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The accurate classification of reservoir recovery factor is dampened by irregularities such as noisy and high-dimensional features associated with the reservoir measurements or characterization. These irregularities, especially a larger number of features, make it difficult to perform accurate classification of reservoir recovery factor, as the generated reservoir features are usually heterogeneous. Consequently, it is imperative to select relevant reservoir features while preserving or amplifying reservoir recovery accuracy. This phenomenon can be treated as a multi-objective optimization problem, since there are two conflicting objectives: minimizing the number of measurements and preserving high recovery classification accuracy. In this study, wrapper-based multi-objective feature selection approaches are proposed to estimate the set of Pareto optimal solutions that represents the optimum trade-off between these two objectives. Specifically, three multi-objective optimization algorithms—Non-dominated Sorting Genetic Algorithm II (NSGA-II), Multi-Objective Grey Wolf Optimizer (MOGWO) and Multi-Objective Particle Swarm Optimization (MOPSO)—are investigated in selecting relevant features from the reservoir dataset. To the best of our knowledge, this is the first time multi-objective optimization has been used for reservoir recovery factor classification. The Artificial Neural Network (ANN) classification algorithm is used to evaluate the selected reservoir features. Findings from the experimental results show that the proposed MOGWO-ANN outperforms the other two approaches (MOPSO and NSGA-II) in terms of producing non-dominated solutions with a small subset of features and reduced classification error rate.
Qasem Al-Tashi; Emelia Akashah Patah Akhir; Said Jadid Abdulkadir; SeyedAli Mirjalili; Tareq M. Shami; Hitham Alhusssian; Alawi Alqushaibi; Ayed Alwadain; Abdullateef O. Balogun; Nasser Al-Zidi. Classification of Reservoir Recovery Factor for Oil and Gas Reservoirs: A Multi-Objective Feature Selection Approach. Journal of Marine Science and Engineering 2021, 9, 888 .
AMA StyleQasem Al-Tashi, Emelia Akashah Patah Akhir, Said Jadid Abdulkadir, SeyedAli Mirjalili, Tareq M. Shami, Hitham Alhusssian, Alawi Alqushaibi, Ayed Alwadain, Abdullateef O. Balogun, Nasser Al-Zidi. Classification of Reservoir Recovery Factor for Oil and Gas Reservoirs: A Multi-Objective Feature Selection Approach. Journal of Marine Science and Engineering. 2021; 9 (8):888.
Chicago/Turabian StyleQasem Al-Tashi; Emelia Akashah Patah Akhir; Said Jadid Abdulkadir; SeyedAli Mirjalili; Tareq M. Shami; Hitham Alhusssian; Alawi Alqushaibi; Ayed Alwadain; Abdullateef O. Balogun; Nasser Al-Zidi. 2021. "Classification of Reservoir Recovery Factor for Oil and Gas Reservoirs: A Multi-Objective Feature Selection Approach." Journal of Marine Science and Engineering 9, no. 8: 888.
In this article, for the first time, a new mathematical model of the schemes for organizing a session of person–system interactions between the registration center server of the information system for critical use (ISCU) and the terminal of the person-user in a wireless communication environment are presented. In contrast to the existing literature, this article uses the mathematical apparatus of queuing systems to describe the schemes of organizing the stochastic process of a session of person–system interaction in discrete or continuous time, namely, models of the type Geo/Geo/1 with group arrival and ordinary service for the case of discrete representation of time and models of the type M/G/1 for the case of continuous time representation. The use of the mathematical apparatus of queuing systems in the studies made it possible to obtain analytical expressions for comparing formalized schemes for organizing the person–system interaction according to such functional characteristics as the average time of downloading a finite number of data blocks into the terminal of the target person-user (average time that the request spent the server of the information system).
Mohammed Al-Ma’Aitah; Aldosary Saad; Ayed Alwadain. Modeling of the Schemes for Organizing a Session of Person–System Interactions in the Information System for Critical Use Which Operates in a Wireless Communication Environment. Symmetry 2021, 13, 391 .
AMA StyleMohammed Al-Ma’Aitah, Aldosary Saad, Ayed Alwadain. Modeling of the Schemes for Organizing a Session of Person–System Interactions in the Information System for Critical Use Which Operates in a Wireless Communication Environment. Symmetry. 2021; 13 (3):391.
Chicago/Turabian StyleMohammed Al-Ma’Aitah; Aldosary Saad; Ayed Alwadain. 2021. "Modeling of the Schemes for Organizing a Session of Person–System Interactions in the Information System for Critical Use Which Operates in a Wireless Communication Environment." Symmetry 13, no. 3: 391.
Today, as organizations face constant change, they must rapidly adapt their strategies and operations. This involves continuous business transformation. However, guiding and managing such transformation can be an intimidating task because of organizational complexity. Hence, organizations resort to Enterprise Architecture (EA) to address this complexity and achieve their transformation goals. Nonetheless, there is a lack of research on EA benefits realization and a dearth of conclusive evidence on how EA enables business transformation and delivers value to organizations. Therefore, this research uses a case study method to explore how EA investment is converted into organizational value. This research makes two contributions. The first of these is the development of an EA value realization model, which comprises three iterative and interrelated processes: the EA conversion process, the EA use process, and the EA competitive process. The second contribution is the identification of factors that may influence the value realization process.
Ayed Alwadain. Enterprise Architecture: A Business Value Realization Model. Sustainability 2020, 12, 8485 .
AMA StyleAyed Alwadain. Enterprise Architecture: A Business Value Realization Model. Sustainability. 2020; 12 (20):8485.
Chicago/Turabian StyleAyed Alwadain. 2020. "Enterprise Architecture: A Business Value Realization Model." Sustainability 12, no. 20: 8485.
Organisations use Enterprise Architecture (EA) to reduce organisational complexity, improve communication, align business and information technology (IT), and drive organisational change. Due to the dynamic nature of environmental and organisational factors, EA descriptions need to change over time to keep providing value for its stakeholders. Emerging business and IT trends, such as Service-Oriented Architecture (SOA), may impact EA frameworks, methodologies, governance and tools. However, the phenomenon of EA evolution is still poorly understood. Using Archer's morphogenetic theory as a foundation, this research conceptualises three analytical phases of EA evolution in organisations, namely conditioning, interaction and elaboration. Based on a case study with a government agency, this paper provides new empirically and theoretically grounded insights into EA evolution, in particular in relation to the introduction of SOA, and describes relevant generative mechanisms affecting EA evolution. By doing so, it builds a foundation to further examine the impact of other IT trends such as mobile or cloud-based solutions on EA evolution. At a practical level, the research delivers a model that can be used to guide professionals to manage EA and continually evolve it.
Ayed Alwadain; Erwin Fielt; Axel Korthaus; Michael Rosemann. Empirical insights into the development of a service-oriented enterprise architecture. Data & Knowledge Engineering 2016, 105, 39 -52.
AMA StyleAyed Alwadain, Erwin Fielt, Axel Korthaus, Michael Rosemann. Empirical insights into the development of a service-oriented enterprise architecture. Data & Knowledge Engineering. 2016; 105 ():39-52.
Chicago/Turabian StyleAyed Alwadain; Erwin Fielt; Axel Korthaus; Michael Rosemann. 2016. "Empirical insights into the development of a service-oriented enterprise architecture." Data & Knowledge Engineering 105, no. : 39-52.
Ayed Alwadain; Erwin Fielt; Axel Korthaus; Michael Rosemann. A Critical Realist Perspective of Enterprise Architecture Evolution: Conditioning and Outcomes. Australasian Journal of Information Systems 2014, 18, 1 .
AMA StyleAyed Alwadain, Erwin Fielt, Axel Korthaus, Michael Rosemann. A Critical Realist Perspective of Enterprise Architecture Evolution: Conditioning and Outcomes. Australasian Journal of Information Systems. 2014; 18 (3):1.
Chicago/Turabian StyleAyed Alwadain; Erwin Fielt; Axel Korthaus; Michael Rosemann. 2014. "A Critical Realist Perspective of Enterprise Architecture Evolution: Conditioning and Outcomes." Australasian Journal of Information Systems 18, no. 3: 1.