be selected and allocated for the user to enhance the performance of NOMA *** proposed UP algorithm aims to enhance the sum rate of the paired users per subcarrier and consequently enhance the total sum rate of downlink NOMA ***,the proposed UP algorithm target to improve the fairness of the *** proposed UP algorithm is based on a simple search for the subcarrier with the minimum average channel gains to be assigned its paired users and then excluding it from the next searching *** proposed scheme ensures the higher channel gain for users by giving the priority to the subcarrier with the minimum average channel gains during the user pairing *** simulation results demonstrate that the proposed UP algorithm can not only enhance the total sum rate compared with the random UP and conventional UP but also can enhance the fairness of the ***,it is clearly seen that the proposed UP algorithm provides the lowest outage probability.

关键词： 5G NOMA sum-rate user pairing fairness

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Fuzzy Based Decision-Making Approach for Estimating Usable-Security of Healthcare Web Applications

引用

Computers, Materials & Continua 2021年第3期66卷 2599-2625页

作者： fahad A.Alzahrani Computer Engineering Department Umm Al-Qura UniversityMecca24381Saudi Arabia

Usability and security are often considered contradictory in *** has a negative impact on the *** order to satisfy the needs of users with the security perspective,the relationship and trade-offs among security and usability must be *** practitioners are working on developing new approaches that would help to secure healthcare web applications as well increase usability of the web *** the same league,the present research endeavour is premised on the usable-security of healthcare web *** a compatible blend of usability and security that would fulfill the users’requirments,this research proposes an integration of the Fuzzy AHP-TOPSIS method for assessing usable-security of healthcare web *** the estimation of security-usability accrately is also a decision making problem,the study employs Multiple Criteria Decision Analysis(MCDA)for selecting the most decisive attributes of usability as well as ***,this study also pinpoints the highest priority attributes that can strengthen the usable-security of the healthcare web *** effectiveness of the suggested method has been tested on the healthcare web applications of local hospitals in Mecca,Saudi *** results corroborate that Fuzzy AHP-TOPSIS is indeed a reliable technique that will help the developers to design a healthcare web applications that delivers optimum usable-security.

关键词： Decision making healthcare web application usable-security fuzzy ahp fuzzy topsis

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Estimating Security Risk of Healthcare Web Applications: A Design Perspective

引用

Computers, Materials & Continua 2021年第4期67卷 187-209页

作者： fahad A.Alzahrani Department of Computer Engineering Umm Al-Qura UniversityMecca24381Saudi Arabia

In the recent years,the booming web-based applications have attracted the hackers’*** security risk of the web-based hospital management system(WBHMS)has been increasing *** the given context,the main goal of all security professionals and website developers is to maintain security divisions and improve on the user’s confidence and *** this point,the different WBHMS tackle different types of security *** WBHMS,the security of the patients’medical information is of utmost *** in all,there is an inherent security risk of data and assets in the field of the medical industry as a *** objective of this study is to estimate the security risk assessment of *** risks assessment pertains to securing the integrity of the information in alignment with the Health Insurance Portability and Accountability *** includes protecting the relevant financial records,as well as the identification,evaluation,and prevention of a data *** the past few years,according to the US-based cyber-security firm Fire-eye,6.8 million data thefts have been recorded in the healthcare sector in *** breach barometer report mentions that in the year 2019,the data breaches found were up to 48.6%as compared to the year ***,it is very important to assess the security risk in *** this research,we have followed the hybrid technique fuzzy analytic hierarchy process-technique for order of preference by similarity to ideal solution(F-AHPTOPSIS)approach to assess the security risk in *** place of this empirical database is at the local hospital of Varanasi,U.P.,*** the affectability of WBHMS for its board framework,this work has used diverse types of web *** outcomes obtained and the procedure used in this assessment would support future researchers and specialists in organizing web applications through advanced support of safety and security.

关键词： Web based hospital management system security risk fuzzy AHP fuzzy TOPSIS

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Network Intrusion Detection Model Using Fused Machine Learning Technique

引用

Computers, Materials & Continua 2023年第5期75卷 2479-2490页

作者： fahad Mazaed Alotaibi Faculty of Computing and Information Technology in Rabigh(FCITR) King Abdulaziz UniversityJeddahSaudi Arabia

With the progress of advanced technology in the industrial revolution encompassing the Internet of Things(IoT)and cloud computing,cyberattacks have been increasing rapidly on a large *** rapid expansion of IoT and networks in many forms generates massive volumes of data,which are vulnerable to security *** a result,cyberattacks have become a prevalent and danger to society,including its infrastructures,economy,and citizens’privacy,and pose a national security risk ***,cyber security has become an increasingly important issue across all levels and *** progress is being made in developing more sophisticated and efficient intrusion detection and defensive *** the scale of complexity of the cyber-universe is increasing,advanced machine learning methods are the most appropriate solutions for predicting cyber *** this study,a fused machine learning-based intelligent model is proposed to detect intrusion in the early stage and thus secure networks from harmful *** results confirm the effectiveness of the proposed intrusion detection model,with 0.909 accuracy and a miss rate of 0.091.

关键词： Cyberattack machine learning prediction solution intrusion detection

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Optimal Hybrid Deep Learning Enabled Attack Detection and Classificationin IoT Environment

引用

Computers, Materials & Continua 2023年第4期75卷 99-115页

作者： fahad F.Alruwaili College of Computing and Information Technology Shaqra UniversitySharqaSaudi Arabia

The Internet of Things (IoT) paradigm enables end users to accessnetworking services amongst diverse kinds of electronic devices. IoT securitymechanism is a technology that concentrates on safeguarding the devicesand networks connected in the IoT environment. In recent years, False DataInjection Attacks (FDIAs) have gained considerable interest in the IoT *** compromise the devices connected to the networkand inject the data. Such attacks on the IoT environment can result in a considerableloss and interrupt normal activities among the IoT network *** FDI attacks have been effectively overcome so far by conventional threatdetection techniques. The current research article develops a Hybrid DeepLearning to Combat Sophisticated False Data Injection Attacks detection(HDL-FDIAD) for the IoT environment. The presented HDL-FDIAD modelmajorly recognizes the presence of FDI attacks in the IoT *** HDL-FDIAD model exploits the Equilibrium Optimizer-based FeatureSelection (EO-FS) technique to select the optimal subset of the ***, the Long Short Term Memory with Recurrent Neural Network(LSTM-RNN) model is also utilized for the purpose of classification. At last,the Bayesian Optimization (BO) algorithm is employed as a hyperparameteroptimizer in this study. To validate the enhanced performance of the HDLFDIADmodel, a wide range of simulations was conducted, and the resultswere investigated in detail. A comparative study was conducted between theproposed model and the existing models. The outcomes revealed that theproposed HDL-FDIAD model is superior to other models.

关键词： False data injection attacks hyperparameter optimizer deep learning feature selection IoT security

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Artificial Intelligence Based Threat Detection in Industrial Internet of Things Environment

引用

Computers, Materials & Continua 2022年第12期73卷 5809-5824页

作者： fahad F.Alruwaili College of Computing and Information Technology Shaqra UniversitySharqaSaudi Arabia

Internet of Things(IoT)is one of the hottest research topics in recent years,thanks to its dynamic working mechanism that integrates physical and digital world into a single *** technology,applied in industries,is termed as Industrial IoT(IIoT).IIoT has been found to be highly susceptible to attacks from adversaries,based on the difficulties observed in IIoT and its increased dependency upon internet and communication *** or accidental attacks on these approaches result in catastrophic effects like power outage,denial of vital health services,disruption to civil service,etc.,Thus,there is a need exists to develop a vibrant and powerful for identification and mitigation of security vulnerabilities in *** this view,the current study develops an AI-based Threat Detection and Classification model for IIoT,abbreviated as AITDC-IIoT *** presented AITDC-IIoT model initially pre-processes the input data to transform it into a compatible *** addition,WhaleOptimizationAlgorithm based Feature Selection(WOA-FS)is used to elect the subset of ***,Cockroach Swarm Optimization(CSO)is employed with Random Vector Functional Link network(RVFL)technique for threat ***,CSO algorithm is applied to appropriately adjust the parameters related to RVFL *** performance of the proposed AITDC-IIoT model was validated under benchmark *** experimental results established the supremacy of the proposed AITDC-IIoT model over recent approaches.

关键词： Security industrial internet of things threat detection artificial intelligence feature selection

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

A Novel Method for Routing Optimization in Software-Defined Networks

引用

Computers, Materials & Continua 2022年第12期73卷 6393-6405页

作者： Salem Alkhalaf fahad Alturise Department of Computer College of Science and Arts in ArRass Qassim UniversityAr RassQassimSaudi Arabia

Software-defined network(SDN)is a new form of network architecture that has programmability,ease of use,centralized control,and protocol *** has received high attention since its *** SDN network architecture,network management becomes more efficient,and programmable interfaces make network operations more flexible and can meet the different needs of various *** mainstream communication protocol of SDN is OpenFlow,which contains aMatch Field in the flow table structure of the protocol,which matches the content of the packet header of the data received by the switch,and completes the corresponding actions according to the matching results,getting rid of the dependence on the protocol to avoid designing a new *** order to effectively optimize the routing forSDN,this paper proposes a novel algorithm based on reinforcement *** proposed technique canmaximize numerous objectives to dynamically update the routing strategy,and it has great generality and is not reliant on any specific network *** control of routing strategy is more complicated than many Q-learning-based algorithms due to the employment of reinforcement *** performance of the method is tested by experiments using the OMNe++*** experimental results reveal that our PPO-based SDN routing control method has superior performance and stability than existing algorithms.

关键词： Reinforcement learning routing algorithm software-defined network optimization

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：