據阿拉伯貿易網2022年3月13日迪拜報道，全球領先的數據分析公司GlobalData表示，未來10年，預測性維護工具將在油氣行業的關鍵基礎設施中得到更廣泛的應用。 

GlobalData在其題為《油氣行業的預測性維護——專題研究》報告中表示，預測性維護工具通過技術的使用，為油氣公司提供了運營和財務流動性。

預測性維護包括狀態監測技術，用于收集、存儲和分析油氣行業關鍵設備的結構和運行數據。  

通過分析，油氣公司能夠得到對設備健康狀況的可操作的見解，從而能夠估計設備的壽命。 報告稱，這有助于安排維護和設備更換作業，這將對油氣作業產生最小的影響。  

從19世紀早期起，油氣行業的維護策略已經走過了一段漫長的道路。 它們已經從一種反應性的方法發展為一種預防性的方法，以確保沿著供應鏈的連續運作。

一位頂級專家表示，當時的經濟緊迫性和技術支持形成了這些戰略，并將在未來繼續這樣做。  

GlobalData資深分析師普拉尼克解釋說，“在石油和天然氣設施中部署的重型機械預計將可靠、高效地運行數年。 為了確保使用壽命，有必要進行維護作業，使設備處于最佳工作狀態。”

普拉尼克指出：“及時維護也有助于防止昂貴的維護工程和計劃外的生產中斷。” 

“由于設備故障導致的計劃外停機可能會給油氣公司帶來巨大的成本損失。 設備故障的后續影響可能是深遠的，不僅僅是經濟損失。”普拉尼克如是說。  

普拉尼克繼續說道：“油氣設備有效的預測性維護策略依賴于定期的數據收集。 這些數據被用來確定年久失修的狀態，然后用來評估所需的適當的糾正措施。”

普拉尼克表示，盡管預測性維護作為一種概念已經存在了20多年，但技術的進步為預測性維護在油氣行業的應用提供了有力的支持。  

他補充道：“物聯網、人工智能、增強和虛擬現實、大數據和云計算等創新技術的出現和快速增長，已經塑造了油氣行業近期的維護戰略。”

李峻 編譯自 阿拉伯貿易網

原文如下：

Predictive maintenance crucial for oil and gas operations

Predictive maintenance tools will become more widespread across critical infrastructure in the oil and gas industry over the next decade, according to GlobalData, a leading data and analytics company.

Predictive maintenance tools offer oil and gas companies operational and financial fluidity through the use of technology, stated GlobalData its report, 'Predictive Maintenance in Oil and Gas Industry – Thematic Research.' 

The predictive maintenance includes condition monitoring technologies that collect, store, and analyze structural and operational data of key equipment in the oil and gas industry. 

Through the analysis, actionable insights are derived concerning the health of the equipment to estimate its lifespan. This helps to schedule maintenance and equipment replacement exercises in a way that will have a minimum impact on oil and gas operations, said the report.

Maintenance strategies in the oil and gas industry have come a long way from their early days in the nineteenth century. They have evolved from a reactive to a preventive approach to ensure continuous operations along the supply chain. 

The economic urgencies and technological support available at that time have shaped these strategies and will continue to do so in the future, stated a top expert.

"Heavy machinery deployed at oil and gas facilities is expected to operate reliably and efficiently for several years. To ensure longevity, it is necessary to conduct maintenance tasks for keeping the equipment in the best working condition," explained Ravindra Puranik, the oil and gas analyst at GlobalData. 

"Timely maintenance also helps prevent expensive repair works and unplanned production outages," he noted.

Unplanned shutdowns due to equipment failure can incur immense cost penalties for oil and gas operators. The after-effects of equipment breaking down can be far-reaching, beyond just economic losses. 

Puranik continues: “Effective predictive maintenance strategies for oil and gas equipment rely on regular data gathering. This data is used to determine the state of disrepair, which is then used to assess the appropriate corrective measures required.”

Even though predictive maintenance as a proof of concept has been around for over two decades, technological advancements have presented a shot in the arm for its growing adoption in the oil and gas industry, said Puranik. 

"The emergence and rapid growth of innovative technologies, such as the Internet of Things (IoT), artificial intelligence (AI), augmented and virtual reality GlobalDatastrategies in the oil and gas industry," he added.