A method and device for optimizing energy consumption of oilfield water injection system

Abstract

The present invention provides an oilfield water injection system energy consumption optimization method and device, which relates to the technical field of oilfield water injection system energy consumption, and the specific steps include: S1. Collecting water treatment system data, water pump system data and water injection well system data in the oilfield water injection system, wherein the water treatment system data includes water quality parameters and environmental parameters, the water quality parameters include pH value and suspended matter content, the environmental parameters include temperature and humidity, the water pump system data includes pipeline pressure, fluid flow rate, pipeline diameter and running time, and the water injection well system data includes wellhead pressure parameters and formation parameters. By collecting water treatment system data, water pump system data and water injection well system data in the oilfield water injection system, the present invention can comprehensively and accurately evaluate the energy consumption of the oilfield water injection system, and can also determine the optimization priority, and then give priority to optimizing the system with large energy consumption, so that the optimization work is more targeted and efficient.

Description

Technical Field

[0001] The invention relates to the technical field of energy consumption optimization of oil field water injection systems, and in particular to an energy consumption optimization method and device for oil field water injection systems. Background Art

[0002] At present, oilfield water injection is one of the important means to supplement energy to the formation and improve the recovery rate during the oilfield development process. Through the oilfield water injection system, water with the required quality can be injected from the water injection well into the oil layer to maintain the oil layer pressure and realize oilfield water injection. Among them, the energy consumption of the oilfield water injection system is huge, accounting for more than 40% of the total energy consumption in the oilfield development process. Therefore, the energy consumption optimization of the oilfield water injection system is of great significance to reducing the total energy consumption in the oilfield development process.

[0003] In the prior art, the publication number CN113700458B discloses an energy consumption optimization method and device for an oilfield water injection system, which belongs to the field of oilfields. The method includes: simplifying a plurality of first water injection nodes included in the first oilfield water injection system to be optimized to obtain a plurality of second water injection nodes; determining a plurality of water injection base rings composed of a plurality of water injection pipes; determining a second oilfield water injection system composed of a plurality of water injection base rings; taking the operating parameters of each water injection pump included in the plurality of second water injection nodes as variables, and taking the minimum total energy consumption of the second oilfield water injection system as the goal, establishing an energy consumption optimization model for the second oilfield water injection system; constructing an energy balance model for the second oilfield water injection system according to the flow in the water injection pipe, simulating the second oilfield water injection system through the energy balance model, and determining the operating parameters of each water injection pump that meets the energy consumption optimization model; since the dimension of the energy balance model is reduced, the efficiency and accuracy of the energy consumption optimization of the oilfield water injection system are improved.

[0004] However, there are still the following deficiencies: As can be seen from the above statements, during the optimization, on the one hand, there are problems of incomplete data and inaccurate calculations; on the other hand, there is no detection of the energy consumption of specific equipment or systems in the oilfield water injection system that need to be optimized, resulting in a lack of specificity in the optimization work and the inability to reduce energy consumption in the most effective and fastest way.

[0005] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0006] The object of the present invention is to provide a method and device for optimizing energy consumption of an oilfield water injection system to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A method and system for coal mine supervision based on video images, the specific steps include:

[0009] S1. Collect water treatment system data, water pump system data and water injection well system data in the oil field water injection system, wherein the water treatment system data includes water quality parameters and environmental parameters, the water quality parameters include pH value and suspended matter content, the environmental parameters include temperature and humidity, the water pump system data includes pipeline pressure, fluid flow rate, pipeline diameter and operation time, the water injection well system data includes wellhead pressure parameters and formation parameters, the wellhead pressure parameters include water injection wellhead pressure, water injection volume of water injection well and oil wellhead pressure, and the formation parameters include formation permeability and porosity;

[0010] S2. Process and analyze the water quality parameters and environmental parameters to generate a water treatment system coefficient, establish a linear regression equation between the water treatment system coefficient and the operating energy consumption of the water treatment system, and obtain the operating energy consumption of the water treatment system based on the water treatment system coefficient;

[0011] S3. Process and analyze the water pump system data to generate a water pump system pressure coefficient, and generate the operating energy consumption of the water pump system based on the water pump system pressure coefficient;

[0012] S4. Processing and analyzing the water injection well system data to generate a water injection well system pressure coefficient, and generating the operating energy consumption of the water injection well system based on the water injection well system pressure coefficient;

[0013] S5. Process the operating energy consumption of the water treatment system and the historical average operating energy consumption of the water treatment system to generate the energy consumption difference of the water treatment system, process the operating energy consumption of the water pump system and the historical average operating energy consumption of the water pump system to generate the energy consumption difference of the water pump system, process the operating energy consumption of the water injection well system and the historical average operating energy consumption of the water injection well system to generate the energy consumption difference of the water injection well system;

[0014] S6. Compare the energy consumption differences of the water treatment system, the energy consumption differences of the water pump system and the energy consumption differences of the water injection well system, and determine the order of optimization of the oilfield water injection system according to the order of the difference sizes.

[0015] Furthermore, the water quality parameters and environmental parameters are processed and analyzed to generate the water treatment system coefficients according to the following formula:

[0016]

[0017] Among them, S is the water treatment system coefficient, which represents the combined influence of water quality parameters and environmental parameters, pH is the pH value of water, which refers to the negative logarithm of the hydrogen ion concentration in water, T is the ambient temperature of the water treatment system, H is the ambient humidity of the water treatment system, and C is the content of suspended solid particles in water.

[0018] Furthermore, a linear regression equation is established between the water treatment system coefficient and the operating energy consumption of the water treatment system. Based on the water treatment system coefficient, the process of obtaining the operating energy consumption of the water treatment system is as follows:

[0019] E1=β0-β1·S+ò

[0020] Among them, E1 is the operating energy consumption of the water treatment system, S represents the coefficient of the water treatment system, β0 is the intercept term, β1 is the coefficient of the linear regression model, and ò is the error term.

[0021] Furthermore, the water pump system data is processed and analyzed to generate the water pump system pressure coefficient, based on the following formula:

[0022]

[0023] Among them, P is the pressure coefficient of the water pump system, P d is the pipeline pressure, V is the fluid flow rate, D is the pipeline diameter, YS is the running time, α i is the coefficient of the pipe diameter of the i-th sample, β1 is the order of magnitude of the pressure coefficient, γ is a constant term, and n is 4.

[0024] Furthermore, based on the pressure coefficient of the water pump system, the operating energy consumption of the water pump system is generated according to the following formula:

[0025] E2=k·P

[0026] Among them, E2 is the operating energy consumption of the water pump system, and k is the proportional coefficient, which indicates the influence of the water pump system pressure coefficient P on the operating energy consumption E2 of the water pump system.

[0027] Furthermore, the water injection well system data is processed and analyzed to generate the water injection well system pressure coefficient, based on the following formula:

[0028]

[0029] Among them, Z is the pressure coefficient of the water injection well system, P w is the injection wellhead pressure, Q w is the water injection volume of the injection well, P o is the wellhead pressure, r i is the formation permeability of the i-th sample, φ is the formation porosity, β2 is the order of magnitude of the pressure coefficient of the injection well system, and m is 5.

[0030] Furthermore, based on the pressure coefficient of the water injection well system, the operating energy consumption of the water injection well system is generated according to the following formula:

[0031]

[0032] Among them, E3 is the operating energy consumption of the water injection well system, and μ is a constant.

[0033] Furthermore, the operating energy consumption of the water treatment system and the historical average operating energy consumption of the water treatment system are processed to generate the energy consumption difference of the water treatment system, the operating energy consumption of the water pump system and the historical average operating energy consumption of the water pump system are processed to generate the energy consumption difference of the water pump system, and the operating energy consumption of the water injection well system and the historical average operating energy consumption of the water injection well system are processed to generate the energy consumption difference of the water injection well system, and the formulas are as follows:

[0034]

[0035]

[0036] in, is the historical average operating energy consumption of the water treatment system, E i is the historical operating energy consumption value of the water treatment system of the i-th sample, n is the number of samples, C1 is the energy consumption difference of the water treatment system, is the historical average operating energy consumption of the water pump system, E j is the historical operating energy consumption value of the water pump system of the jth sample, C2 is the energy consumption difference of the water pump system, is the historical average operating energy consumption of the water injection well system, E z is the historical operating energy consumption value of the water injection well system of the zth sample.

[0037] Furthermore, the energy consumption difference of the water treatment system, the energy consumption difference of the water pump system and the energy consumption difference of the water injection well system are compared. According to the order of the difference, the process of determining the optimization order of the oilfield water injection system is as follows:

[0038] When C1>C2>C3, first optimize the water treatment system, then optimize the water pump system, and finally optimize the water injection well system;

[0039] When C1>C3>C2, first optimize the water treatment system, then optimize the water injection well system, and finally optimize the water pump system;

[0040] When C2>C1>C3, first optimize the water pump system, then optimize the water treatment system, and finally optimize the water injection well system;

[0041] When C2>C3>C1, first optimize the water pump system, then optimize the water injection well system, and finally optimize the water treatment system;

[0042] When C3>C1>C2, first optimize the water injection well system, then optimize the water treatment system, and finally optimize the water pump system;

[0043] When C3>C2>C1, first optimize the water injection well system, then optimize the water pump system, and finally optimize the water treatment system.

[0044] An oilfield water injection system energy consumption optimization device, the device is used to execute any of the above-mentioned oilfield water injection system energy consumption optimization methods, comprising:

[0045] A data acquisition module is used to collect water treatment system data, water pump system data and water injection well system data in the oilfield water injection system, wherein the water treatment system data includes water quality parameters and environmental parameters, the water quality parameters include pH value and suspended matter content, the environmental parameters include temperature and humidity, the water pump system data includes pipeline pressure, fluid flow rate, pipeline diameter and operation time, the water injection well system data includes wellhead pressure parameters and formation parameters, the wellhead pressure parameters include water injection wellhead pressure, water injection volume of water injection well and oil wellhead pressure, and the formation parameters include formation permeability and porosity;

[0046] The first data processing module is used to process and analyze water quality parameters and environmental parameters, generate water treatment system coefficients, establish a linear regression equation between the water treatment system coefficients and the operating energy consumption of the water treatment system, and obtain the operating energy consumption of the water treatment system based on the water treatment system coefficients;

[0047] The second data processing module is used to process and analyze the water pump system data to generate a water pump system pressure coefficient, and generate the operating energy consumption of the water pump system based on the water pump system pressure coefficient;

[0048] The third data processing module is used to process and analyze the water injection well system data to generate the water injection well system pressure coefficient, and generate the operation energy consumption of the water injection well system according to the water injection well system pressure coefficient;

[0049] A data analysis module is used to process the operating energy consumption of the water treatment system and the historical average operating energy consumption of the water treatment system to generate the energy consumption difference of the water treatment system, process the operating energy consumption of the water pump system and the historical average operating energy consumption of the water pump system to generate the energy consumption difference of the water pump system, and process the operating energy consumption of the water injection well system and the historical average operating energy consumption of the water injection well system to generate the energy consumption difference of the water injection well system;

[0050] The execution module is used to compare the energy consumption difference of the water treatment system, the energy consumption difference of the water pump system and the energy consumption difference of the water injection well system, and determine the order of optimizing the oilfield water injection system according to the order of the difference sizes.

[0051] Compared with the prior art, the present invention has the following beneficial effects:

[0052] The present invention acquires the operating energy consumption of the water treatment system, the water pump system and the water injection well system by collecting water treatment system data, water pump system data and water injection well system data in the oil field water injection system, performs data processing on the operating energy consumption of the water treatment system and the historical average operating energy consumption of the water treatment system to generate the energy consumption difference of the water treatment system, performs data processing on the operating energy consumption of the water pump system and the historical average operating energy consumption of the operating energy consumption of the water pump system to generate the energy consumption difference of the water pump system, performs data processing on the operating energy consumption of the water injection well system and the historical average operating energy consumption of the water injection well system to generate the energy consumption difference of the water injection well system, compares the energy consumption difference of the water treatment system, the energy consumption difference of the water pump system and the energy consumption difference of the water injection well system, and determines the order of optimization of the oil field water injection system according to the order of the difference. Therefore, by collecting water treatment system data, water pump system data and water injection well system data in the oilfield water injection system, the energy consumption of the oilfield water injection system can be comprehensively and accurately evaluated. The optimization priority can also be determined, and then the system with higher energy consumption can be optimized first, making the optimization work more targeted and efficient. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is a schematic diagram of the overall method flow of the present invention;

[0054] Figure 2 This is a block diagram of the module composition of the present invention. DETAILED DESCRIPTION

[0055] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with specific embodiments.

[0056] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the present invention should be understood by people with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0057] Example:

[0058] See also Figure 1 , the present invention provides a technical solution:

[0059] A method for optimizing energy consumption of an oilfield water injection system, the specific steps comprising:

[0060] S1. Collect water treatment system data, water pump system data and water injection well system data in the oil field water injection system, wherein the water treatment system data includes water quality parameters and environmental parameters, the water quality parameters include pH value and suspended matter content, the environmental parameters include temperature and humidity, the water pump system data includes pipeline pressure, fluid flow rate, pipeline diameter and operation time, the water injection well system data includes wellhead pressure parameters and formation parameters, the wellhead pressure parameters include water injection wellhead pressure, water injection volume of water injection well and oil wellhead pressure, and the formation parameters include formation permeability and porosity;

[0061] S2. Process and analyze the water quality parameters and environmental parameters to generate a water treatment system coefficient, establish a linear regression equation between the water treatment system coefficient and the operating energy consumption of the water treatment system, and obtain the operating energy consumption of the water treatment system based on the water treatment system coefficient;

[0062] S3. Process and analyze the water pump system data to generate a water pump system pressure coefficient, and generate the operating energy consumption of the water pump system based on the water pump system pressure coefficient;

[0063] S4. Processing and analyzing the water injection well system data to generate a water injection well system pressure coefficient, and generating the operating energy consumption of the water injection well system based on the water injection well system pressure coefficient;

[0064] S5. Process the operating energy consumption of the water treatment system and the historical average operating energy consumption of the water treatment system to generate the energy consumption difference of the water treatment system, process the operating energy consumption of the water pump system and the historical average operating energy consumption of the water pump system to generate the energy consumption difference of the water pump system, process the operating energy consumption of the water injection well system and the historical average operating energy consumption of the water injection well system to generate the energy consumption difference of the water injection well system;

[0065] S6. Compare the energy consumption differences of the water treatment system, the energy consumption differences of the water pump system and the energy consumption differences of the water injection well system, and determine the order of optimization of the oilfield water injection system according to the order of the difference sizes.

[0066] When the water treatment system data of the oilfield water injection system changes, the energy consumption of the oilfield water injection system will change. The following are the specific reasons:

[0067] pH value changes: pH value is an indicator to measure the acidity and alkalinity of aqueous solutions. It will affect the progress of various chemical reactions in the water treatment system. When the pH value of the original water source changes, the water treatment system needs to adjust the amount of chemicals added and the treatment process to ensure that the water quality meets the standards. For example, if the pH value of the water source is low, alkaline chemicals may need to be added to adjust the water quality, which will increase the use of chemicals and treatment costs, thereby increasing energy consumption.

[0068] Changes in suspended solids content: Suspended solids content is a measure of the concentration of solid particles or suspended matter in water. When the suspended solids content in the original water source changes, the water treatment system needs to adjust the filtration and sedimentation processes to remove the suspended matter and improve the water quality. Increased suspended solids content may require increased filtration times or increased filtration pressure to ensure that water quality meets standards, which will increase the system's energy consumption.

[0069] Therefore, changes in water treatment system data, especially changes in pH value and suspended solids content, will directly affect the energy consumption of the water treatment system. The system needs to adjust the treatment process and chemical dosage according to water quality changes to meet water quality standards, which may increase energy consumption.

[0070] In addition, the operating status of the water treatment system is affected by environmental factors, such as temperature and humidity. When environmental parameters change, the system may need to adjust operating parameters or increase energy consumption to cope with new environmental conditions, such as increasing the cooling load of the equipment and increasing the power of the fan.

[0071] In summary, changes in water treatment system data of oilfield water injection systems will directly affect the energy consumption of the system, mainly due to changes in water quality and environmental parameters.

[0072] When the pump system data of the oilfield water injection system changes, the energy consumption of the oilfield water injection system will change. The following are the specific reasons:

[0073] Pipeline pressure changes: The water pump system is responsible for transporting water to the injection well. When the pipeline pressure changes, the water pump needs to adjust the output pressure to adapt to the new working conditions. Increasing the pipeline pressure usually requires the water pump to provide greater power to overcome resistance, thereby increasing energy consumption.

[0074] Changes in fluid flow rate: Fluid flow rate is an important parameter of the water pump system. It determines the speed and energy consumption of conveying fluid. When the fluid flow rate changes, the water pump may need to adjust the speed or output power to meet the new demand, which will affect the energy consumption of the system.

[0075] Changes in pipe diameter: Changes in pipe diameter affect the speed and resistance of water flow, which in turn affects the working state and energy consumption of the water pump system. A smaller diameter pipe usually increases the resistance of the fluid, requiring the water pump to provide more power to maintain a certain flow rate, increasing energy consumption.

[0076] Changes in operating time: The operating time of the pump system will also affect energy consumption. When more water needs to be delivered or the operating time is increased, the pump system will consume more energy, thereby increasing the energy consumption of the system.

[0077] In summary, changes in water pump system data will directly affect the energy consumption of the oilfield water injection system, mainly because of changes in pipeline pressure, fluid flow rate, pipeline diameter and operating time, which affect the working status and energy consumption of the water pump system.

[0078] When the water injection well system data of the oil field water injection system changes, the energy consumption of the oil field water injection system will change. The following are the specific reasons:

[0079] Wellhead pressure changes: Water injection wellhead pressure refers to the pressure at the oil wellhead or wellhead. When the water injection wellhead pressure changes, it will affect the working state and energy consumption of the water injection well system. For example, if the water injection wellhead pressure increases, the water pump may need to provide more power to overcome the pressure difference, thereby increasing energy consumption.

[0080] Changes in water injection volume: The water injection volume refers to the amount of water injected into the ground through the injection well. When the water injection volume changes, it will directly affect the workload and energy consumption of the water pump system. Increasing the water injection volume usually requires the water pump to provide a larger flow and power, thereby increasing the energy consumption of the system.

[0081] Changes in wellhead pressure: Wellhead pressure refers to the pressure at the oil well's production outlet. When the wellhead pressure changes, it will affect the injection volume and operating status of the water injection well system. If the wellhead pressure decreases, the water injection volume may need to be increased to maintain the oil field's production, which will increase the system's energy consumption.

[0082] Changes in formation parameters: Formation parameters include formation permeability and porosity. When formation parameters change, they will affect the injection effect and demand of the injection well. For example, if the formation permeability decreases, it may be necessary to increase the injection volume to improve the permeability of the formation, thereby increasing the energy consumption of the system.

[0083] In summary, changes in the water injection well system data will directly affect the energy consumption of the oilfield water injection system, mainly because of changes in wellhead pressure, water injection volume, oil wellhead pressure and formation parameters, which affect the working status and energy consumption of the water injection well system.

[0084] Based on the above embodiment, water quality parameters and environmental parameters are processed and analyzed to generate water treatment system coefficients according to the following formula:

[0085]

[0086] Among them, S represents the water treatment system coefficient, which indicates the comprehensive influence of water quality parameters and environmental parameters. pH is the pH value of water, which refers to the negative logarithm of the hydrogen ion concentration in water. Increasing the pH value will increase the alkalinity of water, and lowering the pH value will increase the acidity of water. When the pH value increases, the coefficient S will also increase accordingly, indicating that the influence of water quality on system performance is enhanced. T is temperature, which indicates the ambient temperature of the water treatment system. The increase in temperature will lead to a decrease in dissolved gas in water and an increase in chemical reaction rate, thereby affecting the performance of the water treatment system. When the temperature T increases, the coefficient S will increase accordingly, indicating that the influence of temperature on system performance is enhanced. H is humidity, which indicates the ambient humidity of the water treatment system. The increase in humidity will affect the content of dissolved gas and chemical reaction rate in water, thereby affecting the performance of the system. When the humidity H increases, the coefficient S will decrease accordingly, indicating that the influence of humidity on system performance is weakened. C is the suspended matter content, which indicates the content of suspended solid particles in water. The increase in suspended matter content will increase the turbidity of water and affect the water treatment effect. When the suspended matter content C increases, the coefficient S will increase accordingly, indicating that the influence of suspended matter on system performance is enhanced.

[0087] The value range of this formula is S≥0, that is, the value range of the coefficient S is a set of non-negative real numbers. When the coefficient (S) is small, it means that the water quality parameters and environmental parameters have little impact on the system; when the coefficient S is large, it means that the water quality parameters and environmental parameters have a greater impact on the system. By comprehensively considering the water quality parameters and environmental parameters, the performance of the system can be evaluated based on the water treatment system coefficient S, thereby optimizing the water treatment plan and system design.

[0088] The above formula includes the main factors affecting the energy consumption of the water treatment system, which are water quality parameters (pH value and suspended solids content) and environmental parameters (temperature and humidity). These parameters are important factors affecting the energy consumption of the water treatment system, so they need to be considered in the formula;

[0089] Water quality parameters influence:

[0090] pH value: pH value reflects the acidity and alkalinity of water and has an important impact on water quality. In the above formula, pH is multiplied by other parameters and divided by H, which represents the impact of pH value on system coefficient S. As pH value increases, system coefficient S may increase, indicating that the stronger the acidity and alkalinity of water, the greater the impact on system performance may be.

[0091] Suspended solids content: The suspended solids content affects the turbidity of water and the difficulty of treatment. In the above formula, the square root of the ratio of the suspended solids content C to the product of pH and H is added to (pH×T / H), which represents the influence of the suspended solids content on the system coefficient S. The higher the suspended solids content, the greater the system coefficient S, indicating an increase in the difficulty of treatment.

[0092] Impact of environmental parameters:

[0093] Temperature: Temperature affects the chemical reaction rate of water and the content of dissolved gases. In the above formula, the temperature T multiplied by the pH value and divided by the humidity H represents the effect of temperature on the system coefficient S. As the temperature increases, the system coefficient S increases, indicating that the chemical reaction rate increases and has a greater impact on system performance.

[0094] Humidity: Humidity affects the dissolved gas content and chemical reaction rate of water. In the above formula, humidity H is in the denominator, which represents the influence of humidity on the system coefficient S. When the humidity decreases, the system coefficient S decreases, which means that the dissolved gas content decreases and the influence on system performance decreases.

[0095] The meaning of the system coefficient S:

[0096] The system coefficient S represents the comprehensive impact of water quality parameters and environmental parameters on the performance of the water treatment system. When the system coefficient S is large, it means that the water quality parameters and environmental parameters have a greater impact on the system performance and the difficulty of treatment will increase; when the system coefficient S is small, it means that the system is less affected and the treatment is relatively easy.

[0097] Therefore, this formula can better describe the combined impact of water quality parameters and environmental parameters on the performance of water treatment systems, and provides a quantitative method to evaluate system performance and optimize treatment solutions.

[0098] On the basis of the above embodiment, a linear regression equation is established between the water treatment system coefficient and the operating energy consumption of the water treatment system. According to the water treatment system coefficient, the process of obtaining the operating energy consumption of the water treatment system is as follows:

[0099] E1=β0-β1·S+ò

[0100] Among them, E1 is the operating energy consumption of the water treatment system, S represents the coefficient of the water treatment system, β0 is the intercept term, β1 is the coefficient of the linear regression model, and ò is the error term.

[0101] The above linear function relationship assumes that there is a linear relationship between the water treatment system coefficient S and the system operating energy consumption E1, that is, the system operating energy consumption decreases linearly with the increase of the system coefficient.

[0102] Through the above formula, we can know the functional relationship between the operating energy consumption of the water treatment system and the water treatment system coefficient. Now we can also express the relationship between the operating energy consumption of the water treatment system and the water treatment system coefficient through a table. The following is the table content:

[0103]

[0104] From the above table, it can be seen that when the water treatment system coefficient increases, the operating energy consumption of the water treatment system will decrease, because the increase in the water treatment system coefficient is usually accompanied by an improvement in energy efficiency, thereby leading to a reduction in operating energy consumption.

[0105] On the basis of the above embodiment, the water pump system data is processed and analyzed to generate the water pump system pressure coefficient according to the following formula:

[0106]

[0107] Among them, P is the pressure coefficient of the water pump system, P d is the pipeline pressure, V is the fluid flow rate, D is the pipeline diameter, YS is the running time, α is the coefficient of the pipeline diameter of the i-th sample, β1 is the order of magnitude of the pressure coefficient, γ is the constant term, and n is 4.

[0108] There are interaction rules between the parameters in the above formulas. For example, increasing the pipeline pressure P d It will lead to an increase in the pressure coefficient P of the water pump system, because higher pressure means greater driving force. In addition, increasing the fluid flow rate V will increase the pressure coefficient P of the water pump system, because a faster flow rate means a higher energy transfer rate. An increase in the pipe diameter D will reduce the pressure coefficient P of the water pump system, because a larger pipe diameter will lead to greater friction losses. An increase in the running time YS will affect the pressure coefficient P of the water pump system, which will increase with the increase in the running time YS.

[0109] Through the above formula, we can know the functional relationship between the water pump system pressure coefficient and the pipeline pressure, fluid flow rate, pipeline diameter and running time. Now we can also express the functional relationship between the water pump system coefficient and the pipeline pressure, fluid flow rate, pipeline diameter and running time through a table. The following is the table content:

[0110]

[0111]

[0112] From the above table, it can be seen that when the pipeline pressure, fluid flow rate, pipeline diameter and operating time increase, the pressure coefficient of the water pump system will increase.

[0113] On the basis of the above embodiment, the operating energy consumption of the water pump system is generated according to the pressure coefficient of the water pump system, and the formula is as follows:

[0114] E2=k·P

[0115] Among them, E2 is the operating energy consumption of the water pump system, and k is the proportional coefficient, which indicates the influence of the water pump system pressure coefficient P on the operating energy consumption E2 of the water pump system.

[0116] The above formula is in line with reality, because the operating energy consumption is usually affected by the pressure coefficient of the water pump system. By adjusting the value of k, the influence of the pressure coefficient P can be adjusted according to the actual situation.

[0117] On the basis of the above embodiment, the water injection well system data is processed and analyzed to generate the water injection well system pressure coefficient, according to the following formula:

[0118]

[0119] Among them, Z is the pressure coefficient of the water injection well system, P w is the injection wellhead pressure, Q w is the water injection volume of the injection well, P o is the wellhead pressure, r i is the formation permeability of the i-th sample, φ is the formation porosity, β2 is the order of magnitude of the pressure coefficient of the injection well system, and m is 5.

[0120] From the above formula, we can know that when the injection wellhead pressure P w When the water injection volume Q increases w and wellhead pressure P o If it remains unchanged, the pressure coefficient Z will also increase. The increase in formation permeability r and porosity φ will lead to an increase in the pressure coefficient Z, but the growth rate will be affected by the square root term.

[0121] When the pressure coefficient Z is small, it means that the pressure of the water injection well system is low, and it may be necessary to increase the injection volume or increase the formation permeability; when the pressure coefficient Z is large, it means that the pressure of the water injection well system is high, and it may be necessary to reduce the injection volume or reduce the formation permeability.

[0122] On the basis of the above embodiment, the operating energy consumption of the water injection well system is generated according to the pressure coefficient of the water injection well system, and the formula is as follows:

[0123]

[0124] Among them, E3 is the operating energy consumption of the water injection well system, and μ is a constant used to adjust the relationship between energy consumption and pressure coefficient. A smaller μ value will make the energy consumption more sensitive to changes in the pressure coefficient, while a larger μ value will make the energy consumption change more smoothly.

[0125] This formula reflects the inverse relationship between the operating energy consumption of the water injection well system and the pressure coefficient, that is, when the pressure coefficient is higher, the operating energy consumption of the system is lower. This is because a higher pressure coefficient generally means a more efficient water injection well system operation, thereby reducing energy consumption.

[0126] On the basis of the above embodiment, the operating energy consumption of the water treatment system and the historical average operating energy consumption of the water treatment system are processed to generate the energy consumption difference of the water treatment system, the operating energy consumption of the water pump system and the historical average operating energy consumption of the water pump system are processed to generate the energy consumption difference of the water pump system, and the operating energy consumption of the water injection well system and the historical average operating energy consumption of the water injection well system are processed to generate the energy consumption difference of the water injection well system, and the formulas respectively based on are as follows:

[0127]

[0128] in, is the historical average operating energy consumption of the water treatment system, E i is the historical operating energy consumption value of the water treatment system of the i-th sample, n is the number of samples, C1 is the energy consumption difference of the water treatment system, is the historical average operating energy consumption of the water pump system, E j is the historical operating energy consumption value of the water pump system of the jth sample, C2 is the energy consumption difference of the water pump system, is the historical average operating energy consumption of the water injection well system, E z is the historical operating energy consumption value of the water injection well system of the zth sample.

[0129] On the basis of the above embodiment, the energy consumption difference of the water treatment system, the energy consumption difference of the water pump system and the energy consumption difference of the water injection well system are compared, and the process of determining the optimization order of the oilfield water injection system according to the order of the difference size is as follows:

[0130] When C1>C2>C3, first optimize the water treatment system, then optimize the water pump system, and finally optimize the water injection well system;

[0131] When C1>C3>C2, first optimize the water treatment system, then optimize the water injection well system, and finally optimize the water pump system;

[0132] When C2>C1>C3, first optimize the water pump system, then optimize the water treatment system, and finally optimize the water injection well system;

[0133] When C2>C3>C1, first optimize the water pump system, then optimize the water injection well system, and finally optimize the water treatment system;

[0134] When C3>C1>C2, first optimize the water injection well system, then optimize the water treatment system, and finally optimize the water pump system;

[0135] When C3>C2>C1, first optimize the water injection well system, then optimize the water pump system, and finally optimize the water treatment system.

[0136] The specific values ​​of α and k in the formula are generally determined by technical personnel in this field according to actual conditions. The essence of this formula is a comprehensive analysis based on weighted summation. Technical personnel in this field collect multiple groups of sample data and set corresponding preset proportional coefficients for each group of sample data. The preset proportional coefficients and the collected sample data are substituted into the formula. Through repeated experiments and parameter adjustments, the accuracy of the model output and the rationality of the results are observed, these factor coefficients are gradually adjusted, and the performance and effect of the model under different parameter settings are compared to find the optimal coefficient combination. The calculated factor coefficients are screened and averaged to obtain the values ​​of α and k.

[0137] In addition, the size of the preset factor coefficient is to quantify each parameter to obtain a specific value. In order to facilitate subsequent comparison, the size of the coefficient depends on the amount of sample data and the preset proportional coefficient initially set by technical personnel in this field for each set of sample data. It is not unique as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0138] See also Figure 2 , the present invention also provides a technical solution:

[0139] An oilfield water injection system energy consumption optimization device, the device is used to execute any of the above-mentioned oilfield water injection system energy consumption optimization methods, comprising:

[0140] A data acquisition module is used to collect water treatment system data, water pump system data and water injection well system data in the oilfield water injection system, wherein the water treatment system data includes water quality parameters and environmental parameters, the water quality parameters include pH value and suspended matter content, the environmental parameters include temperature and humidity, the water pump system data includes pipeline pressure, fluid flow rate, pipeline diameter and operation time, the water injection well system data includes wellhead pressure parameters and formation parameters, the wellhead pressure parameters include water injection wellhead pressure, water injection volume of water injection well and oil wellhead pressure, and the formation parameters include formation permeability and porosity;

[0141] The first data processing module is used to process and analyze water quality parameters and environmental parameters, generate water treatment system coefficients, establish a linear regression equation between the water treatment system coefficients and the operating energy consumption of the water treatment system, and obtain the operating energy consumption of the water treatment system based on the water treatment system coefficients;

[0142] The second data processing module is used to process and analyze the water pump system data to generate a water pump system pressure coefficient, and generate the operating energy consumption of the water pump system based on the water pump system pressure coefficient;

[0143] The third data processing module is used to process and analyze the water injection well system data to generate the water injection well system pressure coefficient, and generate the operation energy consumption of the water injection well system according to the water injection well system pressure coefficient;

[0144] A data analysis module is used to process the operating energy consumption of the water treatment system and the historical average operating energy consumption of the water treatment system to generate the energy consumption difference of the water treatment system, process the operating energy consumption of the water pump system and the historical average operating energy consumption of the water pump system to generate the energy consumption difference of the water pump system, and process the operating energy consumption of the water injection well system and the historical average operating energy consumption of the water injection well system to generate the energy consumption difference of the water injection well system;

[0145] The execution module is used to compare the energy consumption difference of the water treatment system, the energy consumption difference of the water pump system and the energy consumption difference of the water injection well system, and determine the order of optimizing the oilfield water injection system according to the order of the difference sizes.

[0146] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0147] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product. Those skilled in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software methods depends on the specific application and design constraints of the technical solution.

[0148] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0149] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A method for optimizing energy consumption of an oilfield water injection system, characterized in that: The specific steps include: S1. Collect water treatment system data, water pump system data and water injection well system data in the oil field water injection system, wherein the water treatment system data includes water quality parameters and environmental parameters, the water quality parameters include pH value and suspended matter content, the environmental parameters include temperature and humidity, the water pump system data includes pipeline pressure, fluid flow rate, pipeline diameter and operation time, the water injection well system data includes wellhead pressure parameters and formation parameters, the wellhead pressure parameters include water injection wellhead pressure, water injection volume of water injection well and oil wellhead pressure, and the formation parameters include formation permeability and porosity; S2. Process and analyze the water quality parameters and environmental parameters to generate a water treatment system coefficient, establish a linear regression equation between the water treatment system coefficient and the operating energy consumption of the water treatment system, and obtain the operating energy consumption of the water treatment system based on the water treatment system coefficient; S3. Process and analyze the water pump system data to generate a water pump system pressure coefficient, and generate the operating energy consumption of the water pump system based on the water pump system pressure coefficient; S4. Processing and analyzing the water injection well system data to generate a water injection well system pressure coefficient, and generating the operating energy consumption of the water injection well system based on the water injection well system pressure coefficient; S5. Process the operating energy consumption of the water treatment system and the historical average operating energy consumption of the water treatment system to generate the energy consumption difference of the water treatment system, process the operating energy consumption of the water pump system and the historical average operating energy consumption of the water pump system to generate the energy consumption difference of the water pump system, process the operating energy consumption of the water injection well system and the historical average operating energy consumption of the water injection well system to generate the energy consumption difference of the water injection well system; S6. Compare the energy consumption differences of the water treatment system, the energy consumption differences of the water pump system and the energy consumption differences of the water injection well system, and determine the order of optimization of the oilfield water injection system according to the order of the difference sizes.

2. The method for optimizing energy consumption of an oilfield water injection system according to claim 1, characterized in that: The water quality parameters and environmental parameters are processed and analyzed to generate the water treatment system coefficients based on the following formula: Among them, S is the water treatment system coefficient, which represents the combined influence of water quality parameters and environmental parameters, pH is the pH value of water, which refers to the negative logarithm of the hydrogen ion concentration in water, T is the ambient temperature of the water treatment system, H is the ambient humidity of the water treatment system, and C is the content of suspended solid particles in water.

3. The method for optimizing energy consumption of an oilfield water injection system according to claim 2, characterized in that: A linear regression equation is established between the water treatment system coefficient and the operating energy consumption of the water treatment system. Based on the water treatment system coefficient, the process of obtaining the operating energy consumption of the water treatment system is as follows: E1=β0-β1·S+ò Among them, E1 is the operating energy consumption of the water treatment system, S represents the coefficient of the water treatment system, β0 is the intercept term, β1 is the coefficient of the linear regression model, and ò is the error term.

4. The method for optimizing energy consumption of an oilfield water injection system according to claim 1, characterized in that: The water pump system data is processed and analyzed to generate the water pump system pressure coefficient based on the following formula: Among them, P is the pressure coefficient of the water pump system, P d is the pipeline pressure, V is the fluid flow rate, D is the pipeline diameter, YS is the running time, α i is the coefficient of the pipe diameter of the i-th sample, β1 is the order of magnitude of the pressure coefficient, γ is a constant term, and n is 4.

5. The method for optimizing energy consumption of an oilfield water injection system according to claim 4, characterized in that: Based on the pressure coefficient of the water pump system, the operating energy consumption of the water pump system is generated according to the following formula: E2=k·P Among them, E2 is the operating energy consumption of the water pump system, and k is the proportional coefficient, which indicates the influence of the water pump system pressure coefficient P on the operating energy consumption E2 of the water pump system.

6. The method for optimizing energy consumption of an oilfield water injection system according to claim 1, characterized in that: The injection well system data is processed and analyzed to generate the injection well system pressure coefficient, based on the following formula: Among them, Z is the pressure coefficient of the water injection well system, P w is the injection wellhead pressure, Q w is the water injection volume of the injection well, P o is the wellhead pressure, r i is the formation permeability of the i-th sample, φ is the formation porosity, β2 is the order of magnitude of the pressure coefficient of the injection well system, and m is 5.

7. The method for optimizing energy consumption of an oilfield water injection system according to claim 6, characterized in that: Based on the pressure coefficient of the water injection well system, the operating energy consumption of the water injection well system is generated according to the following formula: Among them, E3 is the operating energy consumption of the water injection well system, and μ is a constant.

8. The method for optimizing energy consumption of an oilfield water injection system according to claim 1, characterized in that: The operating energy consumption of the water treatment system and the historical average operating energy consumption of the water treatment system are processed to generate the energy consumption difference of the water treatment system. The operating energy consumption of the water pump system and the historical average operating energy consumption of the water pump system are processed to generate the energy consumption difference of the water pump system. The operating energy consumption of the water injection well system and the historical average operating energy consumption of the water injection well system are processed to generate the energy consumption difference of the water injection well system. The formulas are as follows: in, is the historical average operating energy consumption of the water treatment system, E i is the historical operating energy consumption value of the water treatment system of the i-th sample, n is the number of samples, C1 is the energy consumption difference of the water treatment system, is the historical average operating energy consumption of the water pump system, E j is the historical operating energy consumption value of the water pump system of the jth sample, C2 is the energy consumption difference of the water pump system, is the historical average operating energy consumption of the water injection well system, E z is the historical operating energy consumption value of the water injection well system of the zth sample.

9. The method for optimizing energy consumption of an oilfield water injection system according to claim 8, characterized in that: Compare the energy consumption difference of the water treatment system, the energy consumption difference of the water pump system and the energy consumption difference of the water injection well system, and determine the optimization order of the oilfield water injection system according to the order of the difference size as follows: When C1>C2>C3, first optimize the water treatment system, then optimize the water pump system, and finally optimize the water injection well system; When C1>C3>C2, first optimize the water treatment system, then optimize the water injection well system, and finally optimize the water pump system; When C2>C1>C3, first optimize the water pump system, then optimize the water treatment system, and finally optimize the water injection well system; When C2>C3>C1, first optimize the water pump system, then optimize the water injection well system, and finally optimize the water treatment system; When C3>C1>C2, first optimize the water injection well system, then optimize the water treatment system, and finally optimize the water pump system; When C3>C2>C1, first optimize the water injection well system, then optimize the water pump system, and finally optimize the water treatment system.

10. An energy consumption optimization device for an oilfield water injection system, the device being used to execute the energy consumption optimization method for an oilfield water injection system according to any one of claims 1 to 9, characterized in that: include: A data acquisition module is used to collect water treatment system data, water pump system data and water injection well system data in the oilfield water injection system, wherein the water treatment system data includes water quality parameters and environmental parameters, the water quality parameters include pH value and suspended matter content, the environmental parameters include temperature and humidity, the water pump system data includes pipeline pressure, fluid flow rate, pipeline diameter and operation time, the water injection well system data includes wellhead pressure parameters and formation parameters, the wellhead pressure parameters include water injection wellhead pressure, water injection volume of water injection well and oil wellhead pressure, and the formation parameters include formation permeability and porosity; The first data processing module is used to process and analyze water quality parameters and environmental parameters, generate water treatment system coefficients, establish a linear regression equation between the water treatment system coefficients and the operating energy consumption of the water treatment system, and obtain the operating energy consumption of the water treatment system based on the water treatment system coefficients; The second data processing module is used to process and analyze the water pump system data to generate a water pump system pressure coefficient, and generate the operating energy consumption of the water pump system based on the water pump system pressure coefficient; The third data processing module is used to process and analyze the water injection well system data to generate the water injection well system pressure coefficient, and generate the operation energy consumption of the water injection well system according to the water injection well system pressure coefficient; A data analysis module is used to process the operating energy consumption of the water treatment system and the historical average operating energy consumption of the water treatment system to generate the energy consumption difference of the water treatment system, process the operating energy consumption of the water pump system and the historical average operating energy consumption of the water pump system to generate the energy consumption difference of the water pump system, and process the operating energy consumption of the water injection well system and the historical average operating energy consumption of the water injection well system to generate the energy consumption difference of the water injection well system; The execution module is used to compare the energy consumption difference of the water treatment system, the energy consumption difference of the water pump system and the energy consumption difference of the water injection well system, and determine the order of optimizing the oilfield water injection system according to the order of the difference sizes.

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