Sustainable Asset-Integrity Management under Intelligent Risk Based Decision Support System: A Case of KSA Oil and Gas Sector

Abstract

This study entails sustainable physical assets integrity management under an intelligent risk based decision support system concerning the Saudi Arabian oil and gas sector. Its focus was on Saudi Arabian enterprises, whether they are running effectively and sustainably over time and these organizations are using the risk-based decision support system or not. Based on the judgment random sampling method to select studies from various secondary sources about Saudi Arabia's oil and gas sector and with the help of thematic analysis, findings of this study showed that the organizations in oil and gas sector can use the intelligent risk-based decision support system to enhance their overall performance. This research has identified how large scale assets can be used efficiently in drilling, processing, and transporting oil and gas. The study has also identified a feasible and reliable framework to attain a greater level of asset dependability and maintainability using data and risk decision management. Moreover, this research has found ways to enhance the reliability of risk identification methods and identified suitable indicators for risk thresholds measurement. Findings also show that Asset Integrity Management (AIM) is based on an asset's ability to execute operations successfully and to the intended level of performance concerning the sustainable output spread across the usable asset life and taking environmental, health, and safety performance into account. More crucially, the notion of Integrity Management is connected to the managerial implications of asset management, such as natural gas and oil rigs, refineries, and power plants that need to assured the efficacy and efficiency of the core operations.