通用與諾布爾聯(lián)合推出世界首臺數(shù)字化鉆機
中國石化新聞網(wǎng)訊 據(jù)諾布爾公司2月22日巴黎報道，在通用電氣(紐約證券交易所: GE)和諾布爾有限公司(紐約證券交易所:NE)的形成伙伴關系下，兩家公司推出了世界上第一艘數(shù)字鉆井船，旨在實現(xiàn)減少目標設備上20%的運營成本同時提高鉆井效率。
這是進一步釋放海上鉆井作業(yè)數(shù)字化解決方案巨大潛力的有力舉措。
在海上鉆探行業(yè)，運營商長期以來一直依賴個人，造成了明顯的績效不一致和差異。
該行業(yè)的低迷對鉆探商尋求創(chuàng)新的方式來實現(xiàn)卓越的運營提出了挑戰(zhàn)。
由通用電氣的Predix平臺驅動的數(shù)字化鉆機解決方案，被部署到諾布爾Globetrotter I 號鉆井船，已成功連接到所有目標控制系統(tǒng)，包括鉆井控制網(wǎng)絡、電源管理系統(tǒng)和動力定位系統(tǒng)。
在鉆船舶上協(xié)調和集中的數(shù)據(jù)被單個傳感器和控制系統(tǒng)收集起來，然后實時傳輸?shù)酵ㄓ霉I(yè)性能和可靠性能中心做預測分析。
對于主要的海洋和鉆井設備的交付實施和分析已經(jīng)顯示出了可喜的成果，因為數(shù)字化鉆機解決方案捕獲了多個異常，并在潛在故障發(fā)生前兩個月就已發(fā)出警報。
數(shù)字鉆機解決方案結合了有形資產(chǎn)的數(shù)字副本的數(shù)據(jù)模型，被稱為數(shù)字化雙胞胎（digital twin），以及先進的分析，以檢測非標準行為，為運營商提供早期預警，以便在問題發(fā)生之前平息問題。
通過學習曲線，數(shù)字雙胞胎將繼續(xù)增強其機器行為的預測能力，并最終實現(xiàn)預測維護。
這意味著離岸人員現(xiàn)在可以把他們的資源集中在真正需要和有效的維護活動上。
其結果是減少計劃外的停機時間、提高的收入和重要的維護成本節(jié)約。
數(shù)字設備解決方案的目標是在目標設備上實現(xiàn)20%的業(yè)務支出削減。
兩家公司不久將開始在邊界上對設備的實時數(shù)據(jù)進行分析，以定位性能改進和資產(chǎn)智能。
其余三艘目標船舶將預計將在今年年初進行數(shù)字化運作優(yōu)化。
蔡小全 編譯自 PENNENERGY
原文如下：
GE and Noble link up the world's first digital rig
Following the partnership formed by GE (NYSE: GE) and Noble Corporation plc (NYSE: NE), the two companies launched the world’s first digital drilling vessel, targeted to achieve 20 percent operational expenditure reduction across the targeted equipment and improve drilling efficiency.
This is a concrete step forward to unlock the immense potential of digital solutions for offshore drilling operations.
In the offshore drilling industry, operators have long relied on individuals, leading to significant performance inconsistencies and variance.
The downturn of the industry has challenged drillers to look for innovative ways to achieve operational excellence.
The Digital Rig solution, powered by GE’s Predix platform, deployed on the Noble Globetrotter I drilling vessel has been successfully connected to all targeted control systems, including the drilling control network, the power management system and the dynamic positioning system.
Data is collected through individual sensors and control systems, harmonized and centralized on the vessel before transmitting in near real time to GE’s Industrial Performance & Reliability Center for predictive analytics.
The delivered implementation and analytics on major marine and drilling equipment have already shown promising results, as the Digital Rig solution captured multiple anomalies and has produced alerts to inform potential failures up to two months before they would occur.
The Digital Rig solution combines data models from a digital replica of physical assets, known as a digital twin, along with advanced analytics to detect off-standard behavior, providing an early warning to operators to mitigate a problem before it strikes.
Through the learning curve, the digital twin will continue to enhance its predictive capability of machine behaviors and ultimately enable predictive maintenance.
This means the personnel offshore can now focus their resources on maintenance activities that are truly needed and effective.
The result is reduced unplanned downtime, improved revenue and significant maintenance cost savings.
The Digital Rig solution is targeting to deliver up to a 20 percent reduction in operational expenditures across the targeted equipment.
The companies will soon start running analytics on equipment’s real-time data on the edge to localize performance improvements and asset intelligence.
The remaining three targeted vessels are on schedule to be digitalized for operational optimization early this year.
