Rehan Ahmed, Rohana Jaafar, Alia Rashiqah Ab Rahman, Mohd Fikhri Fikhri Sabturani, Ahmad Naim A. Khairudin
{"title":"在海上作业中实施完整性操作窗口计划面临的挑战","authors":"Rehan Ahmed, Rohana Jaafar, Alia Rashiqah Ab Rahman, Mohd Fikhri Fikhri Sabturani, Ahmad Naim A. Khairudin","doi":"10.4043/31340-ms","DOIUrl":null,"url":null,"abstract":"\n \n \n Highlights the challenges faced by matured Offshore Operating Oil and Gas Asset during implementation or enhancement of the Integrity Operating Window (IOW) monitoring and proposed solutions to address the challenges. PETRONAS Upstream has embarked on an exercise of upgrading its IOW reporting in light of the increased number of Loss of Primary Containment (LOPC) incidents and premature equipment breakdown which has resulted in Unplanned Deferment (UPD) and Health, Safety and Environment (HSE) incidents.\n \n \n \n IOWs are sets of limits used to determine the different variables that could affect the integrity and reliability of a process unit. Comparative analyses are made between the implementation of an automated online system with Artificial Intelligence capabilities versus a moreconventional manual system. We explore the advantages and disadvantages of each of these approaches including the element of cost. Integration of Pi historian and laboratory information management system (LIMS) to the IOW module will help provide real-time data and analysis to the Online and Manually implemented risk-based inspection (RBI) system.\n \n \n \n Since this is currently an ongoing exercise, the results will be based on the achievement of key performance indices, including a marked change in equipment uptime andavailability. The expectations are to upskill operations and Engineering teams in implementing andadjusting the IOW to the needs of the facility, extending asset life, and adjusting the parameters based onmachine learning or manual adjustments. Note that upgraded IOW manuals have been developed and rolled out for this pilot study, and all lessons learnt will be incorporated into any future enterprise rollout.\n \n \n \n The implementation of IOW monitoring and reporting are interfacing with other digital solutions to achieve a seamless and autonomous work process. Among digital solutions interfacing with the IOW database are Predictive Revitalization of Instrument to Maximize Efficiency (PRIME), LIMS and other in-house digital solutions such as online Corrosion Management Program and Risk-based Inspection (RBI).\n","PeriodicalId":11217,"journal":{"name":"Day 4 Fri, March 25, 2022","volume":"30 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Challenges in Implementing an Integrity Operating Window IOW Program in Offshore Operations\",\"authors\":\"Rehan Ahmed, Rohana Jaafar, Alia Rashiqah Ab Rahman, Mohd Fikhri Fikhri Sabturani, Ahmad Naim A. Khairudin\",\"doi\":\"10.4043/31340-ms\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n \\n \\n Highlights the challenges faced by matured Offshore Operating Oil and Gas Asset during implementation or enhancement of the Integrity Operating Window (IOW) monitoring and proposed solutions to address the challenges. PETRONAS Upstream has embarked on an exercise of upgrading its IOW reporting in light of the increased number of Loss of Primary Containment (LOPC) incidents and premature equipment breakdown which has resulted in Unplanned Deferment (UPD) and Health, Safety and Environment (HSE) incidents.\\n \\n \\n \\n IOWs are sets of limits used to determine the different variables that could affect the integrity and reliability of a process unit. Comparative analyses are made between the implementation of an automated online system with Artificial Intelligence capabilities versus a moreconventional manual system. We explore the advantages and disadvantages of each of these approaches including the element of cost. Integration of Pi historian and laboratory information management system (LIMS) to the IOW module will help provide real-time data and analysis to the Online and Manually implemented risk-based inspection (RBI) system.\\n \\n \\n \\n Since this is currently an ongoing exercise, the results will be based on the achievement of key performance indices, including a marked change in equipment uptime andavailability. The expectations are to upskill operations and Engineering teams in implementing andadjusting the IOW to the needs of the facility, extending asset life, and adjusting the parameters based onmachine learning or manual adjustments. Note that upgraded IOW manuals have been developed and rolled out for this pilot study, and all lessons learnt will be incorporated into any future enterprise rollout.\\n \\n \\n \\n The implementation of IOW monitoring and reporting are interfacing with other digital solutions to achieve a seamless and autonomous work process. Among digital solutions interfacing with the IOW database are Predictive Revitalization of Instrument to Maximize Efficiency (PRIME), LIMS and other in-house digital solutions such as online Corrosion Management Program and Risk-based Inspection (RBI).\\n\",\"PeriodicalId\":11217,\"journal\":{\"name\":\"Day 4 Fri, March 25, 2022\",\"volume\":\"30 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Day 4 Fri, March 25, 2022\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4043/31340-ms\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 4 Fri, March 25, 2022","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4043/31340-ms","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Challenges in Implementing an Integrity Operating Window IOW Program in Offshore Operations
Highlights the challenges faced by matured Offshore Operating Oil and Gas Asset during implementation or enhancement of the Integrity Operating Window (IOW) monitoring and proposed solutions to address the challenges. PETRONAS Upstream has embarked on an exercise of upgrading its IOW reporting in light of the increased number of Loss of Primary Containment (LOPC) incidents and premature equipment breakdown which has resulted in Unplanned Deferment (UPD) and Health, Safety and Environment (HSE) incidents.
IOWs are sets of limits used to determine the different variables that could affect the integrity and reliability of a process unit. Comparative analyses are made between the implementation of an automated online system with Artificial Intelligence capabilities versus a moreconventional manual system. We explore the advantages and disadvantages of each of these approaches including the element of cost. Integration of Pi historian and laboratory information management system (LIMS) to the IOW module will help provide real-time data and analysis to the Online and Manually implemented risk-based inspection (RBI) system.
Since this is currently an ongoing exercise, the results will be based on the achievement of key performance indices, including a marked change in equipment uptime andavailability. The expectations are to upskill operations and Engineering teams in implementing andadjusting the IOW to the needs of the facility, extending asset life, and adjusting the parameters based onmachine learning or manual adjustments. Note that upgraded IOW manuals have been developed and rolled out for this pilot study, and all lessons learnt will be incorporated into any future enterprise rollout.
The implementation of IOW monitoring and reporting are interfacing with other digital solutions to achieve a seamless and autonomous work process. Among digital solutions interfacing with the IOW database are Predictive Revitalization of Instrument to Maximize Efficiency (PRIME), LIMS and other in-house digital solutions such as online Corrosion Management Program and Risk-based Inspection (RBI).