Oil, gas and refinery industries
The use of emerging technologies of the fourth industrial revolution, such as machine learning and big data analysis, is increasing day by day in the oil and gas industry. According to “Shana”, studies show that the digital transformation in the operational technologies of this field has provided a new generation of operational processes for exploration and extraction of oil and gas. With this approach, this industry is looking for a transformation in its strategies to take advantage of the capacity of artificial intelligence and integrated data; A transformation that is based on emerging digital technologies.
Business modernization is the goal of most oil and gas companies in digital transformation projects, and the issue of “prediction” is still the main focus of all transformations, but the approach to exploiting its results has changed. Cognitive analysis, artificial intelligence algorithms, Internet of Things and many common tools in digitalization have become basic requirements in the design of intelligent mining and exploration processes, and the main goal is to increase the productivity and security of operations through the automation of processes. Is. Reducing costs, creating competitive advantages, simplifying processes and saving time are other motivations that intensify digitization. Cognitive analysis, artificial intelligence algorithms, Internet of Things, and many common tools in digitalization have become essential in the design of intelligent exploration and mining processes, and the main goal is to increase the productivity and security of operations through process automation. Reducing costs, creating competitive advantages, simplifying processes and saving time are other motivations that intensify digitalization.
The most important predictable benefits in digital transformation are “asset integration and maintenance management”. “Development of exploration sites”, “Increasing productivity in drilling”, the possibility of “purification of extracted volumes”, “Intelligent control of the status of oil and gas pipelines”, “Gas processing”, “Intelligent management of the transportation process”, “Marketing”, ” Warehousing”, “electricity production” are in the next categories. Technologies such as artificial intelligence, predictive analytics and digital twins have a special place in the process of achieving these advantages. By using 3D models, the data and the general reality of operational operations at the operational site are transformed into a model that enables scenario-making for the future of its development. Artificial intelligence can drive intelligent automation and create a competitive advantage for the oil company by increasing the speed of extraction and reducing errors.
