Slim tube simulation using a commercial simulator is utilized to measure the minimum miscibility pressure (MMP) of an injected gas mixture. An alternative is to inject lean gas or nitrogen along with CO 2 to achieve better recoveries at optimum costs and suitable pressure. Moreover, its benefit-cost ratio (b/c) represents another issue higher volumes of CO 2 increases the economic expenditures. CO 2 required for the process is not sufficient for the reservoir under consideration. However, the availability of CO 2 is an issue. CO 2 has been used for flooding because it requires low injection pressures to achieve miscibility. The interdisciplinary nature of big data and IoT is emphasized, presented in various visualization applications in multiple aspects regarding direct human factors and benefits such as disaster situational awareness, security and user privacy, journalism, and social media influence.The objective of this study is to determine the effects of the concentration of injected gases on recovery factors. In more detail, this work aims to introduce the importance of big data visualization in IoT development, as well as present the opportunities in the near future and complex research challenges to be addressed. This paper focuses on the cross-section in terms of visualization between big data and IoT with human factors. Big data visualization opens up utilization for analyzing the IoT data, in which various data sources from sensors, services, and devices are combined into a single-layered visual interface, improving understanding of the large-scale data collected. This article has been retracted by International Computer Science and Engineering Society (ICSES) because of ethical misconduct, scientific distortion, or administrative error, and cannot be downloaded and used for any purpose based on the violation in ICSES Ethics in Publication call_madeīig data and the Internet of Things (IoT) are drawing widespread research interests across multiple areas, along with the systematic analytics supporting the decision-making process. ICSES Transactions on Computer Networks and Communications Wavelet-based Energy Efficient Data Collection Algorithm in Wireless Sensor Networks.
ICSES Interdisciplinary Transactions on Cloud Computing, IoT, and Big Data
Big Data Visualization for the Internet of Things: Opportunities and Challenges with Human Factors.Affiliation: Texas Tech University, Lubbock, United States
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