Abstract In the oil field, assets are often located in remote areas, posing significant challenges for logistics, resource mobilization, and time-consuming troubleshooting during operational disturbances or equipment downtime. This paper presents a solution that utilizes a decision model based on Process Data obtained from the DCS and Enterprise Process Information Database. The logical model includes causes and remedies derived from FMEA analysis and operational manuals for critical equipment to facilitate fault finding and troubleshooting. The concept involves developing a mathematical decision model based on critical operating parameters using a web-based Process system. The FMEA Decision models include respective failure causes and remedial actions, linked with the PI system to improve equipment availability and reliability. Customized dashboards were created to consolidate real-time monitoring of critical parameters, enabling proactive actions on any abnormalities. Alerts are configured to recognize deviations; when any parameter reaches an alert value, the cell color changes to yellow, and an email notification is sent with analyzed data and mathematical models, detailing causes and remedies for quick follow-up. To realize the pilot concept, studies were conducted on failure causes, operating procedures, causes and remedial actions, and operating parameters-based troubleshooting to develop FMEA Mathematical/Decision Models for each case. Oil-producing wells, MPFM, MSMs, multi-phase pumps, utilities, and flare systems were assessed, and all critical parameters were consolidated in customized dashboards for effective monitoring and quick analysis to avoid nuisance trips.
Ahmed et al. (Mon,) studied this question.