市場調查報告書
商品編碼
1606568
全球石油和天然氣產業的數位雙胞胎,2024-2030Digital Twins in the Oil and Gas Industry, Global, 2024-2030 |
數位雙胞胎實現精確的營運模擬並推動全球石油和天然氣產業的轉型
在自主技術日益普及的推動下,數位雙胞胎正在成為石油和天然氣 (O&G) 行業極具吸引力的成長機會。數位雙胞胎技術幫助油氣公司利用和分析大量生產資料,實現各種虛擬生產場景的即時視覺化。
數位雙胞胎是現有資產和系統的虛擬表示,使油氣供應商能夠獲得對其營運的寶貴見解。該技術徹底改變了油氣產業的傳統資產管理和維護。透過實施數位雙胞胎,生產商可以增強遠端資產監控、預測性維護、流程模擬和最佳化以及其他應用。
數位數位雙胞胎具有適應性和靈活性,可以合併到各種現有系統中,但採用取決於多種因素,包括資料品質、可訪問性、連接性以及與現有系統和基礎設施的兼容性可能會出現的挑戰。
數位雙胞胎採用的主要驅動力是物聯網 (IoT) 和人工智慧 (AI) 技術。數位雙胞胎主要用於資產管理、遠端監控、預測分析和虛擬培訓,油氣製造商擴大投資於這些技術。
本研究詳細分析了油氣應用中數位雙胞胎的全球市場,包括收益和預測、競爭分析、應用細分以及 2030 年之前的成長機會。
Digital Twins are Driving Transformational Growth in the Global Oil and Gas Industry by Enabling Precise Operational Simulation
Fueled by the rising adoption of autonomous technologies, digital twins are emerging as an attractive growth opportunity in the oil and gas (O&G) industry. Digital twin technology helps O&G firms utilize and analyze enormous amounts of production data, enabling them to visualize various hypothetical production scenarios in real time.
Digital twins are virtual representations of existing assets or systems, and they allow O&G vendors to extract valuable insights about their operations. This technology has transformed traditional asset management and maintenance in the O&G industry. By implementing digital twins, producers can enhance remote asset monitoring, predictive maintenance, process simulation and optimization, and other applications.
Owing to the technology's adaptability and flexibility, it can be integrated into a wide variety of existing systems; however, its implementation can present challenges, depending on various factors, including data quality, accessibility, connectivity, and compatibility with existing systems and infrastructure.
The main enablers of digital twin adoption will be Internet of Things (IoT) and artificial intelligence (AI) technologies. Digital twins will be mainly used in asset management, remote monitoring, predictive analysis, and virtual training, and O&G producers are increasing their investments in these technologies.
This study presents a detailed analysis of the global market for digital twins in O&G applications, including revenue forecasts, competitive analysis, application segmentations, and growth opportunities until 2030.