A digital twin is a precise, virtual representation of a physical object system, process, or asset. Digital twins integrate machine learning, artificial intelligence, and data analytics to create digital model simulations that help to predict potential issues with their real-world counterparts. A common concept within the industrial internet of things (IoT), digital twins are used in the oil and gas industry to optimize operations and maintenance of production facilities. This helps oil and gas companies detect early signs of equipment failure and proactively respond, plan, and implement corrective maintenance actions at a considerably lower cost and safety risk.
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