Browsing by Author "Zeraibi, Noureddine"

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Adaptive surrogate modeling with evolutionary algorithm for well placement optimization in fractured reservoirs
(Elsevier, 2019) Redouane, Kheireddine; Zeraibi, Noureddine; Nait Amar, Menad
Well placement optimization is a decisive task for the reliable design of field development plans. The use of optimization routines coupled to reservoir simulation models as an automatic tool is a popular practice, which could improve the decision-making process on well placement problems. However, despite the various automatic techniques developed, there is still a lack of robust computer-added optimization tool, which can solve the well placement problem with high accuracy in reasonable time while handling the technical constraints properly. In this paper, a hybrid intelligent system is proposed to deal with a real well placement problem with arbitrary well trajectories, complex model grids, and linear and nonlinear constraints. In this intelligent approach, a Genetic Algorithm (GA) combined with a hybrid constraint-handling strategy is applied in conjunction with a constrained space-filling sampling design, Gaussian Process (GP) surrogate model, and one proposed adaptive sampling routine. This self-adaptive framework allows to consecutively augment the quality of surrogate, enhance the accuracy of the process, and thus guide the optimization rapidly into the optimal solution. To demonstrate the efficiency of the developed method, a full-field reservoir case is considered. This case covers a real well placement project in a fractured unconventional reservoir of El Gassi, which is a mature field located in Hassi-Massoud, Algeria. The obtained results highlighted the effectiveness of the proposed approach for solving the real well placement problem with high accuracy in reasonable CPU-time. These auspicious features make it a reliable tool to be used on other real optimization projects
Bottom hole pressure estimation using hybridization neural networks and grey wolves optimization
(KeAi, 2018) Nait Amar, Menad; Zeraibi, Noureddine; Redouane, Kheireddine
An effective design and optimum production strategies of a well depend on the accurate prediction of its bottom hole pressure (BHP) which may be calculated or determined by several methods. However, it is not practical technically or economically to apply for a well test or to deploy a permanent pressure gauge in the bottom hole to predict the BHP. Consequently, several correlations and mechanistic models based on the known surface measurements have been developed. Unfortunately, all these tools (correlations & mechanistic models) are limited to some conditions and intervals of application. Therefore, establish a global model that ensures a large coverage of conditions with a reduced cost and high accuracy becomes a necessity. In this study, we propose new models for estimating bottom hole pressure of vertical wells with multiphase flow. First, Artificial Neural Network (ANN) based on back propagation training (BP-ANN) with 12 neurons in its hidden layer is established using trial and error. The next methods correspond to optimized or evolved neural networks (optimize the weights and thresholds of the neural networks) with Grey Wolves Optimization (GWO), and then its accuracy to reach the global optima is compared with 2 other naturally inspired algorithms which are the most used in the optimization field: Genetic Algorithm (GA) and Particle Swarms Optimization (PSO). The models were developed and tested using 100 field data collected from Algerian fields and covering a wide range of variables. The obtained results demonstrate the superiority of the hybridization ANN-GWO compared with the 2 other hybridizations or with the BP learning alone. Furthermore, the evolved neural networks with these global optimization algorithms are strongly shown to be highly effective to improve the performance of the neural networks to estimate flowing BHP over existing approaches and correlations
Chemical characterization of asphaltenes deposits from Hassi Messaoud field
(Elsevier, 2022) Behnous, Dounya; Bouhadda, Youcef; Moffatt, Brian; Zeraibi, Noureddine; Coutinho, João A.P.
The precipitation and deposition of asphaltenes are complex phenomena that reduce the efficiency in oil production operations. In this study, spectroscopic and thermal methods were used for the characterization of asphaltene samples extracted from deposits belonging to different locations in the Hassi Messaoud field. Structural parameters and the chemical structure of the studied asphaltenes were determined using 13C solid nuclear magnetic resonance (NMR), X-ray diffraction and Raman spectroscopy. The thermal behavior of the asphaltenes studied was examined using differential scanning calorimetry. The results obtained suggest that island is the predominent architecture for the asphaltenes studied with an average of 7 to 8 fused rings and aliphatic length chain of about 3–4 carbons. The number of aromatic sheets in a stacked cluster (N) is between 7 and 8 sheets. The aromatic sheet diameter of the four samples ranges from 12.18 to 15.52 Å with an average interlayer distance between aromatic sheets of 3.52 Å and an average interchain layer distance of 4.48 Å
Colloidal behavior of aqueous montmorillonite suspensions in the presence of non-ionic polymer
(2015) Gareche, Mourad; Azri, N.; Allal, A.; Zeraibi, Noureddine
In this paper we characterized at first, the rheological behavior of the bentonite suspensions and the aqueous solutions of polyethylene oxide (PEO), then we were investigated the influence of this polymer in a water-based drilling fluid model (6% of bentonite suspension). The objective is to exhibit how the non ionic polymer with molecular weight 6×103 g/mol. of varying concentration mass (0.7%, 1%, 2% et 3%) significantly alter the rheological properties (yield stress, viscosity, loss and elastic modulus) of the bentonite suspensions. The rheological measurements made in simple shear and in dynamic on the mixture (water-bentonite-PEO), showed rheological properties of bentonite suspensions both in the presence and absence of non-ionic polymer. The PEO presents an affinity for the bentonite particles slowing down their kinetic aggregation. The analysis by X-rays diffraction also allowed understanding the structure of this mixture. It had revealed the intercalation between of the clay platelets on one hand, and the links bridges assured by the chains of polymer between bentonite particles beyond a critical concentration in PEO on the other hand. The Herschel- Bulkley rheological model is used for the correlation of our experimental results
Effect of viscous dissipation on heat transfer between two concentric cylinders for carreau fluids
(2010) Amoura, M.; Zeraibi, Noureddine
An efficient methodology for multi-objective optimization of water alternating CO2 EOR process
(Elsevier, 2019) Nait Amar, Menad; Zeraibi, Noureddine
Etude comparative de modèles rhéologiques. Application au Carbopol 940
(2007) Amoura, M.; Zeraibi, Noureddine; Gareche, Mourad
La détermination des grandeurs rhéologiques d’un fluide non-Newtonien est fondamentale pour la réussite des études sur les écoulements de ce type de fluide. Dans ce travail, un modèle permettant de représenter correctement le comportement visqueux d’un matériau modèle non-Newtonien a été déterminé en faisant une étude comparative des différentes lois rhéologiques (Casson, Casson généralisé, Herschel-Bulkley)
Etude de la convection forcée d’un fluide non-Newtonien dans un espace annulaire tournant
(2007) Amoura, M.; Zeraibi, Noureddine; Gareche, Mourad
Nous proposons une étude numérique de la convection thermique des fluides non-newtoniens dans les espaces annulaires cylindriques tournants. Le modèle rhéologique retenu dans cette étude est le modèle de Carreau. Les équations de conservation sont résolues par une méthode d’éléments finis mixtes. On étudie l’influence du nombre de Reynolds et de l’indice de l’écoulement, sur le transfert de chaleur et sur la structure de l’écoulement. Les résultats obtenus en convection forcée sont discutés
Expérience d’exfoliation d’une bentonite par un polyéthylène oxyde en solution aqueuse
(2009) Gareche, Mourad; Allal, A.; Zeraibi, Noureddine
Cette étude porte sur le comportement rhéologique des boues de forage. Les formulations de ces fluides donnent des suspensions colloïdales complexes. Ces suspensions possèdent de nombreux composants interagissant entre eux. L’influence des interactions rend difficile la description des propriétés rhéologiques. Dans ce travail, nous avons étudié des suspensions simples de trois composants l’eau, la bentonite et un polymère. En théorie, les nanoparticules de bentonite devraient augmenter toutes propriétés physiques (viscosité, module) des mélanges. Malheureusement, la dispersion de ces plaquettes est problématique. Notre objectif, ici, est de déterminer les conditions physiques d’une exfoliation de la bentonite par un polymère (le Polyéthylène oxyde)
Finite element study of mixed convection for non-Newtonian fluid between two coaxial rotating cylinders
(2006) Amoura, Mourad; Zeraibi, Noureddine; Smati, A.; Gareche, Mourad
In this work, we present a numerical simulation of the flow characteristics and the heat transfer mechanism of a non-Newtonian fluid in an annular space between two coaxial rotating cylinders. The Carreau stress–strain relation was adopted to model the rheological fluid behaviour. The problem is studied when the heated inner cylinder rotates around the common axis with constant angular velocity and the cooled outer cylinder is at the rest. The horizontal endplates are assumed adiabatic. The governing equations are solved using mixed finite elements method. The effects of the different parameters on the heat transfer and on the flow are examined. These parameters are the Reynolds (Re), the Grashof (Gr) and the Weissenberg numbers (We), and the flow index (n). The results of the natural, forced and mixed convections are presented and discussed. © 2006 Elsevier Ltd. All rights reserved
Heat exchanges intensification through a flat plat solar collector by using nanofluids as working fluid
(2018) Maouassi, Ammar; Baghidja, Abdelhadi; Douad, Salima; Zeraibi, Noureddine
This paper illustrates how practical application of nanofluids as working fluid to enhance solar flat plate collector efficiency. A numerical investigation of laminar convective heat transfer flow throw a solar collector is conducted, by using CuO-water nanofluids. The effectiveness of these nanofluids is compared to conventional working fluid (water), wherein Reynolds number and nanoparticle volume concentration in the ranges of 25–900 and 0–10 % respectively. The effects of Reynolds number and nanoparticles concentration on the skin-friction and heat transfer coefficients are presented and discussed later in this paper. Results show that the heat transfer increases with increasing both nanoparticles concentration and Reynolds number, where nanofluid CuO-water gives best improvement in terms of heat transfer
Modeling asphaltene precipitation in Algerian oilfields with the CPA EoS
(Elsevier B.V., 2020) Behnous, Dounya; Palma, A; Zeraibi, Noureddine; Coutinho, João A.P.
One of the major flow assurance problems afflicting the oil industry is the asphaltene precipitation during the production, transportation and storage of oil. The precipitation of these heavy compounds is responsible for changes in crude oil properties, increases in oil viscosity, and formation of deposits that reduce oil production and disable equipment leading to significant operational costs. In Algeria, the deposition of asphaltene in reservoirs and pipelines is a severe problem. During production the depressurization of reservoir fluid and the variations of thermodynamic conditions create the need to frequently pig the lines and, in some cases, to inject solvents and dispersants to maintain the production. The understanding of the asphaltene behavior and the prediction of its deposition in flow conditions is crucial to implement appropriate strategies for the prevention or remediation, especially in the wellbore region. In this work we used the CPA EoS to describe the asphaltene phase envelope and predict the PT regions of stability for five Algerian live oils. The model provides a very good description of the experimental behavior of live oils without and with gas injection. The sensitivity to SARA analysis data and its effect on the asphaltene phase boundaries were also analyzed
Modeling temperature-based oil-water relative permeability by integrating advanced intelligent models with grey wolf optimization : application to thermal enhanced oil recovery processes
(Elsevier, 2019) Nait Amar, Menad; Zeraibi, Noureddine; Abdolhossein, Hemmati-Sarapardeh; Shahaboddin, Shamshirband
Modeling wax disappearance temperature using robust white-box machine learning
(Elsevier Ltd, 2024) Nait Amar, Menad; Zeraibi, Noureddine; Benamara, Chahrazed; Djema, Hakim; Saifi, Redha; Gareche, Mourad
Wax deposition is one of the major operational problems encountered in the upstream petroleum production system. The deposition of this undesirable scale can cause a variety of challenging problems. In order to avoid the latter, numerous parameters associated with the mechanism of wax deposition should be determined precisely. In this study, a new smart correlation was proposed for the accurate prediction of Wax disappearance temperature (WDT) using a robust explicit-based machine learning (ML) approach, namely gene expression programming (GEP). The correlation was developed using comprehensive experimental measurements. The obtained results revealed the promising degree of accuracy of the suggested GEP-based correlations. In this context, the newly-introduced correlations provided excellent statistical metrics (R2 = 0.9647 and AARD = 0.5963 %). Furthermore, performance of the developed correlation outperformed that of many existing approaches for predicting WDT. In addition, the trend analysis performed on the outcomes of the proposed GEP-based correlations divulged their physical validity and consistency. Lastly, the findings of this study provide a promising benefit, as the newly developed correlations can notably improve the adequate estimation of WDT, thus facilitating the simulation of wax deposition-related phenomena. In this context, the proposed correlations can supply the effective management of the production facilities and improvement of project economics since the provided correlation is a simple-to-use decision-making tool for production and chemical engineers engaged in the management of organic deposit-related issues.
Modélisation de la disponibilité d'une chaîne de GNL sur la base d'une approche bayésienne d'estimation des indices de fiabilité
(2003) Smati, A.; Younsi, K.; Zeraibi, Noureddine; Zemmour, N.
Les usines de gaz naturel liquéfié (GNL) se caractérisent par leur nombre relativement réduit dans le monde, la diversité des procédés technologiques utilisés ainsi que des coûts d'investissement et d'exploitation très élevés. L'autoconsommation de ce type d'unité est de l'ordre de 15 % et peut quasiment doubler dans le cas d'une fréquence importante des arrêts intempestifs ou volontaires dus aux pannes des équipements situés sur tout le parcours de la chaîne GNL. En conséquence, l'amélioration de la fiabilité de la chaîne dans sa globalité se traduirait objectivement par une réduction substantielle des coûts d'énergie. Pour le cas des systèmes réparables, on utilise le plus souvent la disponibilité comme indicateur de fiabilité. Dans cet article, la chaîne GNL est assimilée à un système complexe indissociable. Cependant, la modélisation des systèmes complexes, d'un point de vue fiabilité ou autre, est toujours délicate en raison principalement des dimensions astronomiques de l'espace de phase. Ainsi, une approche de type systémique est mise à profit pour ramener l'espace de phase à des dimensions gérables. Une représentation des sous-systèmes par diagrammes de fiabilité permet alors une estimation plus aisée des probabilités associées à chaque état. Enfin, une démarche bottom up autorise la reconstitution du modèle global de disponibilité de la chaîne GNL. En liaison avec la faiblesse manifeste caractérisant le retour d'expérience dans le domaine de la technologie du GNL, une approche d'estimation bayésienne des indices de fiabilité des différents équipements composant la chaîne est mise à profit. Un certain nombre de résultats de l'application de la méthodologie développée à la chaîne Hassi R'mel-Skikda sont fournis
Modélisation du module complexe de cisaillement des suspensions de bentonite = Modelling of complex shear modulus of bentonite suspensions
(Groupe français de rhéologie, Sophia Antipolis, FRANCE, 2009) Allal, A.; Gareche, Mourad; Dupin, J. C.; Roby, F.; Zeraibi, Noureddine
Dans ce travail, nous avons étudié le comportement rhéologique de suspensions de bentonite pour diverses concentrations massiques (2, 4, 5, 6 et 8 %). Nous nous sommes intéressés plus particulièrement à la viscoélasticité linéaire, avec pour objectif de faire le lien entre la structure fractale des ces suspensions et le module de cisaillement complexe. A partir de la dimension fractale des gels formés par les particules d'argile en interaction dans les suspensions de bentonite, nous avons modélisé la variation de leurs modules complexes de cisaillement en fonction de la fréquence
Numerical study of a thermodependent non-Newtonian fluid flow between vertical concentric cylinders
(Elsevier, 2007) Zeraibi, Noureddine; Amoura, M.; Benzaou, A.; Gareche, Mourad
In this paper, we present a numerical investigation of the thermal convection for a thermodependent non-Newtonian fluid in an annular space between two coaxial rotating cylinders. The rheological behaviour of the fluid can be expressed through the Ostwald-De-Waele power law: View the MathML sourceτ=Kγ˙n; all fluid properties except consistency index K are constant. K–T relation used is K = K0e−bT. The problem is studied when the heated inner cylinder is rotating around the common axis with constant angular velocity and the cooled outer cylinder is at the rest. The horizontal endplates are assumed adiabatic. The governing equations are solved using mixed finite elements method. The influence of the temperature on the structure of the dynamic and thermal fields is examined
Numerical study of nanofluid heat transfer SiO2 through a solar flat plate collector
(International Information and Engineering Technology Association, 2017) Maouassi, Ammar; Baghidja, Abdelhadi; Daoud, Said; Zeraibi, Noureddine
This paper illustrates how practical application of nanoparticles (SiO2) as working fluid to stimulate solar flat plate collector efficiency with heat transfer modification properties. A numerical study of nanofluids laminar forced convection, permanent and stationary (SiO2), is conducted in a solar flat plate collector. The effectiveness of these nanofluids are compared to conventional working fluid (water), wherein the dynamic and thermal properties are evaluated for four volume concentrations of nanoparticles (1%, 3%, 5% and 10%), and this done for Reynolds number from 25 to 900. Results from the application of those nonfluids are obtained versus average temperature; pressure drop coefficient and Nusselt number are discussed later in this paper. Finally, we concluded that heat transfer increases with increasing both nanoparticles concentration and Reynolds number
Numerical study of natural melt convection in cylindrical cavity with hot walls and cold bottom sink
(2013) Ahmanache, Abdennacer; Zeraibi, Noureddine
Numerical study of natural convection heat transfer and fluid flow in cylindrical cavity with hot walls and cold sink is conducted. Calculations are performed in terms of the cavity aspect ratio, the heat exchanger length, and the thermo physical properties expressed via the Prandtl and the Rayleigh numbers. Results are presented in the form of isotherms, streamlines, average Nusselt number, and average bulk temperature for a range of Rayleigh number up to 106. It is observed that Rayleigh number and heat exchanger length influences fluid flow and heat transfer, whereas the cavity aspect ratio has no significant effects
Optimisation du réseau algérien de transport de brut et de condensat = optimization of the algerian crude and condensate network
(2000) Smati, A.; Zeraibi, Noureddine; Touabti, M. C.
Le diagnostic et l'extension optimale du réseau algérien de transport de brut et de condensat, en liaison avec l'intensification des rythmes de production, nécessitent la mise au point de procédures systémiques de modélisation. Dans ce contexte, le pompage par batch est représenté par des bi-flots. L'arsenal de la théorie des graphes et le problème du flot maximal, associé à un modèle de fiabilité, sont ensuite mis à contribution. Le modèle global peut alors être utilisé comme stand d'expérimentation où l'impact de chaque décision ou événement est dégagé par simulation. Cependant, en raison de la non-linéarité des coûts, l'extension optimale du réseau est soumise à la résolution d'un modèle de programmation non linéaire