Publications Scientifiques

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Author: search.filters.author.Doghmane, Mohamed ZinelabidineSubject: search.filters.subject.Modeling

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    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.
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    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
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    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