Detailed analysis of the implementation steps and strategies for ground digital twin construction in the field of oil and gas exploration and development
Complexity of surface process flow: Compared with the production process of oil and gas reservoirs and wellbores, the process flow of surface production has distinct characteristics. Its process length is long, covering multiple links and steps, from raw material input to final product output, interspersed with many complex operation procedures. The process nodes are extremely rich, not only with a wide variety of types, but also with different functions and roles of each node, which influence and restrict each other. The basic equipment components are exquisite and complex in structural design, and also highly professional and diverse in functional realization.
When carrying out modeling work, accurately defining the scope of modeling is the first task. This requires a comprehensive and in-depth analysis of the entire surface production system to clarify which parts are the core areas of modeling and which are auxiliary parts, so as to ensure the reasonable allocation of modeling resources. Deeply focusing on key process nodes means finding those nodes that play a decisive role in the entire production process, such as key processing links, hubs for material transmission, etc. In the process of equipment modeling, fine control of granularity is very important. For important equipment, the model should be constructed as detailed as possible, accurate to the details of each component; for some relatively minor equipment, the model can be appropriately simplified under the premise of ensuring accuracy to improve modeling efficiency.
After completing the modeling, it is crucial to render the static model according to the actual production process. Through advanced graphics rendering technology, the model is given a realistic appearance, making it visually highly similar to the real equipment and scene. At the same time, precise motion driving technology is used to simulate the operation of the equipment in the actual production process, such as the start, stop, and speed change of the equipment, so as to achieve a full and high restoration of the real production scene, providing a solid foundation for subsequent production simulation and analysis.
Establish an analysis model for equipment: Ground dynamic equipment and static equipment occupy a core position in the management of the entire life cycle of equipment. From the purchase and selection of equipment, installation and commissioning, to daily operation and maintenance, performance optimization, and finally scrapping, each stage requires refined management. In this process, it is a key step to clarify the equipment that is managed with the help of digital twin technology. Like the external transport pump, it is responsible for transporting the produced products to the designated location, and its operating status directly affects the transportation efficiency and quality of the products; the water injection pump plays a key role in the water injection process, which is related to the pressure balance of the entire production system and the replenishment of formation energy.
In actual operation, it is of great significance to actively access the diagnostic system provided by the equipment manufacturer. These diagnostic systems are usually developed by the manufacturer based on its own technical accumulation and in-depth understanding of the equipment, and can provide basic parameters of equipment operation, fault warning and other information. By connecting with these systems, the real-time status data of the equipment can be quickly obtained, providing first-hand information for the maintenance and management of the equipment.
At the same time, attaching great importance to the construction and application of data-driven diagnostic models is an important means to improve the level of equipment management. With the development of technologies such as big data and artificial intelligence, a diagnostic model that can accurately reflect the operating laws of the equipment can be established by using massive equipment operation data. These models can predict possible equipment failures in advance by analyzing multi-dimensional data such as vibration, temperature, and pressure of the equipment, and issue early warning information in time, thereby avoiding production interruptions caused by equipment failures.
For the pipeline production link, it is essential to focus on introducing professional pipeline analysis models. As an important channel for oil and gas transportation, the safety and stability of the pipeline's operating status are directly related to the normal operation of the entire production system. Professional pipeline analysis models can accurately simulate and analyze the stress distribution, corrosion, flow pressure changes, etc. of the pipeline, timely discover potential risks in the pipeline, provide a scientific basis for pipeline maintenance, repair and replacement, and effectively improve the monitoring and analysis accuracy of the pipeline system's operating status.
Linkage between upstream and downstream of ground production: The ground production process is a complete and closely related system that starts from wellhead production, and goes through pipeline transportation, metering, pressurization, oil, gas and water separation, and finally external transmission. In this system, each link is indispensable, and there is a close logical connection and material and energy exchange between each other.
When building business processes, comprehensive consideration of the upstream and downstream linkage relationship between wellbore, pipeline and station is the key to ensuring smooth production. As the source of oil and gas resource extraction, the extraction efficiency and quality of the wellbore directly affect the subsequent production links. The pipeline is responsible for transporting the oil and gas produced from the wellbore to various stations. The pipeline's transportation capacity, transportation safety and other factors are crucial to the entire production process. As an important place for processing and dispensing oil and gas, the station's internal process flow and equipment operation status are also closely linked to the upstream and downstream links.
Through scientific and reasonable process design, the equipment in different production process links is organically connected. For example, in the metering link, accurate metering equipment can provide accurate data support for subsequent production scheduling; the equipment in the boosting link needs to be reasonably adjusted according to the pipeline's delivery pressure and flow requirements to ensure that oil and gas can be smoothly transported to the next link. Through this upstream and downstream linkage analysis, the entire production process can be fully monitored and optimized. When an abnormal situation is found in a certain link, the problem can be quickly located, and by adjusting the operating parameters of the upstream and downstream equipment, the dynamic balance and optimized scheduling of production can be achieved, potential problems in the production process can be discovered in time, the overall production efficiency and safety can be improved, the production cost can be reduced, and the continuous and stable progress of production activities can be ensured.