Emanating Intelligent Mechatronics in the Oil and Gas Industry: A Resilient Approach to Refine the Perceptive and Maturity Fusion of Pneumatically Actuated Control Valves Within the Digital Triplet Paradigm

In the pursuit of achieving a harmonious equilibrium between automation, mechatronics, human input, and artificial intelligence, this paper underscores the resilience inherent in mechatronic systems. These systems, distinguished by their capacity for sensing, actuation, and intelligent decision-making, play a pivotal role in fostering effective system intelligence and resilience heuristics. The strategy involves harnessing smart sensing, predictive, and prescriptive analytics techniques to collect and analyse operational and environmental data in real-time. This approach aims to rectify discrepancies between data-driven models and experimental observations, thereby elevating the digital maturity of the system. We delve into the intersection of intelligent mechatronics and resilience within the oil and gas industry, specifically focusing on pneumatically actuated control valves in the digital triplet paradigm. By leveraging the hierarchal levels of the digital triplet, holistic integration of the flow control valve as a mechatronics system within the digital triplet paradigm contingent upon cybernetic orders with knowledge and predictive analytics-based artificial intelligence introduces the possible scenario for fostering the digital maturity of the valve by deploying a machine learning-based random forest regressor to construct the soft sensors of the valves in real-time on the cloud platform. The intelligent activity world of the digital triplet comprises deep-learning models for the prediction of the behavior of the valve and consolidates the cognitive capacity for achieving the perceptive level in cyberspace.