Mixing transportation system operation optimization method
By building simulation models and mathematical models in the oilfield collection and transmission system, and combining the Internet of Things and big data methods, the problems of optimization and energy consumption control of the collection and transmission system in the old oilfield area are solved, and efficient operation and energy consumption optimization of the collection and transmission system are achieved.
Patent Information
- Application Number
- CN202311591655.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-11-27
- Publication Date
- 2025-05-27
AI Technical Summary
The difficulty of optimizing the collection and transmission system in the old oilfield area has increased. The existing methods are time-consuming, difficult and time-efficient. It is difficult to learn manual and software calculation methods, which is inconvenient for application.
Using the VUE framework, SpringBoot framework and MyBatis framework, we will build a simulation model of the oilfield integrated transportation pipeline network and a mathematical model of equipment in the doped and transfer station. Combined with the Internet of Things and big data methods, we will realize intelligent analysis of the operating parameters of the connecting and transfer station of the integrated transportation system and the optimization of energy consumption.
Through programmatic and real-time methods, the operation of the collection and transmission system is optimized, energy consumption is reduced, analysis efficiency is improved, unreasonable parameter warning is provided, and comparison analysis is achieved between horizontal and vertical concurrent periods.
Smart Images
Figure CN120046281A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of the operation of the oilfield blending and transportation system, and particularly relates to an optimization method for the operation of the blending and transportation system. Background Art
[0002] The optimization of the gathering and transportation system in the old oilfield areas and the control of energy consumption have become more difficult; the gathering and transportation system is huge, and the annual funds for adjustment and modification are limited. The optimization of the old oilfield areas should be mainly based on on-site operation adjustment and supplemented by technical transformation adjustment. Continuously optimize and analyze the gathering and transportation, establish a gathering and transportation evaluation system, manually collect and sort out the system operation data every year for the energy consumption comparison and analysis of the gathering and transportation stations. It takes a long time, is difficult, and has poor timeliness. Summary of the Invention
[0003] In order to solve the above existing problems, the present invention proposes: an optimization method for the operation of the blending and transportation system. The VUE framework is selected at the front end to successfully display the data on the web page. The Spring Boot framework is selected for the software backend, and the MyBatis framework is selected for the database. A simulation model of the oilfield gathering and transportation pipeline network and a mathematical model of the equipment in the blending and transfer station are built.
[0004] Furthermore, analyze the branch trunk pipeline network, process flow, and oil product properties of the oilfield transfer station, and study and establish a pipeline thermal calculation model, a hydraulic calculation model, and an overall process calculation model of a single well + branch trunk pipeline network.
[0005] Furthermore, for the calculation model of the external transportation pipeline, combined with the actual production operation data, study and establish a process calculation model of the external transportation pipeline of the transfer station.
[0006] Furthermore, combined with the characteristics of energy-consuming equipment, study and establish a general simulation calculation model for the operation energy consumption of the blending and transfer station. By building a closed transfer station model and inputting the parameters of the equipment in the station, the calculation of the inlet temperature, inlet pressure, blending flow rate, blending temperature, blending pressure, and external transportation temperature is completed.
[0007] Furthermore, the mathematical model of the equipment in the blending and transfer station includes the mathematical models for optimizing the operation energy consumption of the oil gathering system in the blending and transfer station and the operation energy consumption of the external transportation pipeline.
[0008] Furthermore, through the mathematical model for optimizing the operation energy consumption of the oil gathering system in the blending and transfer station, combined with the off-station gathering and transportation pipeline network model, the optimization calculation of the blending flow rate and blending temperature is realized under the same inlet temperature.
[0009] Furthermore, through the mathematical model for optimizing the operation energy consumption of the external transportation pipeline, by inputting the parameters of the equipment at the first and last stations, the optimization calculation of the external transportation temperature is realized, and the system energy consumption is minimized.
[0010] Furthermore, the Internet of Things and big data methods are adopted to intelligently analyze the operation parameters of the gathering and transportation system transfer stations. The functional modules include: the gathering and transportation pipeline network calculation sub-module, the external transportation pipeline calculation sub-module, the energy consumption calculation sub-module of in-station equipment, and the energy consumption analysis and optimization sub-module, realizing the establishment of a visual gathering and transportation pipeline network model for the blending transfer station, the simulation calculation of the temperature, pressure, and energy consumption of each node in the gathering and transportation pipeline network, the optimization of the operation energy consumption of the blending flow rate and blending temperature, and the optimization function of the operation energy consumption of the external transportation pipeline.
[0011] The beneficial effects of the present invention are as follows: continuously optimizing and analyzing the gathering and transportation, establishing a gathering and transportation evaluation system, manually collecting and sorting system operation data every year for energy consumption comparison and analysis of gathering and transportation stations, which takes a long time, is difficult, and has poor timeliness. The present invention programs and makes the above work real-time, facilitating horizontal and vertical comparative analyses of different gathering and transportation stations in the oilfield in a timely manner to identify typical gathering and transportation stations for efficiency improvement.
[0012] The energy consumption of gathering and transportation stations is mainly concentrated in the off-station pipeline network. There are currently two calculation methods for optimizing the off-station pipeline network: manual and software. It is difficult for technical personnel in oil production plants to learn these two methods, which is not convenient for application. The invention of the operation optimization method for the gathering and transportation system improves the efficiency of manual analysis and reduces the difficulty; the calculation accuracy is between that of manual calculation and software such as OLGA; it provides early warnings for unreasonable parameters in the blending transportation system operation. BRIEF DESCRIPTION OF THE DRAWINGS
[0013] Figure 1 It is an operation parameter intelligent analysis operation interface diagram of the gathering and transportation system transfer station of the present invention.
[0014] Figure 2 It is a visual gathering and transportation pipeline network model diagram of the gathering and transportation system transfer station of the present invention.
[0015] Figure 3 It is an operation early warning analysis interface diagram of the gathering and transportation system transfer station of the present invention.
[0016] Figure 4 It is an energy consumption analysis model diagram of the gathering and transportation system transfer station of the present invention.
[0017] Figure 5 It is an in-station equipment model diagram of the gathering and transportation system transfer station of the present invention. DETAILED DESCRIPTION OF THE INVENTION
[0018] To make the technical means and the achieved purpose of the present invention easy to understand, the present invention is further described below in conjunction with the specific embodiments. An operation optimization method for a blending transportation system selects the VUE framework at the front end to successfully display data on the web page, selects the SpringBoot framework for the software backend, and selects the MyBatis framework for the database, and constructs a simulation model of the oil gathering and transportation pipeline network and a mathematical model of the in-station equipment of the blending transfer station.
[0019] Among them, analyze the gathering and transportation pipeline network, process flow, and physical properties of oil products in the oilfield transfer station, and study and establish a pipeline thermal calculation model, a hydraulic calculation model, and an overall process calculation model for a single well + branch main pipeline network.
[0020] Among them, for the calculation model of the external transmission pipeline, combined with the actual production operation data, study and establish a process calculation model for the external transmission pipeline of the transfer station.
[0021] Among them, combined with the characteristics of energy-consuming equipment, study and establish a general simulation calculation model for the operation energy consumption of the mixing and transfer station. By building a closed transfer station model and inputting the equipment parameters in the station, calculate the inlet temperature, inlet pressure, mixing flow rate, mixing temperature, mixing pressure, and external transmission temperature.
[0022] Among them, the mathematical models of the equipment in the mixing and transfer station include the mathematical models for optimizing the operation energy consumption of the oil gathering system in the mixing and transfer station and the operation energy consumption of the external transmission pipeline.
[0023] Among them, through the mathematical model for optimizing the operation energy consumption of the oil gathering system in the mixing and transfer station, combined with the model of the off-station branch main pipeline network, realize the optimized calculation of the mixing flow rate and mixing temperature at the same inlet temperature.
[0024] Among them, through the mathematical model for optimizing the operation energy consumption of the external transmission pipeline, by inputting the equipment parameters of the first and last stations, realize the optimized calculation of the external transmission temperature and minimize the system energy consumption.
[0025] Among them, adopt the Internet of Things and big data methods to intelligently analyze the operation parameters of the transfer station in the gathering and transportation system. The functional modules include: a calculation sub-module for the gathering and transportation pipeline network, a calculation sub-module for the external transmission pipeline, an energy consumption calculation sub-module for the equipment in the station, and an energy consumption analysis and optimization sub-module. Realize the establishment of a visual gathering and transportation pipeline network model for the mixing and transfer station, the simulation calculation of the temperature, pressure, and energy consumption of each node in the gathering and transportation pipeline network, the optimization of the operation energy consumption of the mixing flow rate and mixing temperature, and the optimization of the operation energy consumption of the external transmission pipeline.
[0026] Select the VUE framework for the front-end technology to successfully display the data on the web page, select the SpringBoot framework for the software back-end technology, and select the MyBatis framework for the database to realize the simulation model of the oilfield gathering and transportation pipeline network, the mathematical models of the equipment in the mixing and transfer station, data visualization, early warning of unreasonable parameters, and comparative analysis of energy consumption before and after optimization and adjustment.
[0027] 1. Calculation Model of Gathering and Transportation Pipeline Network
[0028] Analyze the oilfield gathering and transportation pipeline network, process flow, and physical properties of oil products, and study and establish a pipeline thermal calculation model, a hydraulic calculation model, and an overall process calculation model for the main and branch pipeline networks. For the calculation model of the external transmission pipeline, combined with the actual production operation data, study and establish a process calculation model for the external transmission pipeline of the transfer station. On this basis, combined with the characteristics of energy-consuming equipment, study and establish a general simulation calculation model for the operation energy consumption of the blending and transfer station. By building a closed transfer station model and inputting the parameters of the equipment in the station, the calculation of the inlet temperature, inlet pressure, blending flow rate, blending temperature, blending pressure, and external transmission temperature can be completed.
[0029] 2. Research on the mathematical models of the equipment in the blending and transfer station
[0030] Including the mathematical models for optimizing the operation energy consumption of the oil gathering system in the blending and transfer station and the operation energy consumption of the external transmission pipeline. Through the mathematical model for optimizing the operation energy consumption of the oil gathering system in the blending and transfer station, combined with the model of the main and branch pipeline networks outside the station, the optimized calculation of the blending flow rate and blending temperature can be realized under the same inlet temperature; through the mathematical model for optimizing the operation energy consumption of the external transmission pipeline, by inputting the parameters of the equipment at the first and last stations, the optimized calculation of the external transmission temperature can be realized, thereby minimizing the system energy consumption to the greatest extent.
[0031] 3. Development of intelligent analysis software for the operation parameters of the transfer stations in the gathering and transportation system
[0032] Adopt the Internet of Things and big data methods to conduct intelligent analysis on the operation parameters of the transfer stations in the gathering and transportation system. The main functional modules include: the calculation sub-module of the gathering and transportation pipeline network, the calculation sub-module of the external transmission pipeline, the calculation sub-module of the energy consumption of the equipment in the station, and the energy consumption analysis and optimization sub-module. Through the realization of these functions, the establishment of a visual gathering and transportation pipeline network model for the blending and transfer station, the simulation calculation of the temperature, pressure, and energy consumption of each node in the gathering and transportation pipeline network, the optimization of the operation energy consumption such as the blending flow rate and blending temperature, and the optimization of the operation energy consumption of the external transmission pipeline are achieved.
[0033] As Figure 1 shown, it is the operation interface.
[0034] As Figure 2 shown, it is the visual gathering and transportation pipeline network model, which is used for the simulation of the gathering and transportation pipeline network and the optimization of operation parameters.
[0035] As Figure 3 shown, it is the warning analysis, which is used for the analysis of unreasonable parameters.
[0036] As Figure 4 shown, it is the energy consumption analysis model, which is used for the horizontal and vertical comparison of operation energy consumption.
[0037] As Figure 5 shown, it is the equipment model in the transfer station, which is used for the simulation and optimization of node parameters.
[0038] The above are only the preferred specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and concept of the present invention, making equivalent substitutions or changes should be covered within the protection scope of the present invention.
Claims
1. An optimization method for the operation of an admixture transportation system, characterized in that, the VUE framework is selected at the front end to successfully display data on the web page, the Spring Boot framework is selected for the software backend, and the MyBatis framework is selected for the database. An oilfield gathering and transportation pipeline network simulation model and a mathematical model of the equipment in the admixture transportation transfer station are built.
2. The optimization method for the operation of an admixture transportation system according to claim 1, characterized in that, the branch trunk pipeline network, process flow and physical properties of the oil products of the oilfield transfer station are analyzed, and a pipeline thermal calculation model, a hydraulic calculation model and an overall process calculation model of a single well + branch trunk pipeline network are established through research.
3. The optimization method for the operation of an admixture transportation system according to claim 2, characterized in that, aiming at the calculation model of the external transportation pipeline, combined with the actual production operation data, a process calculation model of the external transportation pipeline of the transfer station is established through research.
4. The optimization method for the operation of an admixture transportation system according to claim 3, characterized in that, combined with the characteristics of energy-consuming equipment, a general simulation calculation model of the operation energy consumption of the admixture transportation transfer station is established through research. By building a closed transfer station model and inputting the equipment parameters in the station, the calculation of the inlet temperature, inlet pressure, admixture transportation flow rate, admixture transportation temperature, admixture transportation pressure and external transportation temperature is completed.
5. The optimization method for the operation of an admixture transportation system according to claim 4, characterized in that, the mathematical model of the equipment in the admixture transportation transfer station includes a mathematical model for optimizing the operation energy consumption of the oil gathering system in the admixture transportation transfer station and a mathematical model for optimizing the operation energy consumption of the external transportation pipeline.
6. The optimization method for the operation of an admixture transportation system according to claim 5, characterized in that, through the mathematical model for optimizing the operation energy consumption of the oil gathering system in the admixture transportation transfer station, combined with the off-station gathering and transportation pipeline network model, the optimization calculation of the admixture transportation flow rate and admixture transportation temperature is realized under the same inlet temperature.
7. The optimization method for the operation of an admixture transportation system according to claim 6, characterized in that, through the mathematical model for optimizing the operation energy consumption of the external transportation pipeline, by inputting the equipment parameters of the first and last stations, the optimization calculation of the external transportation temperature is realized, and the system energy consumption is minimized to the greatest extent.
8. The optimization method for the operation of an admixture transportation system according to claim 7, characterized in that, the Internet of Things and big data methods are adopted to intelligently analyze the operation parameters of the transfer station in the gathering and transportation system. The functional modules include: a gathering and transportation pipeline network calculation sub-module, an external transportation pipeline calculation sub-module, an in-station equipment energy consumption calculation sub-module and an energy consumption analysis and optimization sub-module, realizing the establishment of a visual gathering and transportation pipeline network model of the admixture transportation transfer station, the simulation calculation of the temperature, pressure and energy consumption of each node of the gathering and transportation pipeline network, the optimization of the operation energy consumption of the admixture transportation flow rate and admixture transportation temperature, and the optimization of the operation energy consumption of the external transportation pipeline.