Instrumentation dans l'industrie pétrochimique

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Detection and localization of brain tumor by Deep Learning models
(Université M’Hamed Bougara Boumerdès : Faculté des Hydrocarbures et de la Chimie, 2024) Salhi, Mohammed Nadjib Allah; Lachekhab (Kahoul), Fadhila (Promoteur)
Healthcare MRI for brain tumor is a critical aspect of modern medicine, particularly in diagnosing and treating neurological disorders. Brain tumors pose significant health risks, and early detection is key to successful treatment outcomes. Traditional diagnostic methods often involve manual interpretation of MRI images by skilled radiologists, which can be time-consuming and subject to human error. Recent advancements in medical imaging and AI have paved the way for more efficient and accurate diagnosis of brain tumors using Deep Learning algorithms. This study proposes a Deep Learning-powered MRI-based system for automated detection and localization of brain tumors. Utilize Convolutional Neural Networks (CNNs) to analyze MRI scans and classify them into two classes: "Tumor" and "No tumor." To train and evaluate the four models, a dataset comprising of MRI images with corresponding labels indicating the presence or absence of tumors is utilized and then localization of a tumor if it exists. Evaluation metrics such as accuracy, F1-score, Precision and Confusion Matrix are employed to assess the performance of the models in distinguishing between tumor and non-tumor cases. The results demonstrate the efficacy of the proposed approach in accurately identifying brain tumors from MRI scans.
Automatisation et supervision de l’unité de déshydratation par adsorption (UDA) via un automate programmable industriel «S7-300 »
(Université M’Hamed Bougara Boumerdès : Faculté des Hydrocarbures et de la Chimie, 2024) Yaalaoui, Tej Eddine; Chaouch, Fouad; Khebli, Abdelmalek (Promoteur)
Le Travail développé dans ce mémoire a porté sur « Automatisation et supervision de l’unité de déshydratation par adsorption (UDA) via un automate programmable industriel S7-300 ». Ce travail a été mené au sein d’une unité opérationnelle de traitement de gaz de SONATRACH (Tin Fouyé Tabankort). Cette station étant prévue d’être rénovée, le présent travail s’est focalisé sur la modernisation du système de pilotage et de supervision de l’Unité de déshydratation par adsorption (UDA) de la section fermeture gaz lift, à l’aide de l’automate S7-300 de SIEMENS. Cette action a notamment porté sur l’insertion d’un réseau de capteurs et transmetteurs intelligents. Les résultats enregistrés se sont traduits par l’amélioration de la sécurité des installations, l’accroissement du taux de disponibilité de l’outil industriel, ainsi que le confort de l’opérateur.
Intelligent calibration of level sensors using functional link neural networks with piecewise linear interpolation
(Université M’Hamed Bougara Boumerdès : Faculté des Hydrocarbures et de la Chimie, 2024) Benhacine, Souheil Nadjmeddine; Naili, Mohamed Chakib; Habbi, Hacene (Promoteur)
This Study focuses on designing an intelligent calibration model for level sensors by using the Functional Link Artificial Neural Network (FLANN). The FLANN has simple architecture and requires less computational effort compared to other neural networks models. This made it good enough in extending the linearity of many sensors and transducers as reported in recent literature. Despite its advantages, the standard FLANN model has limitations in terms of generalization and accuracy. To overcome this shortcoming, we propose in this study an approach that relies on integrating Piecewise Linear (PWL) interpolation with the FLANN model. This approach aims to improve the overall performance of the calibration process, offering better generalization capabilities. Building on an extensive experimental investigation of the intelligent calibration model on the typical problem of level sensors calibration, this manuscript outlines the methodology, implementation steps, and findings of our study.
Study of the «XGF868I» flare gas flow meter solution at the «HBNS Oil Field» with addressing its lack of data integration into the «ICSS» control system
(Université M’Hamed Bougara Boumerdès : Faculté des Hydrocarbures et de la Chimie, 2024) Radjouh, Abderraouf; Chaib, Ahmed (Promoteur)
This Thesis addresses the lack of detailed flare gas data and diagnostic data from XGF868i flow meters in the ICSS control system at the Groupement Berkine HBNS site. The solution includes creating 17 analog points, each one representing specific data retrieved from the flow meters via Modbus communication. Advanced configurations, such as alarm and historical data settings, were established for analysis and troubleshooting. Additionally, HMIs were developed for six flares, providing easy access from the control room and also enabling remote access through the Honeywell E-server solution. These enhancements contribute to safer, more efficient, and environmentally responsible operations.
Design of specifications for automatic driving by «API S7/400» dedicated to the Laghouat fuel depot «ESD» protection system
(Université M’Hamed Bougara Boumerdès : Faculté des Hydrocarbures et de la Chimie, 2024) Ali, Basma; Boumedine, Mohamed Said (Promoteur)
In This Study, I comprehensively explored the conception and implementation of an innovative automation and supervision framework for the Emergency Shutdown System (ESD) at the Laghouat Fuel Depot. Initially, I delved into gaining a thorough understanding of the complex operational processes governing the depot. Following this, I crafted a tailored instrumentation strategy to meet the system's specific requirements. Subsequently, I designed and executed sophisticated automation architecture. These concerted efforts led to the development of a robust security infrastructure, bolstered by an intuitive SCADA supervision interface. This interface equips operators with comprehensive control capabilities, facilitating dynamic process visualization and efficient data acquisition, encompassing measurements, alerts, trends, and archives.
Estimation of the level and temperature liquid of a two-tank coupled system subject to disturbances
(Université M’Hamed Bougara Boumerdès : Faculté des Hydrocarbures et de la Chimie, 2024) Cheikh, Brahim Said; Youssef, Tewfik (Promoteur)
This Thesis examines the application of estimation techniques to determine non-measurable state variables in a two-tank coupled system, a widely used dynamic model in industrial processes. It emphasizes the Luenberger observer algorithm as an effective estimation method. Given the inherent limitations in direct measurement, state estimation is vital for ensuring accurate process control and fault detection. The study encompasses control system theory, the modeling and linearization of the two-tank system, and the use of the Luenberger observer to estimate both measurable and non-measurable variables. Results indicate that while full-state observation delivers precise estimates, partial-state observation provides reliable approximations, highlighting the value of estimation in maintaining robust control under varying conditions and disturbances.
Comparative interactions analysis of «APC» and «PID» controllers in Distillation column at Skikda «GL1K» complex
(Université M’Hamed Bougara Boumerdès : Faculté des Hydrocarbures et de la Chimie, 2024) Marref, Akram Wanisse; Kremis, Khalid; Khebli, Abdelmalek (Promoteur)
The Objective of this thesis is to evaluate the performance of Honeywell's Advanced Process Control (APC) system in multivariable processes and to compare it with traditional PID controllers. This study was conducted at the GL1K complex in Skikda, which specializes in the liquefaction of natural gas. We examined the effectiveness of APC in managing the complex interactions within the process, focusing on key performance indicators such as stability, efficiency, and product quality. The results demonstrated that APC significantly improves process performance and reduces variability compared to conventional PID controllers. This research highlights the advantages of advanced control strategies in optimizing industrial operations and ensuring superior control over multivariable systems.
Evolving cloud-based fault monitoring system for an industrial gas turbine
(Université M’Hamed Bougara Boumerdès : Faculté des Hydrocarbures et de la Chimie, 2024) Fadel, Mohamed Saout El Hak; Messaoudi, Mohammed Rida; Habbi, Hacene (Promoteur)
The Thesis focuses on the development and implementation of an evolving fault monitoring system for an industrial gas turbine. Building on our study of turbine during our internship, this work is dedicated to creating an evolving cloud-based system of AnYa-type to detect and identify different fault scenarios in the industrial gas turbine. This model leverages real-time data and non-parametric methods to adapt to dynamic environments, enhancing efficiency and reliability in complex systems. Our efforts have been directed towards building this monitoring system to ensure continuous learning and adaptation, ultimately improving operational performance under normal and fault modes.
Pressur control system for «Vessel D20» in the refinery of Algeirs «RA1G» using «S7-300»
(Université M’Hamed Bougara Boumerdès : Faculté des Hydrocarbures et de la Chimie, 2024) Benkhedidja, Yamina; Kesraoui, Mohamed (Promoteur)
Industrial installations in the oil and gas domain present risks to people, the environment, and equipment, hence the need to implement safety systems for these high-risk installations to comply with regulatory requirements. To ensure safer, more reliable, and uninterrupted operations and to reduce opera- tional risks to a maximum ownership value, we have opted to carry out this work to maintain pressure in the D20 vessel of unit 780 (utility 1), which serves as the instrument air supply for the ADU unit.
Automatisation d’un système de ramonage de chaudière par automate programmable «Siemens S7-300»
(Université M’Hamed Bougara Boumerdès : Faculté des Hydrocarbures et de la Chimie, 2024) Boukhelifi, Mohamed El Amine; Hammal, Yasser; Khelassi, Abdelmadjid (Promoteur)
Nous Visons à créer un système de ramonage automatique d'une chaudière en utilisant un automate programmable Siemens S7-300 afin d'optimiser le fonctionnement et d'améliorer le rendement de celle-ci, dans le cadre de notre projet réalisé dans la raffinerie d'Alger. Ce système offre la possibilité de nettoyer les composants de la chaudière et de retirer automatiquement les dépôts de résidus et de cendres des gaz de combustion, ce qui permet d'obtenir une solution plus économe et plus performante.
PLC control systems in natural gas processing : solutions for back pressure problems
(Université M’Hamed Bougara Boumerdès : Faculté des Hydrocarbures et de la Chimie, 2024) Berkane, Aimen; Debbeche, Aimene Anis Taki Eddine; Beddek, Karim (Promoteur)
This Dissertation addresses back pressure issues in industrial air dryer systems by replacing check valves with solenoid valves and a cam timer with a PLC. Conducted at Sonatrach GL1/K, the study achieve the reengineered setup using Triconex PLC and AVEVA InTouch HMI software, confirming improved functionality and reliability. This solution solves back pressure problem, enhances performance of the air dryer and reduces maintenance costs.
Contrôle et supervision d’un générateur d'Azote par un «API S-7 1500»
(Université M’Hamed Bougara Boumerdès : Faculté des Hydrocarbures et de la Chimie, 2024) Zidhane, Ahmed Ridha; Sadi, Seifeddine; Beddek, Karim (Promoteur)
Notre Projet de fin d'études vise à concevoir et automatiser un générateur d'azote en utilisant le logiciel TIA Portal de Siemens, combinant ainsi programmation, automatisation industrielle et conception d'interfaces homme-machine (HMI) pour optimiser le processus de génération d'azote.
Automatisation de l’unité de la déshydratation du gaz naturel au complexe «GL1/K» en utilisant un automate programmable industriel Siemens
(Université M’Hamed Bougara Boumerdès : Faculté des Hydrocarbures et de la Chimie, 2024) Ait Hammou, Mourad; Benlefki, Ahmed Wassim; Chaib, Ahmed (Promoteur)
Ce Projet de fin d'études porte sur l'automatisation de l'unité de déshydratation du gaz naturel au sein du complexe GL1/K de Skikda en utilisant un automate programmable Siemens S7-400. L'objectif principal est d'isoler cette unité du système de contrôle distribué (DCS) pour faciliter la maintenance et améliorer la performance opérationnelle. Le rapport est structuré en cinq chapitres, couvrant la présentation du complexe, la description du processus de déshydratation, les instruments utilisés et le choix de l'automate, la programmation et l'implémentation du système de contrôle, ainsi que la supervision via WinCC. Les résultats montrent une amélioration significative de la fiabilité et de la gestion de l'unité, avec une interface utilisateur optimisée pour une supervision efficace.
Remote level control and monitoring in a laboratory tank system using Internet of Things
(Université M’Hamed Bougara Boumerdès : Faculté des Hydrocarbures et de la Chimie, 2025) Belabassi, Rofaida; Habbi, Hacene (Promoteur)
The Aim of this project is to design and implement an Internet of Things (IoT) level control and monitoring system for a laboratory tank that employs sensors, microcontrollers, and cloud connectivity to track liquid levels in real time. The IoT system employs the smart ESP32 board which takes full control, monitoring and supervision of the level in the tank during system operation. Basically, level measurements are gathered from an ultrasonic sensor and send out to the Blynk IoT platform, which allows supervising remotely and in real time the level readings and get alerts sent straight to users’ smartphones. The system is intended to be inexpensive, scalable, and flexible enough to accommodate many usage cases, especially in areas like oil and gas industry where automation and resource efficiency are crucial for production system reliability and safety.
Modélisation et régulation d'un compresseur centrifuge à l'aide d'une vanne anti pompage : étude du phénomène de pompage et simulation sous «MATLAB/Simulink»
(Université M’Hamed Bougara Boumerdès : Faculté des Hydrocarbures et de la Chimie, 2025) Amrane, Oussama; Boulehfa Chadly, Aziz; Mecheri, Belgacem (Promoteur)
Ce Mémoire porte sur la modélisation et la régulation d’un compresseur centrifuge, utilisé largement dans les installations industrielles pétrolières et gazières pour la compression du gaz. L’objectif principal est de prévenir le phénomène de pompage, une instabilité aérothermodynamique dangereuse pouvant causer des vibrations, des défaillances mécaniques graves et des interruptions de production. Pour y remédier, une vanne anti-pompage, commandée par un régulateur PID, est mise en œuvre afin de maintenir le compresseur dans une zone de fonctionnement stable. Le travail comporte une modélisation mathématique du compresseur et de la vanne, ainsi que la conception d’une régulation efficace. Les simulations réalisées sous MATLAB/Simulink ont permis de tester différents scénarios et de valider la stratégie de commande. Les résultats obtenus démontrent que la régulation permet d’atténuer significativement les risques de pompage, assurant ainsi la fiabilité et la performance énergétique du système.
“MARK VIe-Based Control & Supervision” of lube oil system in "MS5002D" gas turbine
(Université M’Hamed Bougara Boumerdès : Faculté des Hydrocarbures et de la Chimie, 2025) Kezzoula, Ayoub; Bouhrine, Amira; Kahoul, Fadhila (Promoteur)
This Work consists of four chapters organized as follows: Chapter I, we provide an overview of the Tiguentourine s gas treatment complex operated by the tree companies (Sonatrach, Eni and Equinor) focusing on the raw gas transformation through its central processing facilities and to finally jumping into the gas turbine fundamentals. Chapter II: we present the gas turbine generator 5002D, its component and operational loop detailing the turbine lubricating oil cooling subsystem and its important role in maintaining the turbine efficiency and extending the operational life and reliability to the turbine mechanical components. Chapter III: we will explore the Mark Vie’s hardware presenting its whole architecture, including its components and communications networks then the software environment, including the engineering tools and configuration capabilities that enable advanced monitoring, control, and diagnostics of the gas turbine generator and its auxiliary systems. Chapter IV: this chapter presents the proposed technical solution, which consists of replacing the malfunctioning self-actuated valve with a controlled valve and integrating a PI controller. The selection process for the new valve was guided by system specifications and flow coefficient calculations. Adjustments to the MARK VIe logic were executed using ToolboxST, including the addition the necessary conditions. The new configuration was then simulated and validated to confirm proper functionality.
Optimisation de la station de pompage "SP1-ROB1" : régulation de débit et de pression des pompes d’expédition du pétrole brut
(Université M’Hamed Bougara Boumerdès : Faculté des Hydrocarbures et de la Chimie, 2025) Laliam, Ali; Khelassi, Abdelmadjid (Promoteur)
L’Objectif principal de ce mémoire est donc double : d’une part, réaliser une étude détaillée des éléments d’instrumentation et de commande en place, et d’autre part, concevoir et simuler un programme d’automatisation intégrant les différentes boucles de régulation et les scénarios de fonctionnement à l’aide des logiciels TIA Portal et Aspen HYSYS. La problématique à laquelle ce travail tente de répondre est la suivante : comment assurer le bon fonctionnement des différents régimes d’exploitation de la station de pompage SP1-ROB1, tout en garantissant la stabilité des paramètres critiques tel à travers une automatisation fiable et adaptée ?
"IoT" based real time monitoring and control of level “II” digital twin of pipeline systems using “Arduino” and “LabVieW”
(Université M’Hamed Bougara Boumerdès : Faculté des Hydrocarbures et de la Chimie, 2025) Mekhalif, Ouail; Fartas, Nour Elhouda (Promoteur)
Pipeline transportation is a fundamental phase in the oil and gas chain, responsible for the efficient and continuous transfer of fluids over long distances. However, this infrastructure faces critical challenges such as pressure fluctuations, flow irregularities, and vibration problems, which can lead to operational disruptions and environmental hazards. To address these issues, this thesis proposes a smart pipeline monitoring system based on Arduino, LabVIEW, and IoT technologies. The system is built using an Arduino UNO microcontroller in conjunction with a NodeMCU ESP8266 module for wireless data transmission. A G1/4 0–1.2 MPa hydraulic pressure sensor and a YF-S201 flow sensor are integrated to measure key parameters in the pipeline. Local alerts are triggered using LEDs and a buzzer in the event of abnormal readings. Calibration data is stored in EEPROM to maintain measurement consistency, and a manual calibration trigger is implemented to enhance long-term accuracy. Monitoring is achieved through a dual-interface approach : real-time sensor data is transmitted to the ThingSpeak IoT platform for cloud-based visualization and remote access, while LabVIEW is used locally to create a dynamic graphical user interface (GUI). The LabVIEW interface provides live data plotting, digital gauges for pressure and flow, system status indicators, and manual control buttons. Additionally, the GUI offers real-time alarms and logging capabilities for localized supervision. This hybrid system demonstrates a cost-effective and scalable solution that integrates embedded systems, graphical programming, and IoT to enhance the reliability, transparency, and safety of pipeline infrastructure in the oil and gas industry.
Étude et réalisation d’un système automatisé de gestion du cycle combiné Turbine à Gaz-Turbine à Vapeur basé sur un automate programmable industriel «S7-300»
(Université M’Hamed Bougara Boumerdès : Faculté des Hydrocarbures et de la Chimie, 2025) Djillali, Malek; Boumedine, Mohamed Said (Promoteur)
Ce Travail a pour objectifs principaux : Analyser les fondements théoriques des cycles combinés gaz-vapeur et mettre en évidence leurs avantages sur le plan énergétique et environnemental ; Présenter les principes de l’automatisation industrielle et le rôle des automates programmables dans la gestion des procédés complexes ; Décrire en détail l’architecture et le fonctionnement de l’API Siemens S7-300, en insistant sur ses potentialités pour les systèmes énergétiques ; Concevoir et expliquer une commande automatique de marche/arrêt des turbines (gaz et vapeur) via l’API S7-300, à l’aide d’outils de modélisation tels que les Grafcets et les tableaux d’entrées/sorties ; Proposer une étude de cas pratique, illustrant la mise en œuvre de cette commande dans le cadre d’une centrale à cycle combiné.
Modernization of the fire and gas system with supervision in Train "1" of the "BRN" site using a "Siemens S7-1500F" safety "PLC"
(Université M’Hamed Bougara Boumerdès : Faculté des Hydrocarbures et de la Chimie, 2025) Bennaceur, Nadir; Cherif, Tarek; Chaib, Ahmed (Promoteur)
This Final project focuses on the modernization of the fire and gas detection system of Train 1 at the BRN site operated by Sonatrach and ENI. The main objective is to replace the existing system with a more reliable solution that meets international safety standards, using an advanced safety controller. The project includes analysis of the current system, design of a new control architecture, integration of flame, gas, and smoke detectors, and development of a supervision interface for system monitoring. This modernization aims to improve detection speed, alarm response, and overall plant safety.