Browsing by Author "Doghmane, Mohamed Zinelabidine"

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Abnormal tissus extraction in MRI brain medical images
(IEEE, 2011) Cherifi, Dalila; Doghmane, Mohamed Zinelabidine; Nait-Ali, A.; Aici, Zakia; Bouzelha, Salim
This study is a comparison between two image segmentation's methods; the first method is based on normal brain's tissue recognition then tumor extraction using thresholding method. The second method is classification based on EM segmentation which is used for both brain recognition and tumor extraction. The goal of these methods is to detect, segment, extract, classify and measure properties of the brain normal and abnormal (tumor) tissues
Analyze and modelingofdamage behavior of a C0.12%Mn1.02%Si0.29% HLE steel solicited in selected physicochemical medium
(Mohammed Premier University, 2015) Belahcene, B.; Benmoussat, A.; Mansri, A.; Doghmane, Mohamed Zinelabidine
The influence of environment and physical parameters on C0.12%Mn1.02%Si0.29% HLE steel steel corrosion damage behaviour in NaCl solutions was studied using weight loss, pH evolution at 300k to 370k, electro-exchanges, and passivity. Herein, the results show that the corrosion rate changes versus type of thermal treatment and cooling fluid, solution concentration, shape, size and cooling speed of the samples. The resolution of Nernst equation proves that the increase in temperature has a direct effect on hydrogen potential of the solution, current and corrosion potential of the metal. Moreover, the inhibition efficiency was determined by theoretical calculation using mechanical molecular and semi-empirical method. These results guided us to conclude that the inhibitor, which has low electronegativity than C0.12%Mn1.02%Si0.29% Steel has good efficiency
Application of Improved Artificial Neural Network Algorithm in Hydrocarbons’ Reservoir Evaluation: Artificial Intelligence in Renewable Energetic Systems
(2019) Doghmane, Mohamed Zinelabidine; Belahcene, Brahim; Kidouche, M.
The aim of this work is to develop an artificial neural network software tool in Matlab which allows the well logging interpreter to evaluate hydrocarbons reservoirs by classification of its existing facies into six types (clay, anhydrite, dolomite, limestone, sandstone and salt), the advantage of such classification is that it is automatic and gives more precision in comparison to manual recognition using industrial software. The developed algorithm is applied to eleven wells data of the Algerian Sahara where necessary curves (Gama Ray, density curve Rhob, Neutron porosity curve Nphi, Sonic curve dt, photoelectric factor curve PE) for realization of this technique are available. A graphical user interface is developed in order to simplify the use of the algorithm for interpreters
Automatic control of a heat exchanger in a nuclear power station: The classical and the fuzzy methods
(IEEE, 2019) Mendil, Chafiaa; Kidouche, M.; Doghmane, Mohamed Zinelabidine
Without electricity everyday life would be difficult to be envisaged, it is therefore necessary to know how to produce it effectively and continuously. To meet the growing consumption of electricity, it was crucial to build factories capable of producing electricity with huge capacities. In recent years, nuclear techniques have undergone considerable development, characterized by the implementation of multiple disciplines. Wherein, automation has taken an important part of these developments. Driving the industrial equipment in safety mode, treating the information with many variables and actions' adjustment, can be ensured by analogical/digital automatic systems. This paper highlights control techniques of heat exchanger in a nuclear power station with disturbance compensation systems. Moreover, the fuzzy technique has been proposed to derive the control system. The main objective of this manuscript is to determine a prototype control model for an intelligent heat exchanger in a nuclear power reactor. Experimental data of BRENILLIS power plant has been used for the identification and modeling of the reactor. Furthermore, the transfer functions developed by the C.S.F and “Electricité de France” have been considered for the purpose of automating the nuclear power station
Classification of ordovician tight reservoir facies in Algeria by using Neuro-Fuzzy algorithm
(Springer, 2022) Doghmane, Mohamed Zinelabidine; Ouadfeul, Sid-Ali; Benaissa, Z.; Eladj, S.
The Tight reservoirs in Algeria are generally characterized by their complex nature and their degree of heterogeneity. Wherein, the quantitative evaluation of such type of reservoirs necessitate the determination of facies in order to estimate the in-situ hydrocarbons and their nature. However, the classical methods of determining facies are essentially based on core data and carrots, which are not always technically available. Artificial neural network (ANN) is one of the recent developed methods being used to provide facies classification with a minimum available core data and by using well logs. Even though, the ANN results are acceptable, it determines only the dominant facies at each depth point off logs, no information can be provided for the secondary facies. For that reason, the main objective of this study is to develop a Neuro-fuzzy algorithm that allows the determination of secondary facies in addition to dominant facies. Indeed, the algorithm has been trained by using core data at wells’ scale in the Ordovician reservoir located in an Algerian southern Petroleum field. Moreover, the Neuro-fuzzy classifier has been tested in near wells, for which, the obtained results has demonstrated the effectiveness of the proposed approach to improve tight reservoir characterization in the studied field. Hence, the designed algorithm is highly recommended for other petroleum systems in Middle East and North Africa region
Conception de commande décentralisée des systèmes complexes en utilisant les stratégies de décomposition et optimisation par BMI
(2019) Doghmane, Mohamed Zinelabidine
La commande est l'un des sujets qui attirent de nombreux chercheurs au cours des dernières décennies. La croissance rapide de l'industrie conduit à des systèmes industriels à grande échelle, donc, à des contrôleurs de grande dimension. La conception et la mise en œuvre de tels contrôleurs avec robustesse est un défi difficile dans l'industrie des systèmes à grande échelle, de nombreux chercheurs ont discuté le développement des stratégies de décomposition pour surmonter ce défi. Dans cette thèse une nouvelle approche de la stratégie de décomposition par recouvrement est proposée afin de concevoir un contrôleur semi-décentralisé pour différents systèmes à grande échelle avec des modèles mathématiques similaires. En outre, l'efficacité de l'approche est démontrée par différents exemples de ces systèmes tels que système d’enroulement de bande de trois / cinq moteurs, systèmes d'impression multi-étages ... etc. Une comparaison entre la robustesse des contrôleurs avec et sans stratégie de décomposition a été citée à la fin de cette thèse
Decentralized controller robustness improvement using longitudinal overlapping decomposition : application to web winding system
(2018) Doghmane, Mohamed Zinelabidine; Kidouche, Madjid
Decentralized overlapping control design with application to rotary drilling system
(2021) Doghmane, Mohamed Zinelabidine; Kidouche, M.; Ahriche, A.
The main objective of this paper is the development of overlapping decomposition strategy for con-troller design of rotary drilling systems based on the state feedback technique. The lamped modelof the system has been considered, Graph-based representation has been used to rearrange thestates of the model, and then a new model has been decomposed into subsystems after analyzingthe interconnection terms. The expansion–contraction principle, combined with Lyapunov theory,is used to investigate the global stability of the decomposed system so that controllability of thedesigned controller is guaranteed and its robustness is improved. Moreover, the designed strategyhas been validated with high-frequency mode stick-slip vibrations data measured in an operationalrotary drilling system of an exploration well drilled in an Algerian hydrocarbon field
Decomposition Strategies for the Dynamic Design and Control Optimization of Large Scale Systems
(2014) Doghmane, Mohamed Zinelabidine
Design of optimal decentralized controller using overlapping decomposition for smart building system
(Springer, 2020) Doghmane, Mohamed Zinelabidine; Kidouche, Madjid; Eladj, S.; Belahcene, B.
Many industrial systems are known to have complex structure with large dimension variables. For such type of complexities, it is generally preferable to evade the design of centralized controller because of dimensionality augmentation in the step of implementation. Many research studies have been focused on designing decentralized controller for large scale systems. The aim of this paper is not just designing high dimension decentralized controller but also increase the robustness and improve systems’ performance, the optimality of these systems has been considered and discussed in the frame work of mathematical development of inclusion-contraction principle and overlapping decomposition. Furthermore, the proposed control strategy has been applied to a smart building system in order to minimize the damage caused by earthquake; the obtained results allow us to conclude that the proposed control strategy can be so useful for constructing smart cities
An experimental validation on mechanical damages caused by air cannon projectile
(Springer, 2020) Chenine, Mossaab; Benammar, Samir; Doghmane, Mohamed Zinelabidine
The main objective of this paper is to study the damages caused by mechanical shocks for different materials and compare between the expiremental and simulation results. The study is based on series of experiments conducted on test bench that has been modified to comply with the experiments. Wherein, many equipment have been designed and manufactured in the laboratory. The shocks are created by Air Canon with different pressure values. The obtained results have provided a conclusive remarks about the shape and dimension of the damages with consideration of the material, speed, and angle of the shock
Fuzzy clustering algorithm for Lithofacies classification of Ordovician unconventional Tight-sand reservoir from well-logs data (Algerian Sahara)
(2019) Cherana, Amina; Aliouane, Leila; Doghmane, Mohamed Zinelabidine; Ouadfeul, Sid-Ali
In this paper we present an approach based on a fuzzy clustering algorithm applied for lithofacies classification in an unconventional tight-sand reservoir from well-logs data. In some cases, these kinds of reservoirs are ra-dioactive due to the presence of non clayey radioactive minerals. However, conventional methods can give bad results. For that, artificial intelligence such as Fuzzy logic, can be suitable to solve the problem. Fuzzy clustering is an unsupervised machine learning technique where a given set of data is classified into groups. Hence, fuzzy logic is a more general logic then classical logic because it does not ignore uncertainties and accepts the implicit consideration of the inherited error associated with any physical measurement. This techniquet has been applied to real data of one well in an unconventional tight-sand reservoir in the Algerian Sahara. Predicted results are compared to lithofacies obtained from conventional methods and spectral mineralogical well-logs data Keywords: Well-log, Unconventional Tight reservoir, Lithofacies, Fuzzy logic, Clustering
Geological Description and Modeling of Djebel Kerdada in Saharan Atlas–Bou Saada, Algeria
(Springer Nature, 2023) Belahcene, Brahim; Doghmane, Mohamed Zinelabidine; Eladj, Said
This paper presents stratigraphic and structural descriptions of Djebel Kerdada in the studied areas of Bou Saada in Algeria. The choice of Djebel Kerdada is due to its geological complexity that can provide more detailed information about the regional geology of the area located at the northern limit of the African plate. This region belongs, geologically, to the Saharan Atlas, which is limited by flexures caused by slow dislocations, transgression, alternations, and regressions. The marginal basin in western Mediterranean Sea was generated by an N-NW subduction of the African and Adriatic plates under the European plate. The geological structures created by the subduction are near the city of Bou Saada, which is located 234 km South-East of Algiers. Based on the results of field investigation internship, it has been confirmed that, due to the compressive tectonic phenomenon caused by the sliding of the African plate under the Euro-Asian plate, many geological structures have a N-E/ S-W direction. Thus, this field study allowed us to limit the different litho-stratigraphic series that appeared in the form of outcrops, fossils, measurement of dips, and all structural faults. Moreover, a static modeling of the geological structure, namely Djebel Kerdada, was established based on the isopath maps of the region and data obtained from the internship. In addition to the limits of the litho-stratigraphic series, the results demonstrated the paths of the hydro-geodynamic forces toward the river of Bou Saada.
Hybrid adaptive Backstepping-Sliding mode control design for Non-linear Under-Actuated systems
(Springer, 2022) Doghmane, Mohamed Zinelabidine; Kidouche, Madjid; Riache, Samah; Aibeche, Abderrazak
This paper focuses on studying the inverted pendulum as a case study of under-actuated systems, which has two degrees of freedom and a single actuator. The Lagrangian dynamic model of the system is non-linear and its internal dynamic is not asymptotically stable. The control of this system has been the subject to many studies because the dynamics of the inverted pendulum is closer to those of more complex systems. Besides, this mechanism is a low cost tool for implementation and practical illustration of new control approaches. For the stabilization of the system, it is first necessarily to bring the pendulum from its equilibrium stable position (pendulum pointing downwards) to its unstable equilibrium position. In this study, different control approaches were applied to the system such as sliding mode control, Backstepping method, and their combination. These studied techniques are very implementable for under-actuated systems, where their algorithms are designed with an appropriate choice of parameters. Moreover, the obtained results are very interesting; they show the effectiveness of the proposed hybrid approach in improving the performances, namely, the controller robustness and convergence stability. The hybrid control system has been designed for both stabilization and external disturbances rejection. Hence, the main contribution of this study is the hybridization of adaptive backstepping approach with sliding mode control for under-actuated systems
Hybrid sliding PID controller for torsional vibrations mitigation in rotary drilling systems
(Institute of Advanced Engineering and Science, 2021) Mendil, Chafiaa; Kidouche, Madjid; Doghmane, Mohamed Zinelabidine
During the drilling process, the drilling system devices can be exposed to several types of phenomena incited by lateral, axial, and torsional vibrations. The latter can lead to severe damages if they are not efficiently controlled and quickly mitigated. This research work is focused on the torsional vibrations, which are stimulated by the nonlinear dynamical interaction between the geological rocks and the drill bit. Wherein, a model with three degrees of freedom was designed to demonstrate the severity of the stick-slip phenomenon as consequence of torsional vibrations. The main objective of this study was to design a robust controller based on hybridizing a conventional PID controller with sliding mode approach in order to mitigate rapidly the torsional vibrations. Moreover, a comparative study between PI, PID and sliding mode controllers allowed us to emphasize the effectiveness of the new hybrid controller and improve the drilling system performances. Furthermore, the chattering phenomenon in the sliding surface was overcome by using the saturation function rather than the sign function. The obtained results proved the usefulness of the proposed controller in suppressing the stick-slip phenomenon for smart industrial drilling systems
Identification and modeling of a rotary kiln in cement plant based on ANN (MLP)
(Springer, 2022) Doghmane, Mohamed Zinelabidine; Kidouche, Madjid; Eladj, S.; Ouali, A.
The objective of this study is to identify and model a rotary cement kiln based on production history data by using an artificial neural network MLP algorithm. The usefulness of this algorithm is that it provides a reliable empirical relation between the inputs parameters (Flow, Temperature, and pressure) and the outputs, which indicate the cement quality. Where, the most critical process in a cement production facility is cooking the mixed raw material in a rotary kiln; its task is to gradually burn and bakes a suitable mixture of input material to produce clinker. Therefore, the rotary kiln is the most important part in a cement factory. From another side, the control of a cement kiln is a complex process due to many factors namely: The Non linearity of the system caused by the chemical reactions, its dynamic and high dimensionality. Therefore, identification, modelling, prediction and simulation of Kiln system is very crucial step in managing and optimizing the cement production. Since the ANN has demonstrated its effectiveness in identifying a large class of complex nonlinear systems, it has been proposed in this case study to model cement Kiln of plant based on Multi-Layer Perceptron (MLP) approach. The MLP algorithm has been trained by using history data of twenty four months, and it has been tested and validated through comparison with production data of the next six months after the training. The obtained results have demonstrated the superiority of the proposed ANN approach over the conventional modelling approaches
Investigation on corrosion behaviour of steel HLE under the Effect of Hazardous component CO2%
(2015) Belahcene, Brahim; Doghmane, Mohamed Zinelabidine; Sadek, Kaddour
Lithological Characterization by Simultaneous Seismic Inversion in Algerian South Eastern Field
(Engineering, Technology & Applied Science Research (ETASR), 2020) Eladj, S.; Lounissi, T. K.; Doghmane, Mohamed Zinelabidine; Djeddi, M.
The main goal of this paper is to characterize a reservoir situated in the southeast of Algeria based on AVO seismic inversion. The seismic inversion model has been built by the iterative method of Aki and Richards’s approximation and it has been correlated with four-existing wells in the studied zone. The correlation rate between the inversion model and logging data is good (varying from 72% to 85%). Reservoir characterization of this field has been given in detail. The lithological description is used to construct a Geomechanical model that is useful for new wells’ drilling decisions. The high correlated results allowed us to have a vision on the horizontal variation of Petrophysical parameters such as density and lithological variation of three facies clay, tight limestone, and porous limestone. Moreover, this classification is used in the best way to determine the interesting zone with higher porosity values, so that the exploration strategy becomes more efficient with minimized uncertainties. Therefore, it is highly recommended to use the constructed model to propose new wells as well-5 in this study
Modeling of hydrocarbons rotary drilling systems under torsional vibrations : a survey
(Springer, 2020) Mendil, Chafiaa; Kidouche, Madjid; Doghmane, Mohamed Zinelabidine
Modeling of vibrations dynamic during drilling hydrocarbons wells is one of the main challenge facing drillers. Indeed, in order to design controllers that can eliminate or at least minimize such phenomenon, it is mandatory to know with some degrees of certain how the bit faces these vibrations. In literature, there are many models that have been designed to represent the drill string behaviour under torsional vibrations since they are the most harmful ones. It has been proven that stick-slip phase generated by the torsional vibrations is the generator of other types of phenomena (i.e. Bit bounce and whirling). The main objective of this study is to review all the models and compare them in order to set the advantages and drawback of each of them. Moreover, this comparison has allowed us to determine which model to use for designing robust controllers for mitigating the torsional vibrations, thus, diminish all of its effects and the other type of vibrations. The obtained results have supported and demonstrated the conclusive comparative study
Modeling of Torsional Vibrations Dynamic in Drill-String by Using PI-Observer
(Springer, 2021) Riane, Rami; Kidouche, M.; Doghmane, Mohamed Zinelabidine; Illoul, R.
Torsional vibrations, appeared in drill string of oil well, are one of the major cause of drilling failures, in most of cases the penetration rate reduction and drilling costs expansion. The driller’s intervention is basically based on parameters manipulation to mitigate torsional vibrations, precisely variation of the angular velocity of the Top drive. The weight on bit variation is also proven to be practically effective in the reduction of such vibration but with a considerable time delay. In this paper, we modeled the nonlinear dynamic of the down hole using a PI Observer, thus, we estimate the downhole angular speed and perceive the torsional vibrations as soon as they appear so that the time delay is minimized. The obtained model is useful to design robust controller to mitigate the torsional vibrations in real-time.