The smart Oil and Gas Industry (OGI) is a transformation of the corresponding automated industry via using Industry 4.0 (I4.0) enablers, including Internet of Things (IoTs), cloud computing, blockchain, big data analytics, robotics, simulation, 3D printing, augmented reality/ virtual reality, system integration, and cybersecurity. IoTs facilitate and accelerate real-time data gathering using proper sensors in any conditions and then transmit the collected data set to cloud servers via the internet. This paper contributes to assessing the OGI adaptation to IoT-based management by proposing an assessment framework involving assessment criteria and the corresponding hierarchical structure. In addition, the proposed framework includes the Analytical Hierarchy Process (AHP) to derive the significance of criteria and sub-criteria based on experts’ judgment. Results of employing this framework in a case study from Iran showed that the application of IoT in some sectors, such as pipeline and Health/Safety/Environment (HSE), is crucial, and in other sectors of OGI, like Exploration and production, is less significant, according to the questioned experts. In addition, emergency maintenance, monitoring pipeline parameters, real-time detection of dangerous conditions, and well automation are the most significant sub-criteria of maintenance, pipeline, HSE, and exploration and production, respectively.
Ranjbar et al. (Sun,) studied this question.