Rock typing is a process of rock classification based on mineralogical composition, grainshape pore size distribution (PSD) and communication. In addition to rock-fluid interaction, dynamic behavior and the capillary effect are also considered. In that purpose data need process involve: integrating, analyzing and synthesizing data brought out from different source: Petrophysics, cores analysis, well tests, MDT tooland production profiles. Achievement of rock typing reservoir based on fluid - solid behavior and their relation constitute an important issue not only for making distinguished different rock types but also for fluid gas contacts.For the case study, our investigation is concerned with the determination of the rock type dynamism resulting in reservoir rocks having similar dynamic behavior. Outcome from this process is to establish a representative petrophysical model able to predict any effect own to the change of the rock properties or fluid characteristics. Establishment of numerical model in  that context, and its relative changes can be ascribed to rapid petrophysical variation characteristics: related to pore size, geometry, grain size distribution, fluid behavior and circulation with essential reference to permeability. This latter can affect the simulation time and consequently, the accuracy in the calculation process. In this conducted investigation, application of linear regression method is involving permeability and porosity core measurement, stressing on their coefficient of correlation. Results have led to different clusters classification according to the linearity regarding permeability-porosity changes. Extrapolation can be made for the non-cored reservoir sections or non-cored boreholes associated to the considered field. In that principle geological models can be set. Application of these listed method for TAGI (TriasArgilo-GreseuxInferieur: Lower Shaly – SansdtoneTriasic Formation) in B-H Basin (Algeria) has revealed the presence of six main rock types: sand type 1 (RT-1), sand Type 2 (RT-2), sand type 3 (RT-3), sand type 4 (RT-4), sand type 5 (RT-5) and sand type 6 (RT-6).

Rock typing is a process of rock classification based on mineralogical composition, grainshape pore size distribution (PSD) and communication. In addition to rock-fluid interaction, dynamic behavior and the capillary effect are also considered. In that purpose data need process involve: integrating, analyzing and synthesizing data brought out from different source: Petrophysics, cores analysis, well tests, MDT tooland production profiles. Achievement of rock typing reservoir based on fluid - solid behavior and their relation constitute an important issue not only for making distinguished different rock types but also for fluid gas contacts.For the case study, our investigation is concerned with the determination of the rock type dynamism resulting in reservoir rocks having similar dynamic behavior. Outcome from this process is to establish a representative petrophysical model able to predict any effect own to the change of the rock properties or fluid characteristics. Establishment of numerical model in  that context, and its relative changes can be ascribed to rapid petrophysical variation characteristics: related to pore size, geometry, grain size distribution, fluid behavior and circulation with essential reference to permeability. This latter can affect the simulation time and consequently, the accuracy in the calculation process. In this conducted investigation, application of linear regression method is involving permeability and porosity core measurement, stressing on their coefficient of correlation. Results have led to different clusters classification according to the linearity regarding permeability-porosity changes. Extrapolation can be made for the non-cored reservoir sections or non-cored boreholes associated to the considered field. In that principle geological models can be set. Application of these listed method for TAGI (TriasArgilo-GreseuxInferieur: Lower Shaly – SansdtoneTriasic Formation) in B-H Basin (Algeria) has revealed the presence of six main rock types: sand type 1 (RT-1), sand Type 2 (RT-2), sand type 3 (RT-3), sand type 4 (RT-4), sand type 5 (RT-5) and sand type 6 (RT-6).

In this paper, a new metallic thin film engineering aspect is proposed to achieve superior absorption for TiO2/Metal/TiO2 on Silicon substrate UV-based photodetectors (PDs). The overall device optical performance comparison with three dissimilar metallic layers (Au, Ti, and Ag) is performed numerically using accurate solutions of Maxwell׳s equations. A comprehensive study of the device optical parameters such as the integral absorption, reflection, and rejection ratio is carried out, in order to reveal the device optical performance for UV optical interconnects and environment monitoring applications. We find that the optical performance are considerably improved as compared to the conventional design, where the proposed design offers superior integral absorption and lower total reflection with an acceptable rejection ratio in comparison with those provided by the conventional one. These improvements suggest the opportunity for optimizing the proposed design using particle swarm optimization (PSO) approach for achieving higher optical performance, where excellent capability is recorded in enhancing the device optical behavior. The obtained results make the prop sed device very efficient for compatible CMOS modern technology.

In this paper, a new metallic thin film engineering aspect is proposed to achieve superior absorption for TiO2/Metal/TiO2 on Silicon substrate UV-based photodetectors (PDs). The overall device optical performance comparison with three dissimilar metallic layers (Au, Ti, and Ag) is performed numerically using accurate solutions of Maxwell׳s equations. A comprehensive study of the device optical parameters such as the integral absorption, reflection, and rejection ratio is carried out, in order to reveal the device optical performance for UV optical interconnects and environment monitoring applications. We find that the optical performance are considerably improved as compared to the conventional design, where the proposed design offers superior integral absorption and lower total reflection with an acceptable rejection ratio in comparison with those provided by the conventional one. These improvements suggest the opportunity for optimizing the proposed design using particle swarm optimization (PSO) approach for achieving higher optical performance, where excellent capability is recorded in enhancing the device optical behavior. The obtained results make the prop sed device very efficient for compatible CMOS modern technology.

In this paper, a new metallic thin film engineering aspect is proposed to achieve superior absorption for TiO2/Metal/TiO2 on Silicon substrate UV-based photodetectors (PDs). The overall device optical performance comparison with three dissimilar metallic layers (Au, Ti, and Ag) is performed numerically using accurate solutions of Maxwell׳s equations. A comprehensive study of the device optical parameters such as the integral absorption, reflection, and rejection ratio is carried out, in order to reveal the device optical performance for UV optical interconnects and environment monitoring applications. We find that the optical performance are considerably improved as compared to the conventional design, where the proposed design offers superior integral absorption and lower total reflection with an acceptable rejection ratio in comparison with those provided by the conventional one. These improvements suggest the opportunity for optimizing the proposed design using particle swarm optimization (PSO) approach for achieving higher optical performance, where excellent capability is recorded in enhancing the device optical behavior. The obtained results make the prop sed device very efficient for compatible CMOS modern technology.

In this paper, a new metallic thin film engineering aspect is proposed to achieve superior absorption for TiO2/Metal/TiO2 on Silicon substrate UV-based photodetectors (PDs). The overall device optical performance comparison with three dissimilar metallic layers (Au, Ti, and Ag) is performed numerically using accurate solutions of Maxwell׳s equations. A comprehensive study of the device optical parameters such as the integral absorption, reflection, and rejection ratio is carried out, in order to reveal the device optical performance for UV optical interconnects and environment monitoring applications. We find that the optical performance are considerably improved as compared to the conventional design, where the proposed design offers superior integral absorption and lower total reflection with an acceptable rejection ratio in comparison with those provided by the conventional one. These improvements suggest the opportunity for optimizing the proposed design using particle swarm optimization (PSO) approach for achieving higher optical performance, where excellent capability is recorded in enhancing the device optical behavior. The obtained results make the prop sed device very efficient for compatible CMOS modern technology.

In this paper, a new hybrid approach by combining numerical investigation and Support Vector Machines (SVMs) classifier is proposed to study the thermoelectric performance of nanoscale Double Gate Junctionless DG JL MOSFET. In this context, a new Figure of Merit (FoM) parameter which combines both electrical and reliability characteristics is proposed. Moreover, the impact of Gaussian channel doping profile (GCD) in enhancing the DG JL MOSFET reliability against the self-heating effects (SHEs) is presented. The proposed design thermal stability and electrical characteristics are investigated and compared with those of the conventional structure in order to reveal the device performance including SHEs. It is found that the amended channel doping has a profound implication in improving both the device electrical performance and the reliability against the undesired self-heating and short channel effects (SCEs). Furthermore, the transistor thermal behavior analysis involves classification of the device performance by taking into account the device reliability. For this purpose, SVMs are adopted for supervised classification in order to identify the most favorable design configurations associated with suppressed SHEs and improved electrical performance. We find that the proposed design methodology has succeeded in selecting the better designs that offer superior reliability against the SHEs. The obtained results suggest the possibility for bridging the gap between high electrical performances with better immunity to the SHEs.

In this paper, a new hybrid approach by combining numerical investigation and Support Vector Machines (SVMs) classifier is proposed to study the thermoelectric performance of nanoscale Double Gate Junctionless DG JL MOSFET. In this context, a new Figure of Merit (FoM) parameter which combines both electrical and reliability characteristics is proposed. Moreover, the impact of Gaussian channel doping profile (GCD) in enhancing the DG JL MOSFET reliability against the self-heating effects (SHEs) is presented. The proposed design thermal stability and electrical characteristics are investigated and compared with those of the conventional structure in order to reveal the device performance including SHEs. It is found that the amended channel doping has a profound implication in improving both the device electrical performance and the reliability against the undesired self-heating and short channel effects (SCEs). Furthermore, the transistor thermal behavior analysis involves classification of the device performance by taking into account the device reliability. For this purpose, SVMs are adopted for supervised classification in order to identify the most favorable design configurations associated with suppressed SHEs and improved electrical performance. We find that the proposed design methodology has succeeded in selecting the better designs that offer superior reliability against the SHEs. The obtained results suggest the possibility for bridging the gap between high electrical performances with better immunity to the SHEs.

In this paper, a new hybrid approach by combining numerical investigation and Support Vector Machines (SVMs) classifier is proposed to study the thermoelectric performance of nanoscale Double Gate Junctionless DG JL MOSFET. In this context, a new Figure of Merit (FoM) parameter which combines both electrical and reliability characteristics is proposed. Moreover, the impact of Gaussian channel doping profile (GCD) in enhancing the DG JL MOSFET reliability against the self-heating effects (SHEs) is presented. The proposed design thermal stability and electrical characteristics are investigated and compared with those of the conventional structure in order to reveal the device performance including SHEs. It is found that the amended channel doping has a profound implication in improving both the device electrical performance and the reliability against the undesired self-heating and short channel effects (SCEs). Furthermore, the transistor thermal behavior analysis involves classification of the device performance by taking into account the device reliability. For this purpose, SVMs are adopted for supervised classification in order to identify the most favorable design configurations associated with suppressed SHEs and improved electrical performance. We find that the proposed design methodology has succeeded in selecting the better designs that offer superior reliability against the SHEs. The obtained results suggest the possibility for bridging the gap between high electrical performances with better immunity to the SHEs.

Security is an important issue in image storage and communication, encryption is one of the most common ways to ensure security. Recently, many schemes based on chaotic map have been proposed, but most of this method suffers from small key space, which makes them vulnerable to brute forces attacks. In this study, we design a highly robust novel symmetric image encryption scheme which offer good confusion and diffusion qualities, and a large key space to ensure popular security factor and to overcome the weaknesses of the state of the art encryption schemes. In the security analysis section, we prove that our scheme can resist most known attacks, such as cipher image only attack, known and chosen plain image attacks, differential and exhaustive attacks. It is shown in this paper that the use of polar decomposition with chaotic map can gives a fast and secures encryption.

Security is an important issue in image storage and communication, encryption is one of the most common ways to ensure security. Recently, many schemes based on chaotic map have been proposed, but most of this method suffers from small key space, which makes them vulnerable to brute forces attacks. In this study, we design a highly robust novel symmetric image encryption scheme which offer good confusion and diffusion qualities, and a large key space to ensure popular security factor and to overcome the weaknesses of the state of the art encryption schemes. In the security analysis section, we prove that our scheme can resist most known attacks, such as cipher image only attack, known and chosen plain image attacks, differential and exhaustive attacks. It is shown in this paper that the use of polar decomposition with chaotic map can gives a fast and secures encryption.

Security is an important issue in image storage and communication, encryption is one of the most common ways to ensure security. Recently, many schemes based on chaotic map have been proposed, but most of this method suffers from small key space, which makes them vulnerable to brute forces attacks. In this study, we design a highly robust novel symmetric image encryption scheme which offer good confusion and diffusion qualities, and a large key space to ensure popular security factor and to overcome the weaknesses of the state of the art encryption schemes. In the security analysis section, we prove that our scheme can resist most known attacks, such as cipher image only attack, known and chosen plain image attacks, differential and exhaustive attacks. It is shown in this paper that the use of polar decomposition with chaotic map can gives a fast and secures encryption.