Digital Twins in Oil and Gas – Thematic Intelligence
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Digital twins are digital representations of physical assets, systems, people, or processes. They help detect, prevent, predict, and optimize the physical environment using artificial intelligence (AI), real-time analytics, visualization, and simulation tools. Its adoption is increasing across industries, although challenges around security and interoperability still need to be addressed.
Digital twins are rapidly becoming a mainstay in oil and gas operations as companies strive to optimize asset performance and minimize unplanned outages. This aims to make oil and gas operations relatively safer while lowering the carbon footprint and improving profitability. Although the major emphasis is on creating digital twins for upstream projects, companies are also deploying these tools within their midstream and downstream assets for remote monitoring and predictive maintenance, among other benefits.
Scope
This report evaluates the use of digital twins technology in the oil and gas industry.
It provides an overview of the competitive positions held by oil and gas companies, and technology vendors in the digital twins theme.
The report establishes a digital twins value chain and identifies key technology players across this value chain.
It analyzes market size of digital twins technology and present growth forecasts till 2030.
It also evaluates the market signals in terms of deals, patents and company filings related to digital twins technology.
Reasons to Buy
Identify recent technology, macroeconomic, regulatory, and industry trends in the digital twins theme.
Identify potential opportunities for oil and gas industry players in digital twins theme.
Provides use case scenarios for digital twins technology in oil and gas industry.
Identify and benchmark key oil and gas companies and their role in the digital twins theme.
Identify and benchmark key technology companies in the digital twins value chain.
Table of Contents
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