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International Conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES 2024

作者： Tellaa, Mawloud Aibeche, Abderrezak Doghmane, Mohamed Zinelabidine Kidouche, Madjid Automation and Electrification of Process Applied Automation Laboratory Faculty of Hydrocarbons and Chemistry University M’Hamed Bougara Boumerdes35000 Algeria Institute of Electrical and Electronics Engineering University M’hamed Bougara Boumerdes Algeria Bob L. Herd Department of Petroleum Engineering Texas Tech University LubbockTX79401 United States

ISBN: (纸本)9783031803000

Various forms of vibrations can have a negative impact on the drilling process in rotary drilling equipment. The presence of vibrations can result in equipment damage, reduced borehole quality, decreased drilling efficiency, and increased non-productive time. Currently, the sole existing method to control these vibrations is by manually modifying drilling parameters, which is not a reliable technique and might lead to unfavourable economic consequences. Scientists have devised automated control systems to address these irregularities;however the effectiveness of the controllers is still being refined. Lately, the utilization of a PID controller based on particle swarm optimization has demonstrated noteworthy achievements. Nevertheless, the stick-slip vibration mitigation in rotary drilling equipment has not been subjected to testing. This research seeks to investigate and suggest the utilization of a PID controller, fine-tuned using the particle swarm optimization technique, to enhance the effectiveness of controllers developed for the purpose of reducing vibrations in rotary drilling systems. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Stick-slip

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Optimized GA-Based PID Control Design for Stick-Slip Suppression in Drill String of Rotary Drilling System

Optimized GA-Based PID Control Design for Stick-Slip Suppres...

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International Conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES 2024

作者： Mawloud, Tellaa Abderrezak, Aibeche Zinelabidine, Doghmane Mohamed Madjid, Kidouche Automation and Electrification of Process Applied Automation Laboratory Faculty of Hydrocarbons Chemistry University M’Hamed Bougara Boumerdes35000 Algeria Institute of Electrical and Electronics Engineering University M’hamed Bougara Boumerdes Algeria Bob L. Herd Department of Petroleum Engineering Texas Tech University LubbockTX79401 United States

ISBN: (纸本)9783031803000

Stick-slip phenomena in the oil and gas drilling sector cause drillstring vibrations that provide major issues. These vibrations result in reduced drilling efficiency, equipment malfunctions, and possible dangers. This work introduces a thorough method for modeling and regulating stick-slip behavior. It utilizes a mechanical model with three degrees of freedom (3-DOF) that incorporates the influence of dry friction. The model combines both axial and torsional degrees of freedom to precisely reflect the intricate dynamics of the drillstring. Additionally, a control technique is suggested to alleviate stick-slip vibrations. This strategy involves using a hybrid Proportional-Integral-Derivative (PID) controller that has been tuned using Genetic Algorithms (GA). The PID-GA controller is specifically engineered to manage the rotating speed, mitigate stick-slip oscillations, and improve drilling stability. The efficacy of the suggested 3-DOF model and PID-GA control method in reducing stick-slip vibrations during drilling is proven by numerical simulations conducted under different drilling situations. The findings demonstrate notable advancements in drilling performance, such as decreased vibrations caused by friction, improved efficiency in drilling, and extended lifespan of the drillstring. This research significantly helps to the progress of drilling operations by offering a strong framework for modeling and managing stick-slip behavior. As a result, it improves drilling performance and guarantees operational safety in the oil and gas industry. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Gas industry

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A Global MPPT Controller Based on an Improved Particle Swarm Optimization Algorithm 6th

A Global MPPT Controller Based on an Improved Particle Swarm...

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6th International Conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES 2022

作者： Mammeri, E. Ahriche, A. Necaibia, A. Bouraiou, A. Ziane, A. Lachtar, S. Applied Automation Laboratory Department of Automation and Electrification of Industrial Process Faculty of Hydrocarbons and Chemistry University of Boumerdes Boumerdes Algeria Unité de Recherche en Energie Renouvelables en Milieu Saharien URERMS Centre de Développement des Energies Renouvelables CDER Adrar01000 Algeria

ISBN: (纸本)9783031212154

Solar energy is growing rapidly in both industrial and agricultural domains because of its sustainability, low cost and fast implementation in isolated areas compared to fossil energy. However, the power produced by photovoltaic modules varies depending on the instantaneous irradiations and temperature in site besides load characteristics. Thus, Maximum Power Point Tracking (MPPT) strategies are used to extract the maximum power from the modules. In this paper, a Modified PSO algorithm (MPSO) is used to track the MPP of a PV system under partial shading conditions. The proposed MPSO has more efficient exploration and exploitation phases compared to the traditional PSO due to its variable cooperation and self-memory parameters. MPSO is compared with a classical MPPT technique and the conventional PSO algorithm. MPSO shows superior capabilities in terms of tracking speed and efficiency. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Solar energy

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Axial-Torsional Vibrations Interaction Analysis and Decoupling in Drill String Systems

Axial-Torsional Vibrations Interaction Analysis and Decoupli...

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Electrical Engineering and Automatic Control (ICEEAC), International Conference on

作者： Sabrina Meddah Sid Ahmed Tadjer Madjid Kidouche Mohamed Zinelabidine Doghmane Abdelhakim Idir Laboratory of Applied Automation Department of Automation FHC Univesity M'hamed Bougara Boumerdes Algeria Department of Automation FHC Laboratory for the electrification of industrial enterprises Univesity M'hamed Bougara Boumerdes Algeria Reservoirs Evaluation Department Laboratory of Applied Automation OPE Exploration Division Sonatrach Boumerdes Hassi Messaoud Algeria Electrical Engineering Department Laboratory of Applied Automation University Mohamed Boudiaf Msila Algeria

ISBN: (数字)9798350349740

ISBN: (纸本)9798350349757

Rotary drilling system is an important and crucial electromechanical system used in petroleum industry, it is used to drill holes and extract oil and gas from targeted reservoirs beneath the surface. The rate of penetration (ROP) is one of the quantitative metrics used to assess the performance of the drilling system. However, the appearance of unwanted vibrations generally leads to decrease of this performance and increase the nonproductive time (NPT), in addition to drill string damages and wears. These vibrations are classified according to their propagation direction into three types: Axial, Lateral and Torsional. Many researches have been dedicated to designing robust controller to mitigate such vibrations separately. Nevertheless, vibrations often occur simultaneously, with interactions between them. This interaction can have a direct influence on the robustness of the designed controllers. Thus, in order to design a robust controller that mitigate the most frequent vibrations (Axial and torsional), it is necessary to analyze the interaction between them and decouple them before application of any controller. The main objective of this study is to analyze the interaction between the axial and torsional vibrations in the Two-input two-output (TITO) drill string model and to design appropriate decouplers for the system. Based on the obtained results, we demonstrate a significant interaction between the torsional and axial vibrations, and proved that the introduced decouplers have omitted these interaction terms with a minimum influence on the whole dynamic of drill-string system. Therefore, applying this decoupling process is highly recommended to enhance the robustness of the controller in mitigating axial and torsional vibrations simultaneously.

关键词： Vibrations Drilling Measurement Oils process control Reservoirs Robustness

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A hybrid GWO-PSO algorithm for global MPP tracking in PV systems under PSCs 2

A hybrid GWO-PSO algorithm for global MPP tracking in PV sys...

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2nd International Conference on Energy Transition and Security, ICETS 2023

作者： Mammeri, Elhachemi Necaibia, Ammar Ahriche, Aimad Bouraiou, Ahmed Hassani, Islam Laboratory of Applied Automatic Dept. of Automation and Electrification Boumerdes Algeria Renouvelables en Milieu Saharien Unité de Recherche en Energie Urerms - Cder Adrar Algeria University of Adrar Laboratoire de Développement Durable et Informatique Adrar Algeria

ISBN: (纸本)9798350372182

Solar energy is rapidly gaining ground because of its sustainability, pollution-free nature, and cost-effectiveness. However, the efficiency of photovoltaic modules is affected by factors such as instant irradiation, temperature, and site-specific load properties. As a solution, MPPT strategies are employed to optimize module power extraction and reduce power losses. This study introduces an MPPT controller utilizing a hybrid GWO and PSO, specifically designed for PV systems operating under partial shading conditions *** assess the proposed algorithm, comparisons are made with both PSO and GWO algorithms to evaluate the performance of the hybrid method and perceive how the combination enhances tracking speed and efficiency compared to individual algorithms. Results indicate that the hybrid algorithm exhibits a minimum of 20% faster response time and superior tracking efficiency compared to PSO and GWO algorithms. © 2023 IEEE.

关键词： Cost effectiveness

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Modeling of a Coupled Severe Axial-Torsional Vibrations in Drill String Petroleum System

Modeling of a Coupled Severe Axial-Torsional Vibrations in D...

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International Conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES 2024

作者： Meddah, S. Idir, A. Doghmane, M.Z. Tadjer, S.A. Kidouche, M. Applied Automation Laboratory F.H.C University of Boumerdes Boumerdes35000 Algeria University of Boumerdes Boumerdes Algeria Electrical Engineering Department Mohamed Boudiaf University of M’sila M’sila Algeria Reservoirs Evaluation Department OPE Exploration Division SONATRACH Hassi Messaoud30500 Algeria Laboratory for the Electrification of Industrial Enterprises University of Boumerdes Boumerdes Algeria

ISBN: (纸本)9783031803000

The drilling industry faces a complex challenge in modeling dynamic vibrations during drilling because it directly affects drilling efficiency, tool longevity, and overall operational safety. The emphasis on creating reliable control systems that can either completely eliminate or significantly reduce these vibrations’ negative effects has increased as a result of the necessity to understand and manage them. Thus, developing a thorough grasp of the drill bit’s response to these dynamic forces is an essential first step in creating efficient control schemes. Numerous studies in the literature have previously examined the intricacies of the drill string’s behavior when subjected to axial-torsional vibrations. Numerous models have been put forth in these studies to capture the complex interaction between axial and torsional forces. But incorporating such control mechanisms calls for a more thorough investigation of the ways in which the drill string’s dynamic behavior and the control systems interact, especially in relation to the axial-torsional effects. Within this framework, our work aims to advance current understanding by providing a thorough model of our system that takes into account the particular subtleties of torsional and axial vibrations. Our main goal is to understand the complex interrelationship between these two vibration types and how they affect the drilling process as a whole. By dissecting this relationship, we hope to reduce the harmful effects of the coupled vibrations and increase the control system’s robustness and effectiveness. We think that this research has a lot of potential to improve our knowledge of and ability to control dynamic vibrations that occur during drilling operations, which will ultimately increase the overall effectiveness and safety of drilling procedures. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Drill strings

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Research on PSO-SVM base wine grade recognition based on Max-Relevance and Min-Redundancy feature selection

Research on PSO-SVM base wine grade recognition based on Max...

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作者： Yang, Jiaping Ren, Dongping Liu, Yong Zhou, Hailong Sun, Yunquan Institute of Engineering and Applied Technology Fudan University Shanghai China Brewing Process Optimization Department Luzhou Laojiao Co. Ltd. Luzhou China School of Automation and Information Engineering Sichuan University of Science and Engineering Zigong China Teaching and Research Section Artificial Intelligence of Key Laboratory of Sichuan Province Zigong China Research and Development Department Luzhou Zhitong Automation Equipment Co. Ltd. Luzhou China

In response to the challenges inherent in Baijiu classification, characterized by ambiguity and limited methodologies, this study introduces a novel framework for comprehensive Baijiu brewing process management. By integrating mathematical models and machine learning algorithms, our aim is to standardize and enhance the accuracy of the Baijiu brewing process. Through a meticulous analysis of 13 input features using the MRMR algorithm, we identified key variables that significantly influence base wine grades. Subsequently, we compared the efficacy of support vector machine (SVM) algorithms under three kernel functions for base wine grading classification. Additionally, we developed an enhanced particle swarm-support vector machine (IPSO-SVM) algorithm, which incorporates nonlinearly decreasing inertia weights to enhance global and local search capabilities. Evaluation metrics, including accuracy and F1-SCORE, were employed to assess the model's performance. Our experimental results demonstrate that IPSO-SVM significantly improves convergence speed and accuracy, achieving a classification accuracy of 98.31% on the test set with an F1-SCORE of 98.18%. Furthermore, experimental tests conducted at a prominent strong-flavored wine enterprise in China validated the model's effectiveness, revealing no significant difference in grading quality between model and manual Baijiu classification, with a mean error below 1%. This study presents a pioneering approach to digitize and standardize Baijiu classification processes, laying theoretical foundations for the development of intelligent Baijiu classification systems. © 2024 John Wiley & Sons Ltd.

关键词： Wine

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Dynamic Interaction Analysis of Coupled Axial-Torsional-Lateral Mechanical Vibrations in Rotary Drilling Systems

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Structural Durability & Health Monitoring 2025年第1期19卷 77-103页

作者： Sabrina Meddah Sid Ahmed Tadjer Abdelhakim Idir Kong Fah Tee Mohamed Zinelabidine Doghmane Madjid Kidouche Applied Automation Laboratory Faculty of Hydrocarbons and ChemistryUniversity of BoumerdesBoumerdes35000Algeria Institute of Electrical and Electronic Engineering(IGEE) University of BoumerdesBoumerdes35000Algeria Laboratory of the Electrification of Industrial Enterprises University of BoumerdesBoumerdes35000Algeria Electrical Engineering Department Mohamed Boudiaf University of M’silaM’sila28000Algeria Department of Civil and Environmental Engineering King Fahd University of Petroleum&MineralsDhahran31261Saudi Arabia Interdisciplinary Research Center for Construction and Building Materials King Fahd University of Petroleum&Minerals(KFUPM)Dhahran31261Saudi Arabia

Maintaining the integrity and longevity of structures is essential in many industries,such as aerospace,nuclear,and *** achieve the cost-effectiveness of large-scale systems in petroleum drilling,a strong emphasis on structural durability and monitoring is *** study focuses on the mechanical vibrations that occur in rotary drilling systems,which have a substantial impact on the structural integrity of drilling *** study speciﬁcally investigates axial,torsional,and lateral vibrations,which might lead to negative consequences such as bit-bounce,chaotic whirling,and high-frequency *** events not only hinder the efﬁciency of drilling but also lead to exhaustion and harm to the system’s components since they are difﬁcult to be detected and controlled in real *** study investigates the dynamic interactions of these vibrations,speciﬁcally in their high-frequency modes,usingﬁeld data obtained from measurement while ***ﬁndings have demonstrated the effect of strong coupling between the high-frequency modes of these vibrations on drilling sys-tem *** obtained results highlight the importance of considering the interconnected impacts of these vibrations when designing and implementing robust control ***,integrating these compo-nents can increase the durability of drill bits and drill strings,as well as improve the ability to monitor and detect ***,by exploiting theseﬁndings,the assessment of structural resilience in rotary drilling systems can be ***,the study demonstrates the capacity of structural health monitoring to improve the quality,dependability,and efﬁciency of rotary drilling systems in the petroleum industry.

关键词： Rotary drilling systems mechanical vibrations structural durability dynamic interaction analysis ﬁeld data analysis

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PID-Based Kalman Filter Controller Design Stick-Slip Vibrations Suppression in Drill String Systems

PID-Based Kalman Filter Controller Design Stick-Slip Vibrati...

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Electrical Engineering and Automatic Control (ICEEAC), International Conference on

作者： Zebboudj A. Hichem Akroum Hamza Doghmane Z. Mohamed Kidouche Madjid Department of Automation and Electrification of Processes Faculty of Hydrocarbons and Chemistry (FHC) Laboratory of Applied Automation (LAA) University M'hamed Bougara Boumerdes Algeria Institute of Electrical & Electronic Engineering University M'hamed Bougara Boumerdes Algeria OPE Exploration Division SONATRACH Hassi Messaoud Algeria

ISBN: (数字)9798350349740

ISBN: (纸本)9798350349757

Vibrations caused by stick-slip, which are common in rotary drilling systems, have a major effect on drilling efficiency. They also seriously damage equipment and lower hole quality. In order to precisely estimate the drilling tool velocity, we investigate the use of the Kalman filter in this study. The Kalman filter is a crucial tool for effective control strategies because it provides accurate velocity estimates by continuously monitoring system dynamics using sensor data. These approximations are easily incorporated into a PID (proportional-integral-derived) control system. The PID controller dynamically modifies drilling parameters, such as torque, based on state estimates in order to effectively counter stick-slip vibrations. Based on thorough simulations, our suggested method shows observable decreases in stick-slip vibrations, which translates into significant improvements in drilling effectiveness, decreased equipment wear, and improved hole quality. Furthermore, the controller's ability to adjust to different drilling conditions highlights how versatile it is as a workable solution in a range of drilling scenarios. This combination of robust control strategies and state estimation techniques offers a promising way to deal with stick-slip-induced problems in rotary drilling systems, which will ultimately lead to more dependable and efficient drilling operations.

关键词： Drilling Vibrations Accuracy Torque System dynamics System performance Control systems

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A hybrid GWO-PSO algorithm for global MPP tracking in PV systems under PSCs

A hybrid GWO-PSO algorithm for global MPP tracking in PV sys...

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Energy Transition and Security (ICETS), International Conference on

作者： Elhachemi Mammeri Ammar Necaibia Aimad Ahriche Ahmed Bouraiou Islam Hassani Dept. of Automation and Electrification Laboratory of Applied Automatic Boumerdes Algeria Unité de Recherche en Energie Renouvelables en Milieu Saharien URERMS – CDER Algeria Laboratoire de Développement Durable et Informatique University of Adrar Algeria

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