Publications Scientifiques
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Item Vertical electrical sounding data inversion using continuous ant colony optimization algorithm: A case study from Hassi R’Mel, Algeria(2022) Bouchaoui, Lyes; Ferahtia, Jalal; Farfour, Mohammed; Djarfour, NouredineAmong the existing geophysical methods, the vertical electrical sounding remains a fast and economical way to detect groundwater resources. However, the interpretation of the vertical electrical sounding data often suffers from non-uniqueness due to the ill-posed nature of the inverse problem. In recent years, metaheuristic algorithms have been successfully used for solving ill-conditioned and ill-posed problems. This work presents a scheme that uses the continuous ant colony optimization (ACOR) technique to invert vertical electrical sounding data. The ACOR is a global search algorithm that explores and finds the globally optimal solution over a search space by mimicking the behaviour of biological ants. The development of this algorithm was due to the requirement to interpret a set of vertical electrical sounding collected at the region of Hassi R’Mel (Algerian Sahara). The area has a particular eological/geoelectrical structure, which renders the interpretation of vertical electrical sounding challenging as standard inversion approaches tend to fail to recover a reliable resistivity model. The ACOR algorithm was initially tested with synthetic data from models simulating the geological/hydrogeological structure of the studied area. The results verified the robustness and stability of the ACOR algorithm even in the presence of a high level of noise. Furthermore, the tests indicated that the ACOR algorithm performed better when compared to other inversion techniques for this particular geoelectrical structure. Five vertical electrical sounding profiles using a Schlumberger array collected in the region of Hassi R’Mel were inverted using the ACOR algorithm. The models confirmed the presence of the two central aquifer systems and showed the geometry of the aquifer with the most favourable conditions for water accumulations.Item Petrophysical Characterization of Lower Triassic Formation of Southern Hassi R’Mel and Permeability Prediction with Fuzzy Logic Analysis. Algeria(Faculty of Hydrocarbons and Chemistry, 2019) Baouche, RafikCharacterization of the shaly sand reservoirs by flow units is a practical way of reservoir zonation. This work represents a petrophysical-based method that uses well loggings and core plug data to delineate flow units within the most productive shaly sand reservoir of Triassic Formation in Hassi R’Mel field of Algeria. In the study of oil reservoirs, the prediction of absolute permeability is a fundamental key in reservoir descriptions and has a direct impact on, amongst others, effective completion designs, successful water injection programs and more efficient reservoir management. Usually simple linear regressions of core porosity and permeability data or empirical relationships using various log responses (e.g. porosity, clay volume and water saturation) have been used to predict permeability. These empirical methods only apply locally and ignore the fact that there is no theoretical basis for a relationship between porosity and permeability. The Triassic Formations of Hassi R’Mel fields are composed of sandstones and shaley sandy with dolomite. The general geologic framework obtained from the logs point out for discriminations within the formation. The plots correlating petrophysical parameters and the frequency histograms suggest the presence of distinctive reservoir trends. Triassic Formation is composed of sandy shales, dolomites and evaporates. Logs from the 8 wells are the starting point for the reservoir characterization. The permeability models are constructed and their reliabilities are compared by the regression coefficients for predictions in un-cored sections. This indicates the presence of several “hydraulic flow units” (HFU) of similar petrophysical characteristics. Analysis of core data from the Hassi R’Mel East (HRE) Field in Algeria indicates such a scenario. The predicted permeabilities for each unit show good correlations with the calculated ones from core plugs. Highly reliable future estimations can be based on the derived methods.Item Prediction of the annual performance and perspective of Hassi R’Mel solar power plant SPP1(2012) Behar, Omar; Khellaf, Abdallah; Mohammedi, KamalItem Facies analysis of triassic formations of the Hassi R’Mel in southern algeria using well logs : recognition of paleosols using log analysis(2009) Baouche, Rafik; Nedjari, A.; El Aadj, S.; Chaouchi, RabahWell logs are essential in the study of geological formations, in terms of taking into account the nature and the structure of the formations, as well as the sedimentary processes. Qualitative and quantitative interpretations of well logs respond to a sedimentologic need as well as the establishment of lithological columns, according to the response to logging tools. In this study, electrofacies have been defined by manual well-log analysis of ten surveys of Triassic formations in the Hassi R'Mel area of Algeria. The data thus obtained were then matched with sedimentary facies defined by core analysis. The results obtained during the facies analysis made it possible to define ten electrofacies (sands, shale, dolomite, and evaporite, as well as the presence of andesite and clay). The model obtained by the Petrolog software was also developed and tested on other wells. A semi-automatic data processing was then carried out on seven other wells.Our aim is to highlight the added value of this integrated regional-scale to reservoir-scale approach in identifying nearfield exploration potential and additional recovery opportunities in producing reservoirs. Based on this aim, we emphasise the following points using our facies modelling: (1) improved definition of deposition within and between reservoirs, (2) development of regionally sedimentological models for reservoir intervals (the Hassi R’Mel Formations), and (3) recognition of paleosols from well log analysis and controls on reservoir architecture and their links to the Triassic Province of AlgeriaItem Analysis and interpretation of environment sequence models in Hassi R’Mel Field in Algeria(2009) Baouche, Rafik; Nedjari, A.; Eladj, S.; Chaouchi, Rabah