A method and device for obtaining a petroleum catalytic cracking scheme

Abstract

The present invention provides a method and apparatus for obtaining a petroleum catalytic cracking scheme, comprising: inputting basic device data and operating data of a catalytic cracking reaction into a catalytic cracking reaction model, obtaining product flow rate data and hydrogen content distribution data output by the catalytic cracking reaction model through catalytic cracking reaction calculations and heat balance calculations; and inputting the basic device data and operating data, as well as the product flow rate data and hydrogen content distribution data, into a target optimization model to determine a petroleum catalytic cracking scheme after hydrogen distribution optimization. The method and apparatus for obtaining a petroleum catalytic cracking scheme provided by the present invention, using only basic device data and operating data, can predict product flow rate and hydrogen distribution using the catalytic cracking reaction model and the target optimization model, and perform target optimization to obtain an optimized hydrogen distribution scheme for the catalytic cracking reaction, thereby achieving product distribution with essentially optimal hydrogen content distribution.

Description

Technical Field

[0001] The present invention relates to the technical field of petroleum processing, and in particular to a method and device for obtaining a petroleum catalytic cracking scheme. Background Art

[0002] The oil processing process is mainly a process of rebalancing carbon, hydrogen and other elements in crude oil, which can be divided into two cases: decarbonization and hydrogenation. The corresponding technical routes are decarbonization technology route and hydrogenation technology route.

[0003] Catalytic cracking (FCC) is a key crude oil decarbonization process. Through cracking, hydrogen transfer, and isomerization, crude oil is converted into products such as dry gas, liquefied petroleum gas, gasoline, light cycle oil, slurry oil, and coke. In existing FCC solutions, the hydrogen content of FCC product is calculated using a method that collects a certain amount of sample, tests the hydrogen content using elemental analysis instruments, and adjusts operating parameters to optimize the FCC solution.

[0004] However, the above scheme can only obtain the optimal scheme such as yield and operating conditions. Summary of the Invention

[0005] In view of the problems existing in the prior art, the embodiments of the present invention provide a method and device for obtaining a petroleum catalytic cracking solution.

[0006] The present invention provides a method for obtaining a petroleum catalytic cracking scheme, comprising: inputting basic data and operating data of a catalytic cracking reaction device into a catalytic cracking reaction model, and obtaining product flow data and hydrogen content distribution data output by the catalytic cracking reaction model; the product flow data and hydrogen content distribution data are obtained by performing catalytic cracking reaction calculations and heat balance calculations on the basic data and operating data by the catalytic cracking reaction model;

[0007] The basic data of the device and the operating data, as well as the product flow data and the hydrogen content distribution data are input into a target optimization model to determine a petroleum catalytic cracking scheme. The petroleum catalytic cracking scheme is obtained by optimizing the hydrogen distribution of the basic data of the device and the operating data, as well as the product flow data and the hydrogen content distribution data through the target optimization model.

[0008] According to a method for obtaining a petroleum catalytic cracking scheme provided by the present invention, the catalytic cracking reaction model is constructed based on the following method:

[0009] Constructing an initial reaction model, and obtaining sample device basic data and sample operation data, as well as sample product flow rate data and sample hydrogen content distribution data corresponding to the sample device basic data and the sample operation data;

[0010] Inputting the sample device basic data and the sample operation data into the initial reaction model to obtain a product flow rate prediction value and a hydrogen content distribution prediction value output by the initial reaction model;

[0011] Obtaining a total deviation based on the product flow rate prediction value and the hydrogen content distribution prediction value, as well as the sample product flow rate data and the sample hydrogen content distribution data;

[0012] If the total deviation is less than or equal to a preset value, the initial reaction model is determined to be the catalytic cracking reaction model.

[0013] According to a method for obtaining a petroleum catalytic cracking scheme provided by the present invention, after obtaining the deviation sum, the method further includes:

[0014] If the total deviation is greater than a preset value, the parameters of the initial reaction model are adjusted to obtain a new reaction model;

[0015] The sample device basic data and operation data are input into the new reaction model until the new deviation sum is less than or equal to the preset value, and the new reaction model is determined to be the catalytic cracking reaction model.

[0016] According to a method for obtaining a petroleum catalytic cracking scheme provided by the present invention, the target optimization model includes an objective function and preset constraints; and determining the petroleum catalytic cracking scheme includes:

[0017] If the device basic data and the operating data, as well as the product flow rate data and the hydrogen content distribution data, satisfy the preset constraints, then, based on the objective function and the preset constraints, adjusting the operating data using the product flow rate data and the hydrogen content distribution data to obtain new operating data;

[0018] Inputting the device basic data and the new operating data into the catalytic cracking reaction model to obtain new product flow rate data and new hydrogen content distribution data corresponding to the device basic data and the new operating data;

[0019] If the device basic data and the new operating data, as well as the new product flow rate data and the new hydrogen content distribution data do not meet the preset constraints, the operating data are adjusted according to the objective function and the preset constraints until the device basic data, as well as the new operating data, the new product flow rate data and the hydrogen content distribution data meet the preset constraints, and the device basic data and the new operating data, as well as the new product flow rate data and the new hydrogen content distribution data are determined to be the petroleum catalytic cracking scheme.

[0020] According to a petroleum catalytic cracking scheme acquisition method provided by the present invention, the sample device basic data and the sample operation data are both acquired from a database;

[0021] The database is established based on the following steps:

[0022] Acquiring basic data of the catalytic cracking reaction unit, as well as operating data, product flow data, and hydrogen content distribution data of the catalytic cracking reaction unit under different operating conditions, to construct the database;

[0023] The basic device data includes technical design data of the catalytic cracking reaction device;

[0024] The operation data includes: raw material data, product data and device operating parameters of the catalytic cracking reaction device.

[0025] The present invention also provides a petroleum catalytic cracking scheme acquisition device, comprising:

[0026] an acquisition unit, configured to input basic device data and operating data of a catalytic cracking reaction into a catalytic cracking reaction model, and acquire product flow rate data and hydrogen content distribution data output by the catalytic cracking reaction model; the product flow rate data and hydrogen content distribution data are obtained by the catalytic cracking reaction model performing catalytic cracking reaction calculation and heat balance calculation on the basic device data and the operating data;

[0027] A determination unit is used to input the basic data of the device and the operating data, as well as the product flow data and the hydrogen content distribution data into a target optimization model to determine a petroleum catalytic cracking scheme, wherein the petroleum catalytic cracking scheme is obtained by optimizing the hydrogen distribution of the basic data of the device and the operating data, as well as the product flow data and the hydrogen content distribution data through the target optimization model.

[0028] According to the present invention, a petroleum catalytic cracking scheme acquisition device is provided, which also includes:

[0029] A construction unit is used to obtain the basic data of the catalytic cracking reaction unit, as well as the operation data, product flow data and hydrogen content distribution data of the catalytic cracking reaction unit under different operating conditions, and construct a database;

[0030] The basic data of the device include technical design data of the catalytic cracking reaction device;

[0031] The operation data includes: raw material data, product data and device operating parameters of the catalytic cracking reaction device.

[0032] The present invention also provides an electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of any of the above-described methods for obtaining a petroleum catalytic cracking scheme are implemented.

[0033] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of any of the above-mentioned methods for obtaining a petroleum catalytic cracking scheme are implemented.

[0034] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the steps of any of the above-mentioned methods for obtaining a petroleum catalytic cracking scheme are implemented.

[0035] The petroleum catalytic cracking scheme acquisition method and device provided by the present invention can use the catalytic cracking reaction model and the target optimization model to predict product flow and hydrogen distribution and optimize the target only through basic device data and operation data, thereby obtaining a hydrogen distribution optimization scheme for the catalytic cracking reaction and realizing product distribution under the optimal hydrogen content distribution in a fundamental sense. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0037] Figure 1 It is a flow chart of the method for obtaining a petroleum catalytic cracking scheme provided by the present invention;

[0038] Figure 2 It is a schematic flow chart of the catalytic cracking reaction model training method provided by the present invention;

[0039] Figure 3 It is a flow chart of the method for adjusting basic data and operating data of the device provided by the present invention;

[0040] Figure 4 It is a structural diagram of the petroleum catalytic cracking scheme acquisition device provided by the present invention;

[0041] Figure 5 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0042] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0043] It should be noted that, in the description of the embodiments of the present invention, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "include a ..." do not exclude the presence of other identical elements in the process, method, article or device comprising the elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances.

[0044] Hydrogen balance calculation and analysis can be used to evaluate the rationality of product distribution and hydrogen utilization efficiency in catalytic cracking units. In actual production, composition analysis of dry gas and liquefied gas is widely used, and their hydrogen content can be calculated from their composition. The hydrogen content of coke can be calculated from the flue gas composition. The hydrogen content of liquid oil products is primarily measured using elemental analyzers, empirical formulas, and simulation software.

[0045] Regarding the hydrogen content of the products of the catalytic cracking reaction unit, the existing calculation methods have the following main characteristics:

[0046] (1) It relies on sampling and cannot predict the hydrogen content without sampling the device product. Taking the calculation of gasoline hydrogen content as an example, after sampling a certain amount of gasoline sample, its hydrogen content can be tested by elemental analysis instrument, or the key physical and chemical properties of the gasoline sample can be analyzed and tested first, and then its hydrogen content can be calculated by empirical formula. Therefore, the existing analysis method cannot predict the hydrogen content of gasoline without sampling;

[0047] (2) It is highly dependent on instrumental analysis. Dry gas, liquefied gas, flue gas, etc. need to be analyzed by experimental instruments to obtain component distribution before their hydrogen content can be calculated. Liquid oil products also need to be analyzed by professional elemental analysis equipment to calculate their hydrogen content; (3) The hydrogen content measurement process is only related to the basic properties of the sample and is not related to the main operating parameters of the device. The hydrogen content or hydrogen balance of the device obtained by the existing method can only indirectly reflect the operation of the device.

[0048] The present invention provides a method and device for obtaining a petroleum catalytic cracking scheme suitable for predicting and optimizing the distribution of catalytic cracking products, which is used to analyze and evaluate the product distribution and operational rationality of the device, and can also guide the optimization of the device operation.

[0049] The following combination Figures 1 to 5 The present invention provides a method and apparatus for obtaining a petroleum catalytic cracking solution.

[0050] Figure 1 This is a flow chart of the method for obtaining a petroleum catalytic cracking solution provided by the present invention, such as Figure 1 As shown, including but not limited to the following steps:

[0051] First, in step S1, basic data and operating data of the catalytic cracking reaction device are input into a catalytic cracking reaction model, and product flow data and hydrogen content distribution data output by the catalytic cracking reaction model are obtained; the product flow data and the hydrogen content distribution data are obtained by the catalytic cracking reaction model performing catalytic cracking reaction calculations and heat balance calculations on the basic data and the operating data.

[0052] The catalytic cracking reaction model is constructed based on the mechanism model. On the one hand, the parameters in the model have very clear physical meanings; on the other hand, the model parameters are easy to adjust, and the resulting model has strong adaptability.

[0053] The final catalytic cracking reaction model is determined after adjusting the mathematical parameters in the catalytic cracking reaction model based on the sample device basic data and the sample operation data, as well as the sample product flow rate data and the sample hydrogen content distribution data corresponding to the sample device basic data and the sample operation data.

[0054] The operation data may include: raw material data, product data and the device operating parameters of the catalytic cracking reaction device. The product flow data must meet the material balance.

[0055] Specifically, the catalytic cracking reaction unit basic data and operational data are input into the catalytic cracking reaction model. The catalytic cracking reaction model then performs catalytic cracking reaction and heat balance calculations on these data, obtaining product flow rate data and hydrogen content distribution data corresponding to the unit basic data and operational data. Products of the catalytic cracking reaction include liquefied petroleum gas, dry gas, gasoline, light cycle oil, slurry oil, and coke.

[0056] Furthermore, in step S2, the basic data of the device and the operating data, as well as the product flow data and the hydrogen content distribution data are input into the target optimization model to determine the petroleum catalytic cracking scheme, which is obtained by optimizing the hydrogen distribution of the basic data of the device and the operating data, as well as the product flow data and the hydrogen content distribution data through the target optimization model.

[0057] The target optimization model includes: objective function and preset constraints; the objective function may include: maximum production function of liquefied gas and gasoline, and minimum hydrogen content function in dry gas and coke; the preset constraints may include: equilibrium constraints and other constraints, and other constraints may include: content constraints, temperature constraints, flow constraints and product hydrogen content constraints.

[0058] Specifically, the preset constraints are used to judge the basic data and operating data of the device, as well as the product flow data and hydrogen content distribution data. When the basic data and operating data of the device, as well as the product flow data and hydrogen content distribution data meet the preset constraints, the objective function is used to calculate the target values ​​corresponding to the basic data and operating data of the device. The target values ​​include: the maximum output of liquefied gas and gasoline, and the minimum hydrogen content in dry gas and coke.

[0059] The basic data and operating data of the device can be adjusted within the preset constraints, and multiple target values ​​can be obtained. Then, based on the multiple target values, the basic data and operating data of the device corresponding to the target values ​​of the maximum liquefied gas and gasoline production and the minimum hydrogen content in dry gas and coke, as well as the product flow rate data and hydrogen content distribution data are determined as the optimized petroleum catalytic cracking plan.

[0060] The petroleum catalytic cracking scheme acquisition method provided by the present invention can use the catalytic cracking reaction model and the target optimization model to predict product flow and hydrogen distribution and optimize the target only through basic device data and operation data, thereby obtaining a hydrogen distribution optimization scheme for the catalytic cracking reaction and realizing product distribution under the optimal hydrogen content distribution in a fundamental sense.

[0061] Optionally, the sample device basic data and the sample operation data are both obtained from a database;

[0062] The database is established based on the following steps:

[0063] Acquiring basic data of the catalytic cracking reaction unit, as well as operating data, product flow data, and hydrogen content distribution data of the catalytic cracking reaction unit under different operating conditions, to construct the database;

[0064] The basic data of the device include technical design data of the catalytic cracking reaction device;

[0065] The operation data includes: raw material data, product data and device operating parameters of the catalytic cracking reaction device.

[0066] Different operating conditions can be divided according to different processed raw materials, different reactor temperatures, and different reactor outlet pressures. Under different operating conditions, the basic device data and operation data of the catalytic cracking reaction unit, as well as the product flow data and hydrogen content distribution data are collected to establish a basic database.

[0067] Among them, the basic data of the device may include basic design data of the device, such as device processing scale, reactor structural parameters, basic properties of the catalyst, tower equipment data, heat exchanger equipment data, etc.

[0068] The operating data may include the device operating parameters of the catalytic cracking reaction unit, such as temperature, pressure, residence time, etc.; it may also include raw material data and product data. The raw material data includes the chemical analysis data of the raw materials, and the product data includes the chemical analysis data of the products, such as density, distillation range, sulfur content, nitrogen content, hydrogen content, etc.

[0069] Taking the refinery's 2.0Mt / a catalytic cracking reactor as an example, the reaction and regeneration type of the unit is a high-low parallel type; the reaction part adopts the clean gasoline production technology (MIP-CGP) process technology of increasing the production of propylene and producing more isomerized alkanes through the internal riser, and the regeneration part adopts a parallel two-vessel regeneration technology; the first regenerator adopts incomplete regeneration technology and is equipped with two sets of external heat exchangers; the second regenerator adopts complete regeneration technology and is equipped with a regenerated catalyst degassing tank.

[0070] During the operation of the device, the flue gases from the first regenerator and the second regenerator are mixed in the flue and supplemented with air to cause the CO to burn. The high-temperature flue gas is heated by the high-temperature heat collector and then sent to the third-stage cyclone separator after cooling.

[0071] Furthermore, historical data was organized and categorized into several operating conditions based on the unit's raw material processing volume, slag blending amount, recycled oil volume, reactor outlet temperature, and reactor outlet pressure. The following describes the relevant unit basic data and operational data for one of these operating conditions, while the main operating parameters for the separation process are omitted. Table 1 shows the main properties of the feedstock oil, which is included in the raw material data within the operational data.

[0072] Table 1 Main properties of crude oil

[0073]

[0074]

[0075] Table 2 shows the basic properties of the catalyst, which are part of the basic data of the device. Table 3 shows the operating parameters of the device.

[0076] Table 2 Basic properties of catalysts

[0077]

[0078]

[0079] Table 3 Device operating parameters

[0080]

[0081] Optionally, the catalytic cracking reaction model is constructed based on the following method:

[0082] Constructing an initial reaction model, and obtaining sample device basic data and sample operation data, as well as sample product flow rate data and sample hydrogen content distribution data corresponding to the sample device basic data and the sample operation data;

[0083] Inputting the sample device basic data and the sample operation data into the initial reaction model to obtain a product flow rate prediction value and a hydrogen content distribution prediction value output by the initial reaction model;

[0084] Obtaining a total deviation based on the product flow rate prediction value and the hydrogen content distribution prediction value, as well as the sample product flow rate data and the sample hydrogen content distribution data;

[0085] If the total deviation is less than or equal to a preset value, the initial reaction model is determined to be the catalytic cracking reaction model.

[0086] Optionally, after obtaining the deviation sum, the method further includes:

[0087] If the total deviation is greater than a preset value, the parameters of the initial reaction model are adjusted to obtain a new reaction model;

[0088] The sample device basic data and operation data are input into the new reaction model until the new deviation sum is less than or equal to the preset value, and the new reaction model is determined to be the catalytic cracking reaction model.

[0089] According to the device type, raw materials and product distribution of the catalytic cracking reaction unit, the initial reaction model can be constructed by mechanism modeling using modeling software such as Aspen Plus, Hysys, and Petrosim. The initial reaction model can be a reaction-separation coupling mathematical model of the catalytic cracking reaction unit, which can calculate the product flow data and hydrogen content distribution data of the catalytic cracking reaction under different device basic data and operating data.

[0090] Multiple sample device basic data and sample operating data, as well as sample product flow rate data and sample hydrogen content distribution data corresponding to the sample device basic data and sample operating data, are obtained from the database. The sample product flow rate data and sample hydrogen content distribution data are both measured values ​​of the catalytic cracking reactor under the sample device basic data and operating data. Table 4 shows the model calculation results, specifically the product flow rate data and hydrogen content distribution data calculated by the catalytic cracking reaction model. The product flow rate data can be the material balance of the feedstock and product, and the hydrogen content distribution data can be the hydrogen mass fraction of the components of the feedstock and product.

[0091] Figure 2 Schematic diagram of the catalytic cracking reaction model training method provided by the present invention, such as Figure 2 As shown in the figure, when evaluating the accuracy of the initial reaction model, after inputting basic sample unit data and sample operation data such as feedstock data, product data, and unit operating parameters into the initial reaction model, the initial reaction model uses the modeling software's system default method, that is, the default kinetic parameters provided by Hysys for catalytic cracking reaction and heat balance calculation, etc., to obtain predicted product flow rate and hydrogen content distribution values ​​corresponding to each sample unit basic data and sample operation data. The initial reaction model includes a reaction kinetics module and a separation module.

[0092] The sample product flow rate data and the sample hydrogen content distribution data corresponding to each sample device basic data and sample operation data are respectively subtracted from the product flow rate prediction value and the hydrogen content distribution prediction value to obtain multiple deviation sums.

[0093] If any of the summed deviations is greater than a preset value δ, the parameters in the initial reaction model are adjusted until the summed deviations are less than or equal to the preset value δ. The model satisfies the accuracy requirements and is then determined to be the catalytic cracking reaction model. The preset value can be flexibly set based on the accuracy requirements for the catalytic cracking reaction model. The smaller the preset value, the higher the accuracy of the resulting catalytic cracking reaction model.

[0094] If the sum of all deviations is less than or equal to a preset value, the initial reaction model is determined to be a catalytic cracking reaction model.

[0095] Table 4 Model calculation results

[0096]

[0097]

[0098] Optionally, the target optimization model includes an objective function and preset constraints; and determining the petroleum catalytic cracking scheme includes:

[0099] If the device basic data and the operating data, as well as the product flow rate data and the hydrogen content distribution data, satisfy the preset constraints, then, based on the objective function and the preset constraints, adjusting the operating data using the product flow rate data and the hydrogen content distribution data to obtain new operating data;

[0100] Inputting the device basic data and the new operating data into the catalytic cracking reaction model to obtain new product flow rate data and new hydrogen content distribution data corresponding to the device basic data and the new operating data;

[0101] If the device basic data and the new operating data, as well as the new product flow rate data and the new hydrogen content distribution data do not meet the preset constraints, the operating data are adjusted according to the objective function and the preset constraints until the device basic data, as well as the new operating data, the new product flow rate data and the hydrogen content distribution data meet the preset constraints, and the device basic data and the new operating data, as well as the new product flow rate data and the new hydrogen content distribution data are determined to be the petroleum catalytic cracking scheme.

[0102] Optionally, if the device basic data and the new operating data, as well as the new product flow data and the new hydrogen content distribution data meet the preset constraints, the device basic data and the new operating data, as well as the new product flow data and the new hydrogen content distribution data are determined to be the petroleum catalytic cracking scheme.

[0103] First, a multi-objective optimization mathematical model for the product distribution of a catalytic cracking reactor was established using Matlab software, aiming to optimize hydrogen distribution and maximize target product yields. This model served as the target optimization model, with the following optimization objectives: maximizing liquefied petroleum gas and gasoline production, and minimizing hydrogen content in dry gas and coke. A multi-objective optimization algorithm was then applied, linking the target optimization model with the coupled mathematical model of the catalytic cracking reaction and separation. This optimization algorithm can include fuzzy optimization, multi-objective competitive algorithms, genetic algorithms, and neural networks.

[0104] The optimization objectives of the target optimization model are to optimize the hydrogen distribution of the catalytic cracking reactor products and maximize the target product yield. Optimal hydrogen distribution means minimizing the hydrogen content in dry gas and coke, while maximizing the target product yield means maximizing the yield of liquefied petroleum gas and gasoline.

[0105] The objective functions include: maximizing the output of liquefied gas and gasoline, and minimizing the hydrogen content in dry gas and coke.

[0106] Among them, the minimum function of hydrogen content in dry gas and coke is:

[0107] min y1=(F 干气 x 干气,H +F 焦炭 x 焦炭,H ) / (F 原料 x 原料,H );

[0108] The maximum function of liquefied gas and gasoline production is:

[0109] max y2=(F 液化气 +F 汽油 ) / F 原料 ;

[0110] The preset constraints include equilibrium constraints and other constraints.

[0111] Among them, the balance constraints include:

[0112] F 原料 =F 干气 +F 液化气 +F 汽油 +F 轻循环油 +F 焦炭 ;

[0113] F 原料 x 原料,H =F 干气 x 干气,H +F 液化气 x 液化气,H +F 汽油 x 汽油,H +F 轻循环油 x 轻循环油,H +F 油浆 x 油浆,H +F 焦炭 x 焦炭,H ;

[0114] Other constraints include:

[0115] C3+ content constraint in dry gas, with the constraint condition being that the volume fraction of C3+ light hydrocarbons is ≤ 3%;

[0116] The C2 content in the liquefied gas is constrained, with the C2 volume fraction being ≤ 0.4%;

[0117] The C5 content in liquefied gas is constrained, with the C5 volume fraction being ≤1%;

[0118] Gasoline ASTM D86 dry point constraint, constraint conditions are 200~204℃;

[0119] Reactor outlet temperature constraint, 480℃≤t 反应器出口 ≤520℃;

[0120] Reaction pressure constraint, 0.25MPa≤P 反应 ≤0.40MPa;

[0121] Stable gasoline circulation rate, 25-45t / h;

[0122] Reabsorbent flow rate of reabsorption tower, 30-60t / h;

[0123] Reabsorbent temperature in reabsorption tower: 30-40℃;

[0124] Product hydrogen content constraints:

[0125] (a) The hydrogen content in dry gas and coke is less than that in liquid oil products:

[0126] F 干气 x 干气,H +F 焦炭 x 焦炭,H <F 液化气 x 液化气,H +F 汽油 x 汽油,H +F 轻循环油 x 轻循环油,H +F 油浆 x 油浆,H ;

[0127] (b) The hydrogen content in the liquefied gas is greater than that in the slurry oil:

[0128] F 液化气 x 液化气,H >F 油浆 x 油浆,H ;

[0129] Among them, y1 is optimization target 1; y2 is optimization target 2; F 干气 is the dry gas flow rate, in t / h; x 干气,H is the mass fraction of hydrogen in dry gas, in %; F 液化气 is the liquefied gas flow rate, in t / h; x 液化气,H is the mass fraction of hydrogen in liquefied gas, in %; F 汽油 is the gasoline flow rate, in t / h; x 汽油,H is the mass fraction of hydrogen in gasoline, in %; F 轻循环油 is the light circulating oil flow rate, in t / h; x 轻循环油,H is the mass fraction of hydrogen in light cycle oil, in %; F 油浆 is the oil slurry flow rate, in t / h; x 油浆,H is the mass fraction of hydrogen in the oil slurry, in %; F 焦炭 is the coke flow rate, in t / h; x 焦炭，H is the mass fraction of hydrogen in coke, in %; CT is the residual carbon in raw materials, in %; t反应器出口 is the outlet temperature of the reactor (first reactor, second reactor), in °C; P 反应 is the reaction pressure, in MPa.

[0130] Figure 3 This is a flow chart of the method for adjusting the basic data and operating data of the device provided by the present invention, such as Figure 3 As shown in the figure, a data transmission platform between Matlab and Hysys is built to realize the data linkage between the target optimization model and the catalytic cracking reaction model, and Matlab's multi-objective optimization algorithm is called for optimization solution.

[0131] For the basic data and operation data of the device, under certain raw material data and device operating parameters, the catalytic cracking reaction model can simulate and calculate the product flow data, hydrogen content distribution data and other calculation results of the catalytic cracking reaction device. However, it cannot be concluded that the calculation result is the optimal one. These data need to be transferred to the target optimization model established by MATLAB. Through the target optimization model, the objective function and the formula of the preset constraints can be used for calculation:

[0132] If it is found that any calculation result under the basic data and operating data of the device does not meet the preset constraints, then within the preset constraints, the device operating parameters such as the reactor outlet temperature and pressure are adjusted and changed to obtain new operating data. The operating data and the new device basic data are returned to the catalytic cracking reaction model for simulation calculation to obtain new product flow data, new hydrogen content distribution data, etc. This logic will eventually lead to a petroleum catalytic cracking plan with the best distribution of device operating parameters within the constraints.

[0133] If the calculation results also meet the constraints, the reactor temperature, pressure and other device operating parameters will still be adjusted, and then the simulation calculation, optimization model calculation and other steps will be repeated. By calling MATLAB's own multi-objective optimization algorithm model, the best operating condition configuration plan that meets the objective function requirements can be searched, such as temperature, pressure, etc.

[0134] According to the petroleum catalytic cracking scheme acquisition method provided by the present invention, by associating the catalytic cracking reaction model with the target optimization model, the hydrogen balance calculation and analysis in the target optimization model can evaluate the rationality of the device operation. The catalytic cracking reaction model can also be associated with the online monitoring system to realize real-time online measurement of the catalytic cracking product distribution.

[0135] The product distribution optimization model of the catalytic cracking reaction unit developed by the application is used to calculate the main operating conditions under different working conditions, and obtain the optimal solution for the product distribution under the corresponding basic data and operating data of the unit. The basic data and operating data of the unit, as well as the combination of the product flow data and hydrogen content distribution data corresponding to the basic data and operating data of the unit are used as the petroleum catalytic cracking scheme for product optimization of the catalytic cracking reaction unit.

[0136] The catalytic cracking (FCC) plan includes: product flow data, such as flow rate, that satisfies material balance; and hydrogen content distribution data, such as the hydrogen content of each product, ensuring a balance between hydrogen content entering and exiting the unit. Table 5 shows the results of FCCC calculations. As shown in Table 5, when the feedstock is fixed, the target optimization model for FCCC product distribution is used to solve the following FCCC plan. This improves the unit product distribution under optimized unit operation, diverting more hydrogen resources to the target product.

[0137] Table 5 Calculation results of petroleum catalytic cracking scheme

[0138]

[0139] The petroleum catalytic cracking scheme acquisition method provided by the present invention can calculate the distribution changes of the catalytic cracking reaction device products only through the device raw material properties and main operating parameters without relying on product sampling and analysis, and thus obtain the corresponding petroleum catalytic cracking scheme.

[0140] Figure 4 This is a schematic diagram of the structure of the petroleum catalytic cracking scheme acquisition device provided by the present invention, such as Figure 4 Shown, including:

[0141] An acquisition unit 401 is configured to input basic device data and operating data of a catalytic cracking reaction into a catalytic cracking reaction model, and acquire product flow rate data and hydrogen content distribution data output by the catalytic cracking reaction model; the product flow rate data and hydrogen content distribution data are obtained by the catalytic cracking reaction model performing catalytic cracking reaction calculations and heat balance calculations on the basic device data and the operating data.

[0142] The determination unit 402 is used to input the basic data of the device and the operating data, as well as the product flow data and the hydrogen content distribution data into the target optimization model to determine the petroleum catalytic cracking scheme, where the petroleum catalytic cracking scheme is obtained by optimizing the hydrogen distribution of the basic data of the device and the operating data, as well as the product flow data and the hydrogen content distribution data through the target optimization model.

[0143] First, the acquisition unit 401 inputs the basic data and operating data of the catalytic cracking reaction device into the catalytic cracking reaction model, and obtains the product flow data and hydrogen content distribution data output by the catalytic cracking reaction model; the product flow data and the hydrogen content distribution data are obtained by the catalytic cracking reaction model performing catalytic cracking reaction calculations and heat balance calculations on the basic data and the operating data.

[0144] The catalytic cracking reaction model is constructed based on the mechanism model. On the one hand, the parameters in the model have very clear physical meanings; on the other hand, the model parameters are easy to adjust, and the resulting model has strong adaptability.

[0145] The final catalytic cracking reaction model is determined after adjusting the mathematical parameters in the catalytic cracking reaction model based on the sample device basic data and the sample operation data, as well as the sample product flow rate data and the sample hydrogen content distribution data corresponding to the sample device basic data and the sample operation data.

[0146] The operation data may include: raw material data, product data and the device operating parameters of the catalytic cracking reaction device. The product flow data must meet the material balance.

[0147] Specifically, the catalytic cracking reaction unit basic data and operational data are input into the catalytic cracking reaction model. The catalytic cracking reaction model then performs catalytic cracking reaction and heat balance calculations on these data, obtaining product flow rate data and hydrogen content distribution data corresponding to the unit basic data and operational data. Products of the catalytic cracking reaction include liquefied petroleum gas, dry gas, gasoline, light cycle oil, slurry oil, and coke.

[0148] Furthermore, the determination unit 402 inputs the device basic data and the operating data, as well as the product flow data and the hydrogen content distribution data into the target optimization model to determine the petroleum catalytic cracking scheme, which is obtained by optimizing the hydrogen distribution of the device basic data and the operating data, as well as the product flow data and the hydrogen content distribution data through the target optimization model.

[0149] The target optimization model includes: objective function and preset constraints; the objective function may include: maximum production function of liquefied gas and gasoline, and minimum hydrogen content function in dry gas and coke; the preset constraints may include: equilibrium constraints and other constraints, and other constraints may include: content constraints, temperature constraints, flow constraints and product hydrogen content constraints.

[0150] Specifically, the preset constraints are used to judge the basic data and operating data of the device, as well as the product flow data and hydrogen content distribution data. When the basic data and operating data of the device, as well as the product flow data and hydrogen content distribution data meet the preset constraints, the objective function is used to calculate the target values ​​corresponding to the basic data and operating data of the device. The target values ​​include: the maximum output of liquefied gas and gasoline, and the minimum hydrogen content in dry gas and coke.

[0151] The basic data and operating data of the device can be adjusted within the preset constraints, and multiple target values ​​can be obtained. Then, based on the multiple target values, the basic data and operating data of the device corresponding to the target values ​​of the maximum liquefied gas and gasoline production and the minimum hydrogen content in dry gas and coke, as well as the product flow rate data and hydrogen content distribution data are determined as the optimized petroleum catalytic cracking plan.

[0152] The petroleum catalytic cracking scheme acquisition device provided by the present invention can use the catalytic cracking reaction model and the target optimization model to predict product flow and hydrogen distribution and optimize the target only through the basic data and operation data of the device, thereby obtaining the hydrogen distribution optimization scheme of the catalytic cracking reaction and realizing the product distribution under the optimal hydrogen content distribution in the essential sense.

[0153] Optionally, the petroleum catalytic cracking scheme acquisition device further includes:

[0154] A construction unit is used to obtain the basic data of the catalytic cracking reaction unit, as well as the operation data, product flow data and hydrogen content distribution data of the catalytic cracking reaction unit under different operating conditions, and construct a database;

[0155] The basic data of the device include technical design data of the catalytic cracking reaction device;

[0156] The operation data includes: raw material data, product data and device operating parameters of the catalytic cracking reaction device.

[0157] Different operating conditions can be divided according to different processed raw materials, different reactor temperatures, and different reactor outlet pressures. Under different operating conditions, the basic device data and operation data of the catalytic cracking reaction unit, as well as the product flow data and hydrogen content distribution data are collected to establish a basic database.

[0158] Among them, the basic data of the device may include basic design data of the device, such as device processing scale, reactor structural parameters, basic properties of the catalyst, tower equipment data, heat exchanger equipment data, etc.

[0159] The operating data may include the device operating parameters of the catalytic cracking reaction unit, such as temperature, pressure, residence time, etc.; it may also include raw material data and product data. The raw material data includes the chemical analysis data of the raw materials, and the product data includes the chemical analysis data of the products, such as density, distillation range, sulfur content, nitrogen content, hydrogen content, etc.

[0160] It should be noted that the petroleum catalytic cracking scheme acquisition device provided in the embodiment of the present invention can be implemented based on the petroleum catalytic cracking scheme acquisition method described in any of the above embodiments during specific execution, which will not be described in detail in this embodiment.

[0161] Figure 5 Schematic diagram of the structure of the electronic device provided by the present invention, such as Figure 5 As shown, the electronic device may include: a processor (processor) 510, a communication interface (Communications Interface) 520, a memory (memory) 530 and a communication bus 540, wherein the processor 510, the communication interface 520, and the memory 530 communicate with each other through the communication bus 540. The processor 510 can call the logic instructions in the memory 530 to execute a method for obtaining a petroleum catalytic cracking scheme, which includes: inputting the basic data and operating data of the catalytic cracking reaction device into a catalytic cracking reaction model to obtain product flow data and hydrogen content distribution data output by the catalytic cracking reaction model; the product flow data and the hydrogen content distribution data are obtained by the catalytic cracking reaction model performing catalytic cracking reaction calculations and heat balance calculations on the basic data and the operating data of the device; inputting the basic data and the operating data, as well as the product flow data and the hydrogen content distribution data into a target optimization model to determine a petroleum catalytic cracking scheme, and the petroleum catalytic cracking scheme is obtained after the target optimization model performs hydrogen distribution optimization on the basic data and the operating data, as well as the product flow data and the hydrogen content distribution data.

[0162] In addition, the logic instructions in the above-mentioned memory 530 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0163] On the other hand, the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the petroleum catalytic cracking scheme acquisition method provided by the above-mentioned methods, the method including: inputting the basic data and operation data of the catalytic cracking reaction device into a catalytic cracking reaction model, and obtaining product flow data and hydrogen content distribution data output by the catalytic cracking reaction model; the product flow data and the hydrogen content distribution data are obtained by the catalytic cracking reaction model performing catalytic cracking reaction calculation and heat balance calculation on the basic data and the operation data of the device; the basic data and the operation data, as well as the product flow data and the hydrogen content distribution data are input into a target optimization model to determine the petroleum catalytic cracking scheme, and the petroleum catalytic cracking scheme is obtained after the target optimization model performs hydrogen distribution optimization on the basic data and the operation data, as well as the product flow data and the hydrogen content distribution data.

[0164] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the method for obtaining a petroleum catalytic cracking scheme provided in the above-mentioned embodiments, the method comprising: inputting basic data and operating data of the catalytic cracking reaction device into a catalytic cracking reaction model, and obtaining product flow data and hydrogen content distribution data output by the catalytic cracking reaction model; the product flow data and the hydrogen content distribution data are obtained by the catalytic cracking reaction model performing catalytic cracking reaction calculation and heat balance calculation on the basic data and the operating data of the device; the basic data and the operating data, as well as the product flow data and the hydrogen content distribution data, are input into a target optimization model to determine a petroleum catalytic cracking scheme, and the petroleum catalytic cracking scheme is obtained after hydrogen distribution optimization is performed on the basic data and the operating data, as well as the product flow data and the hydrogen content distribution data by the target optimization model.

[0165] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0166] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, or of course, by hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the existing technology can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or certain parts of the embodiments.

[0167] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for obtaining a petroleum catalytic cracking scheme, characterized in that: include: Inputting basic data and operating data of the catalytic cracking reaction device into a catalytic cracking reaction model, and obtaining product flow data and hydrogen content distribution data output by the catalytic cracking reaction model; the product flow data and the hydrogen content distribution data are obtained by the catalytic cracking reaction model performing catalytic cracking reaction calculation and heat balance calculation on the basic data and the operating data; the catalytic cracking reaction model is constructed based on the following method: Constructing an initial reaction model, and obtaining sample device basic data and sample operation data, as well as sample product flow rate data and sample hydrogen content distribution data corresponding to the sample device basic data and the sample operation data; Inputting the sample device basic data and the sample operation data into the initial reaction model to obtain a product flow rate prediction value and a hydrogen content distribution prediction value output by the initial reaction model; Obtaining a total deviation based on the product flow rate prediction value and the hydrogen content distribution prediction value, as well as the sample product flow rate data and the sample hydrogen content distribution data; If the total deviation is less than or equal to a preset value, determining that the initial reaction model is the catalytic cracking reaction model; Inputting the basic device data and the operating data, as well as the product flow rate data and the hydrogen content distribution data into a target optimization model to determine a petroleum catalytic cracking scheme, wherein the petroleum catalytic cracking scheme is obtained by performing hydrogen distribution optimization on the basic device data and the operating data, as well as the product flow rate data and the hydrogen content distribution data through the target optimization model; The target optimization model includes an objective function and preset constraints; The determination of the petroleum catalytic cracking scheme includes: If the device basic data and the operating data, as well as the product flow rate data and the hydrogen content distribution data, satisfy the preset constraints, then, based on the objective function and the preset constraints, adjusting the operating data using the product flow rate data and the hydrogen content distribution data to obtain new operating data; Inputting the device basic data and the new operating data into the catalytic cracking reaction model to obtain new product flow rate data and new hydrogen content distribution data corresponding to the device basic data and the new operating data; If the basic device data and the new operating data, as well as the new product flow rate data and the new hydrogen content distribution data do not satisfy the preset constraints, the operating data are adjusted according to the objective function and the preset constraints until the basic device data, as well as the new operating data, the new product flow rate data and the new hydrogen content distribution data satisfy the preset constraints, and the basic device data and the new operating data, as well as the new product flow rate data and the new hydrogen content distribution data are determined to be the petroleum catalytic cracking scheme; the objective function includes: a maximum production function for liquefied gas and gasoline, and a minimum hydrogen content function for dry gas and coke.

2. The method for obtaining a petroleum catalytic cracking scheme according to claim 1, characterized in that: After obtaining the deviation sum, the method further includes: If the total deviation is greater than a preset value, the parameters of the initial reaction model are adjusted to obtain a new reaction model; The sample device basic data and operation data are input into the new reaction model until the new deviation sum is less than or equal to the preset value, and the new reaction model is determined to be the catalytic cracking reaction model.

3. The method for obtaining a petroleum catalytic cracking scheme according to claim 1 or 2, characterized in that: The sample device basic data and the sample operation data are both obtained from a database; The database is established based on the following steps: Acquiring basic data of the catalytic cracking reaction unit, as well as operating data, product flow data, and hydrogen content distribution data of the catalytic cracking reaction unit under different operating conditions, to construct the database; The basic data of the device include technical design data of the catalytic cracking reaction device; The operation data includes: raw material data, product data and device operating parameters of the catalytic cracking reaction device.

4. A petroleum catalytic cracking scheme acquisition device for executing the petroleum catalytic cracking scheme acquisition method according to claim 1, characterized in that: include: an acquisition unit, configured to input basic device data and operating data of a catalytic cracking reaction into a catalytic cracking reaction model, and acquire product flow rate data and hydrogen content distribution data output by the catalytic cracking reaction model; the product flow rate data and hydrogen content distribution data are obtained by the catalytic cracking reaction model performing catalytic cracking reaction calculation and heat balance calculation on the basic device data and the operating data; A determination unit is used to input the basic data of the device and the operating data, as well as the product flow data and the hydrogen content distribution data into a target optimization model to determine a petroleum catalytic cracking scheme, wherein the petroleum catalytic cracking scheme is obtained by optimizing the hydrogen distribution of the basic data of the device and the operating data, as well as the product flow data and the hydrogen content distribution data through the target optimization model.

5. The petroleum catalytic cracking scheme acquisition device according to claim 4, characterized in that: Also includes: A construction unit is used to obtain the basic data of the catalytic cracking reaction unit, as well as the operation data, product flow data and hydrogen content distribution data of the catalytic cracking reaction unit under different operating conditions, and construct a database; The basic data of the device include technical design data of the catalytic cracking reaction device; The operation data includes: raw material data, product data and device operating parameters of the catalytic cracking reaction device.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method for obtaining a petroleum catalytic cracking scheme as described in any one of claims 1 to 3 are implemented.

7. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for obtaining a petroleum catalytic cracking scheme as claimed in any one of claims 1 to 3 are implemented.

8. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method for obtaining a petroleum catalytic cracking scheme as claimed in any one of claims 1 to 3 are implemented.

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