The digital twin of oil and gas pipe network is constructed to develop virtuality and reality together, and to provide new management mode for construction, production, maintenance and integrity.
The online operation of pipeline network assets realizes efficient and low-cost management mode featuring convenient acquisition to operation data, smooth circulation of tasks and complete process trace.
Relying on massive real-time monitoring data, comprehensive expert knowledge and accurate prediction algorithm model, intelligent operation decision-making can be improved.
A full-process management system of prior prevention, in-process disposal and post-event summary is established to enrich the early warning knowledge base and improve the level of emergency disposal.
On a macro basis, the statistics of sales, procurement and consumption plan, gas transmission and distribution plan, user structure, annual cumulative gas transmission and daily gas transmission capacity of the pipeline network are displayed, to forecast supply and demand based on seasonal and other factors, timely give early warning for abnormalities such as insufficient gas transmission and distribution, and assist gas transmission and distribution management.
The real-time data of pipeline mileage, elevation, trend, diameter, pressure, transmission medium, valve chamber distribution, affiliated company, real-time operation temperature and pressure flow are integrated, and then the geological disaster and high consequence area of the pipe network are displayed, so that the manager can clearly operate the pipe network in real-time .
Based on the analysis and dynamic monitoring of pipe network and pipeline protection data, the manager can visually check the distribution of high consequence area, overall risk situation, third party construction, geological disasters, residential buildings, etc., so as to monitor and timely handle the risks and avoid safety accidents.
A complete management system from high consequence area identification to high consequence area AI video monitoring is provided to reduce identification cost and workload, reduce the human impact on identification results, improve real-time monitoring in high consequence area, and avoid risks caused by third party construction, large machinery intrusion and other factors.
The flow model of oil and gas pipe network is built to realize the steady-state and transient simulation of the pipeline network, to accurately simulate the hydraulic and thermal distribution and dynamic change process of the pipe network system, and to provide reliable basis for the planning design, operation control, dispatching management and optimization analysis of the pipe network.
In order to improve the accuracy and efficiency of emergency decision-making, the system integrates the data of emergency rescue resource distribution and emergency disposal effect simulation algorithm, and provides relevant data and simulation results for the emergency decision makers based on the location and nature of the accident or disaster, to improve the rescue effect.
By intelligently improving the operation and management of oil and gas pipe network in terms of perception, cognition and decision-making, the comprehensive application of technologies including Internet of Things, digital twin, operation optimization and big data helps to realize all-round perception, comprehensive prediction, self-adaptation optimization and integrated management and control of intelligent pipe network, to dynamically adapt to the changes of external environment, resource market and operation management, and support the application and comprehensive decision-making in various professional fields.