The effect of using different fibres on the impact-resistance of slurry infiltrated fibrous concrete (SIFCON)
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Publication Date
Sat Dec 30 2023
Journal Name
Iraqi Journal Of Science
Energy Consumption Prediction of Smart Buildings by Using Machine Learning Techniques
Smart building
Energy consumption
Internet Of Thing
Cloud Computing
Support Vector Regression
Support Vector Machine
This paper presents an IoT smart building platform with fog and cloud computing capable of performing near real-time predictive analytics in fog nodes. The researchers explained thoroughly the internet of things in smart buildings, the big data analytics, and the fog and cloud computing technologies. They then presented the smart platform, its requirements, and its components. The datasets on which the analytics will be run will be displayed. The linear regression and the support vector regression data mining techniques are presented. Those two machine learning models are implemented with the appropriate techniques, starting by cleaning and preparing the data visualization and uncovering hidden information about the behavior of
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Publication Date
Thu Dec 01 2022
Journal Name
International Journal Of Electrical And Computer Engineering (ijece)
Smart internet of things kindergarten garbage observation system using Arduino uno
<span lang="EN-US">Increase the in population and kindergarten number, especially in urban areas made it difficult to properly manage waste. Thus, this paper proposed a system dedicated to kindergartens to manage to dispose of waste, the system can be called smart garbage based on internet of things (SGI). To ensure a healthy environment and an intelligent waste in the kindergarten management system in an integrated manner and supported by the internet of things (IoT), we presented it in detail identification, the SGI system includes details like a display system, an automatic lid system, and a communication system. This system supplied capabilities to monitor the status of waste continuously and on IoT website can show the pe
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(3)
(1)
Publication Date
Mon Jul 01 2019
Journal Name
Iop Conference Series: Materials Science And Engineering
Calculating heterogeneity of Majnoon Field/Hartha Reservoir using Lorenz Coefficient method
Abstract<p>One of the principle concepts to understand any hydrocarbon field is the heterogeneity scale; This becomes particularly challenging in supergiant oil fields with medium to low lateral connectivity and carbonate reservoir rocks.</p><p>The main objectives of this study is to quantify the value of the heterogeneity for any well in question, and propagate it to the full reservoir. This is a quite useful specifically prior to conducting detailed water flooding or full field development studies and work, in order to be prepared for a proper design and exploitation requirements that fit with the level of heterogeneity of this formation.</p><jats></jats>
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Publication Date
Tue May 01 2018
Journal Name
Journal Of Physics: Conference Series
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(4)
Publication Date
Mon Dec 10 2018
Journal Name
Day 1 Mon, December 10, 2018
Wellbore Trajectory Optimization Using Rate of Penetration and Wellbore Stability Analysis
reservoir geomechanics
log analysis
machine learning
wellbore integrity
Artificial Intelligence
Wellbore Trajectory Optimization
neural network
wellbore stability analysis
Wellbore Design
wellbore trajectory
Drilling deviated wells is a frequently used approach in the oil and gas industry to increase the productivity of wells in reservoirs with a small thickness. Drilling these wells has been a challenge due to the low rate of penetration (ROP) and severe wellbore instability issues. The objective of this research is to reach a better drilling performance by reducing drilling time and increasing wellbore stability.
In this work, the first step was to develop a model that predicts the ROP for deviated wells by applying Artificial Neural Networks (ANNs). In the modeling, azimuth (AZI) and inclination (INC) of the wellbore trajectory, controllable drilling parameters, unconfined compressive strength (UCS), formation
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(12)
Publication Date
Wed Aug 12 2020
Journal Name
International Journal On Advanced Science, Engineering And Information Technology
Publication Date
Sun May 01 2016
Journal Name
International Journal Of Computer Applications
Publication Date
Fri Oct 02 2020
Journal Name
International Journal Of Pharmaceutical Research
(2)
Publication Date
Mon Sep 01 2014
Journal Name
Journal Of Baghdad College Of Dentistry
Publication Date
Sat Jun 26 2021
Journal Name
Journal Of Engineering
Adsorption Desulfurization of Iraqi Light Naphtha Using Metals Modified Activated Carbon
light naphtha
adsorption
desulfurization
modified activated carbon
The study aims to evaluate the removal of sulfur content from Iraqi light naphtha produced in Al-Dora refinery by adsorption desulfurization DS technique using modified activated carbon MAC loaded with nickel Ni and copper Cu as single binary metals. The experiments were carried in a batch unit with various operating parameters; MAC dosage, agitation speed, and a contact time of 300 min at constant initial sulfur concentration 155 ppm and temperature. The results showed higher DS% by AC/Ni-Cu (66.45)% at 500 rpm and 1 g dosage than DS (29.03)% by activated carbon AC, increasing MAC dosage, agitation speed, and contact time led to increasing DS% values. The adsorption capacity of MAC results was recorded (16, 15, and 20) mg sulfu
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