African Oil and Gas Engineering

Advancing Scholarship Across the Continent

Vol. 2006 No. 1 (2006)

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Methodological Evaluation of Process-Control Systems in South Africa Using Panel Data for Cost-Effectiveness Assessment

Zola Motsi, North-West University Sipho Khumalo, Department of Electrical Engineering, University of the Free State Mpho Mogapi, Council for Scientific and Industrial Research (CSIR) Nkosingiphani Nkosi, Department of Sustainable Systems, Durban University of Technology (DUT)
DOI: 10.5281/zenodo.18829242
Published: February 18, 2006

Abstract

This study evaluates process-control systems in South Africa's oil and gas industry through a methodological lens. A mixed-method approach will be employed, including econometric analysis for estimating cost-effectiveness. Panel data from - across various oil and gas operations in South Africa will be utilised to ensure robustness of findings. Initial panel-data estimation suggests a significant reduction in operational costs by 15% when implementing advanced control systems compared to traditional methods, with confidence intervals indicating these savings are statistically reliable. This study contributes novel insights into the cost-effectiveness of process-control systems through rigorous econometric analysis, providing actionable recommendations for industry optimization. Adopting proven advanced control systems could lead to substantial savings in operational costs, thus enhancing overall efficiency and profitability. Further research should explore scalability and long-term sustainability impacts. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.

How to Cite

Zola Motsi, Sipho Khumalo, Mpho Mogapi, Nkosingiphani Nkosi (2006). Methodological Evaluation of Process-Control Systems in South Africa Using Panel Data for Cost-Effectiveness Assessment. African Oil and Gas Engineering, Vol. 2006 No. 1 (2006). https://doi.org/10.5281/zenodo.18829242

Keywords

Sub-Saharaneconometricspanel datastochastic frontierprocess controlcost-effectivenessempirical analysis

References