Engineering Model for Performance Evaluation of Detection Sensors in Field-Based Controlled Release Emissions Testing

Authors

  • Zamathula Sikhakhane Nwokediegwu  Independent Researcher, Durban, South Africa
  • Oluwapelumi Joseph Adebowale  Independent Researcher, USA

Keywords:

Detection Sensors, Emissions Testing, Field-Based Testing, Engineering Model, Sensor Performance, Gas Dispersion, Environmental Monitoring, Controlled Release, Calibration, Validation.

Abstract

The performance of detection sensors in field-based controlled release emissions testing is critical for ensuring accurate monitoring and management of hazardous gas emissions, particularly in the oil and gas industry. This study proposes an engineering model designed to evaluate the performance of various detection sensors used in controlled release emissions testing. The model integrates both sensor-specific characteristics and environmental variables to assess the effectiveness of detection technologies in real-world field conditions. Key parameters considered in the evaluation include sensor sensitivity, response time, accuracy, and robustness under different operational scenarios, such as varying wind speeds, temperatures, and concentrations of the target gases. The proposed model simulates the dynamics of gas dispersion during controlled release tests, including the distribution of emitted gases and their interaction with sensors deployed in the field. This provides an assessment of sensor detection capabilities in diverse environmental conditions and emission scenarios. The engineering model incorporates a series of calibration protocols to ensure the sensors' reliability and consistency during testing, as well as a validation framework to compare simulated results with empirical data collected from actual field tests. Additionally, the model uses statistical analysis to quantify sensor performance and identify potential weaknesses, allowing for the optimization of detection technologies. This tool is particularly valuable for improving the design and deployment of emission detection systems, ensuring their operational effectiveness in identifying leaks and reducing the risk of hazardous emissions. The findings of this study offer a comprehensive evaluation framework for selecting appropriate detection sensors for field-based testing, improving sensor deployment strategies, and enhancing the accuracy of emissions monitoring. Ultimately, this model contributes to enhancing environmental protection efforts by improving the reliability and precision of gas emission detection systems in the oil and gas sector.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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2023-10-30

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Volume 9, Issue 5, September-October-2023

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Zamathula Sikhakhane Nwokediegwu, Oluwapelumi Joseph Adebowale, " Engineering Model for Performance Evaluation of Detection Sensors in Field-Based Controlled Release Emissions Testing" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 5, pp.654-680, September-October-2023.