Communications Internationales

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Author: search.filters.author.Doghmane, Mohamed Zinelabidine

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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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    Study of Pore Level Influences on Reservoir Quality Based on Rock Typing: Case Study of Quartzite El Hamra, Algeria
    (Springer Nature, 2024) Nettari, Ferhat; Doghmane, Mohamed Zinelabidine; Aliouane, Leila; Ouadfeul, Sid-Ali
    One of the biggest challenges facing Geoscientists and reservoir modelers is how to improve the descriptive understanding of the hydrocarbons reservoir, and therefore, define the best representative reservoir properties (e.g., fluid flow capacity) in the simulation model, whereas poorly described reservoir characteristics can lead to a significant impact on reservoir performance predictions and its future production behaviors. In order to master the Quartzite El Hamra reservoir in Southern part of Hassi Messaoud field in Algeria, this study was dedicated to characterize the petrophysical properties by using rock typing and flow unit techniques (Winland R35 and FZI). The main objective was to evaluate the pore level’s influences on reservoir quality and log response and to study the relationships between the composition of pore geometry and reservoir quality. This allowed us to understand the factors that control the quality of the reservoir and the fluids’ flow characteristics. Moreover, this study was based on detailed description and laboratory tests on cores and thin sections and the integration of this information with geological, Petrophysical, and engineering data. Furthermore, appropriate set of reservoir properties (i.e., porosity—permeability ratio, R35, storage percentage, and percent flow) are well defined for six identified Hydraulic Flow Units (HFUs). The obtained results can improve reservoir simulation studies for performance prediction, history matching, and future development decisions in the field.
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    Pre-stack Seismic Inversion for Potential Reservoirs’ Characterization in Oued Mya Basin, Algeria
    (Springer Nature, 2024) Eladj, Said; Benabid, MounaKeltoum; Doghmane, Mohamed Zinelabidine
    The main objective of this study is to characterize the potential reservoirs situated in Oued Mya basin in Algeria by using pre-stack seismic inversion data. In fact, rock physics has been used to estimate shear waves and their densities from the compressional wave velocities at six wells, and then, cross-plots were exploited to establish a mathematical relation between the petrophysical and acoustic parameters of the rocks. After that, the lithological classification has been iteratively generalized for the whole seismic volume. The final model, obtained with a correlation ratio of 75%, allowed the classification of the dominant facies in the reservoir. Furthermore, the Petrophysical volumes obtained using these mathematical relations provided the horizontal distribution of the different existing reservoirs with a focus on the potential ones. The obtained results in this case study have highlighted the crucial role played by the seismic inversion in the characterization of the oil reservoirs in the Oued Mya Basin. It also permitted to provide lateral variations of petrophysical parameters of the reservoir; thus, it eliminates the problem of punctuality of the information provided by logging data. This characterization step is very important for determining the positions of new exploration drillings in order to optimize exploration strategy with minimal uncertainties; therefore, exploration costs can be optimized. The main novelty of this paper is that the obtained model was very reliable and its correlations with six wells in the basin were high; hence, it has been used to characterize the reservoirs and to identify new areas with hydrocarbons potentials where highly probable discoveries were identified.
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    A Practical Seismic Attributes’ Workflow for Natural Fractures’ Characterization of Tight Reservoirs in Algeria
    (Springer Nature, 2024) Bacetti, Abdelmoumen; Doghmane, Mohamed Zinelabidine; Eladj, Said
    In this paper, a new workflow of geometrical seismic attributes for a structural geological study has been proposed. The small faults with low throw were detected, and the natural fractures’ model has been obtained for tight reservoirs. The fractures model has been correlated with imagery data taken from exploration wells in the studied field. The proposed attributes allowed us to map major faults with a throw less than the seismic resolution, and the curvatures have also been used to map subtler folds and flexures and overlying other formations. The geometrical seismic attributes used are: Curvature, Variance, Chaos, Structural smoothing, Edge enhancement, and Ant tracking. Moreover, the effectiveness of the proposed methodology has been demonstrated through the case study of Ain Amenas tight reservoir. The obtained results have been compared to conventional seismic interpretation results, for which it was demonstrated the existence of small faults that cannot be seen by the old methodology. Therefore, the constructed fracture model has been correlated and matched to the results of imagery interpretation of data taken from wells in the field. Finally, a relationship between fracture density and the attributes has been proposed in order to be considered for reservoir model construction in the production phase. This workflow can be useful in the optimization strategy of exploration costs of hydrocarbon resources of oil and gas national companies. The main novelty of this study is that it provides a practical workflow tool for continuous fracture modeling (CFM) and its successful application to several projects.
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    Petrophysical Parameters Curves’ Calculation for Non-conventional Reservoirs’ Modeling and Characterization
    (Springer Nature, 2024) Doghmane, Mohamed Zinelabidine; Ouabed, Noureddine; Eladj, Said
    The quantitative petroleum reservoir analyses’ topic is one of the biggest challenges facing geo-modelers. The difficulty lies in the fact that the constructed model depends on many empirical Archie’s law parameters such as tortuosity factor (a), cementation exponent (m), and saturation exponent (n). The most used methodology of choosing the appropriate set values of (a, m, n) is the trial/error technique. The parameters values’ sets are calculated empirically based on core data taken from different wells. The main drawback of this method is that these petrophysical parameters are not constant all over the reservoir section and are very variant in non-conventional reservoirs. The objective of this study is to provide curves of the petrophysical parameters (a, m, n) from petrophysical logs based on new equations. The new equations are based on relating tortuosity as a function of the sonic log and other basic logging curves (Gamma Ray, Neutron-density). Then, the calculated curves are used in constructing a more accurate non-conventional reservoir model. The obtained results have been compared to the conventional interpretation where a, m, and n are taken constants for all reservoir sections. Moreover, the obtained results are validated through core data and MDT tests in Algerian Southern non-conventional reservoirs.
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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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    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
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    Segmentation and extraction of GBM tumor in brain MRI medical images : comparative study
    (Springer, 2022) Doghmane, Mohamed Zinelabidine; Driss, M.; Eladj, S.
    In this study, a comparison between two image segmentation methods has been discussed; the first method is based on normal brain's tissue recognition then tumor extraction using Thresholding method. The second method is classification based on fuzzy EM segmentation, which is used for both brain recognition and tumor extraction. Medical image examinations often use more information that are acquired from multiple imaging modalities, this use is increasing due to the complementary information that can be obtained from data fusion. The later improves the quality of the diagnosis; for instance, the image fusion can be developed for data from different modalities or different individuals, it may also concern fusion of image data with an external model, this can express prior knowledge about the problem at hand. The image data used in this comparative study belong to Algerian patients with Glioblastoma multiform. Since the goal of these methods is to detect, segment, extract, classify and measure properties of the brain normal and abnormal (tumor) tissues, the results of comparative study provided a guide tool of which method is more accurate in term of GBM volume estimation for the studied samples of the patients
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    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
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    Weight-On-Bit variations analyses in the drillstring of rotary drilling systems under Stick-Slip vibrations
    (Springer, 2022) Kessai, Idir; Doghmane, Mohamed Zinelabidine; Benammar, Samir
    In this article, the main objective is to study the influences of weight-on-bit variation on the severity of stick-slip vibrations that appear in the toolstring of the rotary drilling systems. These types of vibrations can be very harmful to the equipment if not detected in real time and mitigated soon after. The only solution that is adopted in Algerian petroleum industry is the manipulation of drilling parameters, namely weight-on-bit and top drive torque. Where, the drillers as soon as they detect the appearance of such vibrations through abnormal decrease of rate of penetration (ROP) and the increase of the torque, they generally decrease the weight on bit and increase the torque of the top drive by increasing the angular velocity so that the vibrations will disappear and ROP will be maintained. However, the influences of the fast variation of these parameters (either increasing or decreasing) have not been previously studied. For that reason, the simulations conducted in this study are designed with different scenarios in order to analyze these effects for the severity of the stick-slip vibrations. Moreover, the importance of the analysis is that it allowed us to determine at what rate the Wob and Torque should be varied without creating sever vibrations that may damage the toolstring equipment. Therefore, it is highly recommended to consider the results of this study in suppressing the stick-slip vibrations