Abstract
The Internet of things technology plays an important role in improving the efficiency of oil and gas production, of which digital twin technology is the most prominent. By effectively using data and organically combining them with a deep understanding of technicians, digital twin technology can improve the efficiency of oil and gas asset systems in the entire life cycle of an oilfield including design, operation control, optimization, etc. Starting with the concept of digital twinning, this paper analyzes the situation of digital twinning in various industries, then obtains the new connotation of digital twinning in oil and gas industry, and at last establishes an optimization model of oil and gas production. Based on the digital twinning of oil and gas and applying the Internet of things, real-time data, and AI, the paper optimizes the oil and gas production process control and applies it to the actual production. Actually, the digital twin technology of oil and gas production includes six parts: entity, model, data collection, intelligent algorithm, service, and interaction control. Meanwhile, each part is interspersed with various data perception and drive, and interactive feedback forms an organic iterative closed-loop control. Digital twin technology can effectively use data and organically combine the deep understanding of technical personnel, so that it can be used in design, operation control, optimization, and other aspects including the entire life cycle of the oilfield from concept to front-end design and out-of-service . And digital twin technology would improve the efficiency of oil and gas asset systems. The example analysis shows that the system efficiency of the oil and gas production model based on digital twinning is improved by 3%. By analyzing the production status, optimizing the design, and fully grasping the production capacity, equipment capacity, and their working conditions of the oil layer, the digital twin-based approach can provide a basis for further formulating reasonable technical measures and make the equipment work normally at high efficiency to ensure high output and efficient production of oil wells.
Highlights
By effectively using data and organically combining them with a deep understanding of technicians, digital twin technology can improve the efficiency of oil and gas asset systems in the entire life cycle of an oilfield including design, operation control, optimization, etc
Starting with the concept of digital twinning, this paper analyzes the situation of digital twinning in various industries, obtains the new connotation of digital twinning in oil and gas industry, and at last establishes an optimization model of oil and gas production
Digital twin technology can effectively use data and organically combine the deep understanding of technical personnel, so that it can be used in design, operation control, optimization, and other aspects including the entire life cycle of the oilfield from concept to front-end design and out-of-service
Summary
E digital twin of oil and gas production is the three-dimensional model, physical entity, virtual entity, and their connection, and the combination of new technology, considering different links and different businesses. It comprehensively shows the dual drive of data and physical model, which means dual fusion as the main line, and flexible application of fractal thought to form a comprehensive digital twin of oil and gas production. E research of the relationships between supply and discharge module is mainly divided into four parts: data source, basic model, production analysis, and optimization design. E research module of supply and discharge relationship is mainly used to assist oil production engineers in oil well production analysis and design. e module provides accurate fluid physical properties, inflow performance, and multiphase pipe flow fitting calculation model, which lays the foundation for the analysis and design of production wells; it can analyze the nodes of oil and gas wells, find the problem nodes, and tap the production potential; it can optimize the design of various lifting methods of oil and gas wells and carry out the production potential and production potential through the bottom hole production flow pressure and production change trend. e prediction of production parameters and production indexes can be used to compare and analyze the optimization design results of different oil recovery methods
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