An oilfield gathering system energy optimization method

Abstract

The present application relates to the technical field of energy optimization of gathering and transportation system, and particularly relates to an energy optimization method of oilfield gathering and transportation system. The method comprises the following steps: determining a target research area and obtaining basic data of the target research area, and establishing a gathering and transportation system process model according to the basic data; obtaining and checking pipeline data of the target research area, and correcting model parameters of the gathering and transportation system process model according to the checked pipeline data; calculating energy consumption of the target research area under different water mixing temperatures according to the corrected calculation gathering and transportation system process model; obtaining target optimization parameters under different water mixing temperatures according to the calculation results, and formulating a gathering and transportation system optimization operation model according to the target optimization parameters; implementing the gathering and transportation system optimization operation model on the target research area, and simultaneously conducting on-site supervision and inspection on the target research area, and tracking and recording operation effects. The energy optimization method of oilfield gathering and transportation system provided by the present application can improve the precise management of energy consumption of the gathering and transportation system, and promote the development of annual energy saving and consumption reduction work.

Description

Technical Field

[0001] This invention relates to the field of energy optimization technology for gathering and transportation systems, and in particular to an energy optimization method for oilfield gathering and transportation systems. Background Technology

[0002] Currently, the main method for optimizing and controlling the parameters of oil transfer stations is to adopt a cooling-based gathering and transportation management approach. In actual production, considering the different process flows of each station and taking into account objective factors such as the actual single-well gathering and transportation conditions, external temperature drop, and instrument errors, the optimization and control of oil transfer station parameters includes two main control nodes: the inlet manifold of the oil transfer station and the external temperature.

[0003] The survey revealed differences in the gathering and transportation radius, water content of produced fluids, and associated gas production at various oilfield production plants' transfer stations, leading to varying energy consumption characteristics. Considering the unique characteristics of each transfer station, combined with winter gas shortages and electricity consumption indicators, it is necessary to classify each transfer station and emphasize personalized energy consumption management. Therefore, an energy optimization method for oilfield gathering and transportation systems is proposed. Summary of the Invention

[0004] (a) Technical problems to be solved

[0005] This invention provides an energy optimization method for oilfield gathering and transportation systems to overcome the problems in the prior art, which are caused by many uncertainties such as the size of the gathering and transportation radius of each oil transfer station, the water content of the produced fluid, and the amount of associated gas production. These uncertainties make it impossible to clearly count the energy consumption of the oilfield gathering and transportation system, resulting in the inability to specifically analyze and solve problems when energy consumption issues arise in the oilfield gathering and transportation system.

[0006] (II) Technical Solution

[0007] To address the above problems, this invention provides an energy optimization method for oilfield gathering and transportation systems, comprising:

[0008] Step S1: Determine the target study area and obtain the basic data of the target study area, and establish a process model of the gathering and transportation system based on the basic data;

[0009] Step S2: Obtain and verify the pipeline data of the target study area determined in Step S1, and correct the model parameters of the gathering and transportation system process model determined in Step S1 based on the verified pipeline data;

[0010] Step S3: Calculate the energy consumption at different water-mixing temperatures in the target study area determined in Step S1 based on the revised calculation model of the gathering and transportation system in Step S2;

[0011] Step S4: Obtain the target optimization parameters at different water mixing temperatures based on the calculation results determined in Step S3, and formulate an optimized operation model for the gathering and transportation system based on the target optimization parameters;

[0012] Step S5: Implement the optimized operation model of the collection and transportation system determined in step S4 for the target study area determined in step S1, and simultaneously conduct on-site supervision and inspection of the target study area to track and record the operation effect.

[0013] Preferably, in step S1, the basic data includes the number of oil wells in the target study area, the number of metering rooms in the target study area, the number of oil transfer stations in the target study area, and the number of pipelines in the target study area.

[0014] Preferably, in step S1, the gathering and transportation system process model includes the topological relationship of oil wells, metering rooms, oil transfer stations, water mixing pumps, heating furnaces and pipelines in the target study area, and the pressure drop and temperature drop of the target study area are dynamically simulated using simulation software.

[0015] Preferably, in step S2, the pipe data includes the pipe inner diameter and the overall heat transfer coefficient.

[0016] Preferably, in step S2, the verification process of the pipeline data involves calculating the coefficient by back-calculating the actual inner diameter and temperature after scaling and waxing of the pipeline.

[0017] Preferably, in step S3, the water mixing temperature ranges from 60°C to 70°C, and the energy consumption includes electrical energy consumption, thermal energy consumption, and cost consumption.

[0018] Preferably, in step S4, the target optimization parameters include the water injection volume, equipment start-up and shutdown mode, operating parameters, and seasonal change adjustment node parameters for each oil well in the target study area.

[0019] Preferably, in step S4, the optimized operation model of the gathering and transportation system is generated by simulation modeling software, and the optimized operation model of the gathering and transportation system includes screening of low-temperature gathering and transportation wells, optimization of system energy efficiency, and adjustment of dynamic parameters.

[0020] Preferably, in step S5, the implementation object of the optimized operation model of the gathering and transportation system includes the dehydration station, and the implementation process of the optimized operation model of the gathering and transportation system is as follows: by ensuring the global energy supply and demand balance in the target study area in real time, the inlet liquid temperature of the dehydration station is controlled by the global energy supply and demand balance.

[0021] Preferably, in step S5, the formula for calculating the global energy supply and demand balance is: Demand energy = Supply energy - Consumption energy.

[0022] (III) Beneficial Effects

[0023] The energy optimization method for oilfield gathering and transportation systems provided by this invention involves: determining the study area and obtaining its basic data; establishing a process model for the gathering and transportation system based on the basic data; acquiring and verifying the pipeline data for the study area; correcting the model parameters of the process model based on the verified pipeline data; calculating the energy consumption of the study area under different water-injection temperatures based on the corrected process model; obtaining the target optimization parameters under different water-injection temperatures based on the calculation results; formulating an optimized operation model for the gathering and transportation system based on the target optimization parameters; implementing the optimized operation model for the gathering and transportation system in the study area; and simultaneously conducting on-site supervision and inspection of the study area, tracking and recording the operational effects. This method effectively improves the precision management of energy consumption in the gathering and transportation system and promotes the implementation of energy conservation and consumption reduction work throughout the year. Attached Figure Description

[0024] Figure 1 This is a flowchart of an energy optimization method for an oilfield gathering and transportation system according to an embodiment of the present invention. Detailed Implementation

[0025] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0026] Figure 1 This is a flowchart of the energy optimization method for oilfield gathering and transportation systems according to an embodiment of the present invention, such as... Figure 1 As shown, the present invention provides an energy optimization method for an oilfield gathering and transportation system, comprising:

[0027] Step S1: Determine the target study area and obtain the basic data of the target study area, and establish a process model of the gathering and transportation system based on the basic data;

[0028] Step S2: Obtain and verify the pipeline data of the target study area determined in Step S1, and correct the model parameters of the gathering and transportation system process model determined in Step S1 based on the verified pipeline data;

[0029] Step S3: Calculate the energy consumption at different water-mixing temperatures in the target study area determined in Step S1 based on the revised calculation model of the gathering and transportation system in Step S2;

[0030] Step S4: Obtain the target optimization parameters at different water mixing temperatures based on the calculation results determined in Step S3, and formulate an optimized operation model for the gathering and transportation system based on the target optimization parameters;

[0031] Step S5: Implement the optimized operation model of the collection and transportation system determined in step S4 for the target study area determined in step S1, and simultaneously conduct on-site supervision and inspection of the target study area to track and record the operation effect.

[0032] In this optimization method, the basic data in S1 includes the number of oil wells, metering stations, transfer stations, and pipelines in the target study area. In practical applications, the gathering and transportation system process model includes the topological relationships of oil wells, metering stations, transfer stations, water mixing pumps, heaters, and pipelines within the target study area, and uses simulation software to dynamically simulate pressure and temperature drops in the target study area.

[0033] In practical applications, the pipe data in step S2 includes the pipe's inner diameter and overall heat transfer coefficient. It is important to note that the verification process for the pipe data involves calculating the coefficient back from the actual inner diameter and temperature after scaling and waxing.

[0034] In this optimization method, in step S3, the water mixing temperature ranges from 60℃ to 70℃, and the energy consumption includes electrical energy consumption, thermal energy consumption, and cost consumption.

[0035] In practical applications, in step S4, the target optimization parameters include the water injection rate, equipment start-up and shutdown methods, operating parameters, and seasonal adjustment node parameters for each oil well in the target study area. In this method, the optimized operation model of the gathering and transportation system is generated using simulation modeling software. This optimized operation model includes low-temperature gathering and transportation well screening, system energy efficiency optimization, and dynamic parameter adjustment.

[0036] In this optimization method, in step S5, the implementation object of the optimized operation model of the gathering and transportation system includes the dehydration station. The implementation process of the optimized operation model of the gathering and transportation system is as follows: by ensuring the global energy supply and demand balance in the target study area in real time, the inlet liquid temperature of the dehydration station is controlled by the global energy supply and demand balance.

[0037] It is important to note that the formula for calculating the global energy supply and demand balance is: Energy Demand = Energy Supply - Energy Consumption. In practical applications, energy supply includes produced fluid, water mixing pumps, and heating furnaces; energy consumption includes pipeline pressure drop and temperature drop; and energy demand is the temperature of the fluid arriving at the dehydration station, which is the required temperature for oil-water treatment.

[0038] This invention provides an energy optimization method for oilfield gathering and transportation systems. By constructing a process model of the gathering and transportation system and combining hydraulic and thermal parameter verification with energy consumption optimization, a personalized operation strategy of "one station, one plan" is generated. This method breaks through traditional management boundaries, achieves global energy supply and demand balance, significantly reduces the energy consumption of the gathering and transportation system, and is suitable for precise energy-saving management of differentiated oil transfer stations. The working principle of this oilfield gathering and transportation system energy optimization method is described in detail below:

[0039] Step 1: Determine the target study area and obtain basic data for the target study area, and establish a process model for the gathering and transportation system based on the basic data;

[0040] Step 2: Obtain and verify the pipeline data of the target study area, and correct the model parameters of the gathering and transportation system process model based on the verified pipeline data;

[0041] Step 3: Calculate the energy consumption of the target study area at different water-mixing temperatures based on the revised calculation and transportation system process model;

[0042] Step 4: Obtain the target optimization parameters at different water mixing temperatures based on the calculation results, and formulate an optimized operation model for the gathering and transportation system based on the target optimization parameters;

[0043] Step 5: Implement the optimized operation model of the gathering and transportation system in the target study area, and simultaneously conduct on-site supervision and inspection of the target study area to track and record the operation effect.

[0044] In this embodiment, a "data source file" is created based on a data template. Construction and operational information related to oil wells, metering rooms, transfer stations, and all pipelines is input into an Excel spreadsheet file. The data source file is imported into the software to construct a process model for the gathering and transportation system. Once the process model is built, simulation calculations can be performed at any time based on actual on-site operating conditions. Selective output of the calculation results provides information on the pressure drop, temperature drop, and operational status of each pipeline and node. By analyzing the operational parameters of the pipelines and nodes, thermal weaknesses and sections with excessive pressure drops in the off-site oil gathering system can be identified.

[0045] In practical applications, the inner diameter of pipelines that have been in operation for many years and have developed severe scaling and wax buildup is checked based on the actual pressure drop of the pipelines. The total heat transfer coefficient of each pipeline is calculated by back-calculating the actual water mixing and return oil temperatures, the water mixing and return oil temperatures in each metering room, and the oil outlet temperature at each wellhead.

[0046] In this embodiment, the verified pipe inner diameter and overall heat transfer coefficient are used to replace the preset parameters in the model to improve the accuracy of the simulation calculation. Based on this, the operating parameters of the water mixing system are optimized, and software is used to calculate the water mixing volume, power consumption, heat consumption, and energy cost of a single well corresponding to different water mixing temperatures.

[0047] In practical applications, optimized operation schemes are selected for different water injection temperatures based on the principles of lowest energy consumption and lowest cost. These optimized operation schemes are the target optimization parameters, which include the water injection volume, equipment start-up and shutdown methods, operating parameters, and seasonal adjustment node parameters for each oil well in the target study area. By comparing the energy consumption and management requirements of different target optimization parameters, monthly implementation plans are developed in a personalized manner, thus establishing an optimized operation model for the gathering and transportation system. In this model, the water injection volume of each oil gathering ring, the start-up and shutdown methods of each piece of equipment, and the operating parameters are clearly defined to guide operators in on-site control.

[0048] It should be noted that the oil collection system optimization operation model involves the comprehensive energy consumption minimum calculation formula and the cost energy consumption minimum calculation formula. The comprehensive energy consumption includes electrical energy consumption and thermal energy consumption. The oil collection system optimization operation model uses these two calculation formulas to provide guidance for energy optimization.

[0049] The formula for calculating the lowest overall energy consumption is:

[0050]

[0051] Furthermore, the formula for calculating the lowest energy consumption cost is:

[0052]

[0053] In practical applications, the simulation software functions involved in the oil gathering system optimization operation model package include basic data management of the gathering and transportation system, production operation data management, system simulation calculation, screening of cryogenic gathering and transportation wells, and system energy efficiency optimization. Through modeling, simulation, and optimization, the optimal operating scheme is determined to reduce system operating energy consumption.

[0054] In this embodiment, taking the Pubei No. 11 oil transfer station as an example, a process model of the gathering and transportation system is constructed. The water addition temperature of 60℃-70℃ is calculated. According to the calculation results, a water addition temperature of 62℃ and a water addition rate of 41.45m3 / h are more reasonable. An optimized operation model of the gathering and transportation system is built. The optimized operation model of the gathering and transportation system clarifies the water addition rate of each well and the operating parameters of each piece of equipment to meet the production requirements of stable gathering and transportation, realizing "one parameter per well, one plan per station". On-site supervision and inspection of the optimized operation model of the gathering and transportation system during operation are carried out to track the implementation of the energy optimization plan of the oil transfer station and complete the energy optimization plan tracking operation inspection report.

[0055] In practical applications, the approach is to implement precise management of system nodes, with the goal of controlling production energy consumption indicators. This approach departs from the previous management method of only implementing cooling and controlling single-loop return oil temperature in summer. Instead, it innovatively applies a "one station, one plan" operation management model, refines heating furnace management measures, and taps the energy-saving potential of transfer stations. The focus is on controlling node parameters as the entry point, key focus, and benefit growth point for energy conservation in the gathering and transportation system. The work area and process research institute formulate node targets, improve seasonal production management systems, and production units implement "one station, one plan" management measures. This effectively improves the precision management of energy consumption in the gathering and transportation system and promotes energy conservation and consumption reduction throughout the year. In the first half of 2023, the energy consumption indicators in the Pubei area, which adopted a "dual-track operation," continued to improve, achieving year-on-year electricity savings of 282,000 kWh and gas savings of 846,000 cubic meters.

[0056] It should be noted that this embodiment, while meeting the production needs of the downstream dehydration station, derives the minimum energy supply for each upstream link step by step, and can effectively achieve production operation with the lowest energy consumption, tap the potential for energy reduction in the gathering and transportation system, and establish optimized control of gathering and transportation parameters.

[0057] In practical applications, by statistically analyzing the current energy consumption status of the Putaohua Oilfield's gathering and transportation system, the energy consumption trends of each transfer station in winter and summer were clarified, the energy-saving and consumption-reducing potential of the gathering and transportation system was explored, optimized operation methods were proposed, and a new model for the management of gathering and transportation parameters at transfer stations was created. The application effects of energy optimization technology in the gathering and transportation system were evaluated and understood, the electricity-saving and gas-saving potential of the Putaohua Oilfield was explored, and a new management model of "one parameter per loop, one solution per station" was achieved. This indicates that energy-saving management is moving towards precision, laying the foundation for large-scale promotion.

[0058] The energy optimization method for oilfield gathering and transportation systems provided by this invention involves: determining the study area and obtaining its basic data; establishing a process model for the gathering and transportation system based on the basic data; acquiring and verifying the pipeline data for the study area; correcting the model parameters of the process model based on the verified pipeline data; calculating the energy consumption of the study area under different water-injection temperatures based on the corrected process model; obtaining the target optimization parameters under different water-injection temperatures based on the calculation results; formulating an optimized operation model for the gathering and transportation system based on the target optimization parameters; implementing the optimized operation model for the gathering and transportation system in the study area; and simultaneously conducting on-site supervision and inspection of the study area, tracking and recording the operational effects. This method effectively improves the precision management of energy consumption in the gathering and transportation system and promotes the implementation of energy conservation and consumption reduction work throughout the year.

[0059] The above embodiments are only used to illustrate the present invention and are not intended to limit the present invention. Those skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, all equivalent technical solutions also fall within the scope of the present invention, and the patent protection scope of the present invention should be defined by the claims.

Claims

1. An energy optimization method for an oilfield gathering and transportation system, characterized in that, include: Step S1: Determine the target study area and obtain the basic data of the target study area, and establish a process model of the gathering and transportation system based on the basic data; Step S2: Obtain and verify the pipeline data of the target study area determined in Step S1, and correct the model parameters of the gathering and transportation system process model determined in Step S1 based on the verified pipeline data; Step S3: Calculate the energy consumption at different water-mixing temperatures in the target study area determined in Step S1 based on the revised calculation model of the gathering and transportation system in Step S2; Step S4: Obtain the target optimization parameters at different water mixing temperatures based on the calculation results determined in Step S3, and formulate an optimized operation model for the gathering and transportation system based on the target optimization parameters; Step S5: Implement the optimized operation model of the collection and transportation system determined in step S4 for the target study area determined in step S1, and simultaneously conduct on-site supervision and inspection of the target study area to track and record the operation effect.

2. The energy optimization method for oilfield gathering and transportation systems according to claim 1, characterized in that, In step S1, the basic data includes the number of oil wells in the target study area, the number of metering rooms in the target study area, the number of oil transfer stations in the target study area, and the number of pipelines in the target study area.

3. The energy optimization method for oilfield gathering and transportation systems according to claim 1, characterized in that, In step S2, the pipe data includes the pipe inner diameter and the overall heat transfer coefficient.

4. The energy optimization method for oilfield gathering and transportation systems according to claim 3, characterized in that, In step S2, the verification process of the pipeline data involves calculating the coefficients by using the actual inner diameter and temperature after scaling and waxing of the pipeline.

5. The energy optimization method for oilfield gathering and transportation systems according to claim 1, characterized in that, In step S3, the water mixing temperature ranges from 60°C to 70°C, and the energy consumption includes electrical energy consumption, thermal energy consumption, and cost consumption.

6. The energy optimization method for oilfield gathering and transportation systems according to claim 1, characterized in that, In step S4, the target optimization parameters include the water injection volume, equipment start-up and shutdown mode, operating parameters, and seasonal change adjustment node parameters for each oil well in the target study area.

7. The energy optimization method for oilfield gathering and transportation systems according to claim 1, characterized in that, In step S4, the optimized operation model of the gathering and transportation system is generated by simulation modeling software. The optimized operation model of the gathering and transportation system includes screening of low-temperature gathering and transportation wells, optimization of system energy efficiency, and adjustment of dynamic parameters.

8. The energy optimization method for oilfield gathering and transportation systems according to claim 1, characterized in that, In step S5, the implementation object of the optimized operation model of the gathering and transportation system includes the dehydration station. The implementation process of the optimized operation model of the gathering and transportation system is as follows: by ensuring the global energy supply and demand balance in the target study area in real time, the inlet liquid temperature of the dehydration station is controlled by the global energy supply and demand balance.

9. The energy optimization method for oilfield gathering and transportation systems according to claim 8, characterized in that, In step S5, the formula for calculating the global energy supply and demand balance is: Demand Energy = Supply Energy - Consumption Energy.

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