A method for predicting catalytic cracking gas components

Abstract

The invention discloses a method for predicting catalytic cracking gas components, and belongs to the technical field of catalytic cracking product prediction. The method comprises the following steps: calculating the hydrogen content of the raw oil in combination with the refractive index, density, relative molecular mass, sulfur content and viscosity of the raw oil; calculating the carbon content in combination with the hydrogen content, sulfur content and nitrogen content of the raw oil; calculating the yields of methane, ethane, ethylene, propane, propylene, n-butane, isobutane and butene in combination with the structural group composition, gas yield, gasoline yield, coke yield and reaction temperature of the raw oil; calculating the hydrogen yield in combination with the methane yield and the metal content of the raw oil; calculating the hydrogen sulfide yield in combination with the sulfur content and conversion rate of the raw material. The method provides a method for predicting gas composition according to conventional properties of raw materials, such as density, viscosity, residual carbon, sulfur content and distillation range, and main operating conditions, such as reaction temperature, which has a high accuracy rate and is of great significance to the optimization design of catalytic cracking units.

Description

Technical Field

[0001] The invention relates to the technical field of catalytic cracking product prediction, and in particular to a method for predicting catalytic cracking gas components. Background Art

[0002] The gas yield in the catalytic cracking process varies with the composition of the feedstock and the reaction conditions. The gas yield is not only related to the design of the device reaction system, but also to the design of the downstream product separation system. Establishing a catalytic cracking gas yield model is of great significance for guiding the optimization of device operation and design.

[0003] In the prior art, a correlation model for predicting catalytic cracking gas yield has been proposed. Specifically, the gas yield is correlated with the gas + coke yield and gasoline yield, as well as the alkane, cycloalkane, and aromatic substituent content of light oil and wax oil, and a catalytic cracking gas yield correlation model has been established. However, the model is developed based on light oil and wax oil reaction experimental data, and has certain limitations in predicting residual oil catalytic cracking gas yield; in addition, the model requires mass spectrometry analysis of the reaction raw oil. Since it is difficult for enterprises to obtain relevant analysis data in a timely manner, the promotion and application of the model is limited.

[0004] In addition, the prior art also proposes a correlation model that can predict the yield of residual oil catalytic cracking gas. The model correlates the catalytic cracking gas yield, gasoline yield, and feedstock oil composition. The correlation model does not require feedstock oil mass spectrometry analysis data. The model is not only applicable to the prediction of wax oil catalytic cracking gas yield, but also to the prediction of residual oil catalytic cracking gas yield. However, in addition to the structural group composition analysis of the feedstock oil, the model also requires group composition analysis. The feedstock oil group composition is not only difficult to analyze, but also has poor repeatability.

[0005] Furthermore, the prior art also proposes to associate the catalytic cracking gas yield with the reaction conditions, and develops a kinetic model and a correlation model suitable for predicting the catalytic cracking gas yield of wax oil or residual oil. This method requires a relatively simple analysis of the raw oil, and only requires structural group composition analysis. However, in fact, other properties of the raw oil, such as density, viscosity, residual carbon, distillation range, etc., will affect the gas yield. The above correlation model does not take these influencing factors into account and has poor adaptability to different raw materials.

[0006] In view of this, the present invention is proposed. Summary of the invention

[0007] The object of the present invention is to provide a method for predicting catalytic cracking gas components, which can predict the detailed gas composition based on conventional properties of the raw materials, such as density, carbon residue, viscosity, sulfur content, carbon residue, relative molecular mass, hydrogen content, carbon content, metal content and structural group composition.

[0008] This application can be implemented as follows:

[0009] The present application provides a method for predicting catalytic cracking gas components, comprising the following steps:

[0010] The hydrogen content of the crude oil is calculated by combining the refractive index, density, relative molecular mass, sulfur content and viscosity of the crude oil;

[0011] The carbon content is calculated by combining the hydrogen content, sulfur content and nitrogen content of the feed oil;

[0012] Calculate the yields of methane, ethane, ethylene, propane, propylene, n-butane, isobutane and butene based on the structural group composition of the crude oil, gas yield, gasoline yield, coke yield and reaction temperature;

[0013] The hydrogen yield is calculated by combining the methane yield and the metal content of the feed oil;

[0014] The hydrogen sulfide yield was calculated based on the feed sulfur content and conversion rate.

[0015] In an alternative embodiment, the refractive index is calculated as follows:

[0016]

[0017] Where RI is the refractive index, T is the ratio of the density of oil at 20°C to the density of water at 4°C. V is the volume average boiling point, and MW is the relative molecular mass.

[0018] In an alternative embodiment, MW is calculated as follows:

[0019]

[0020] Among them, T Me is the average boiling point, It is the ratio of the density of oil at 15.6°C to the density of water at 15.6°C.

[0021] In an alternative embodiment, T is calculated as follows Me and

[0022] T Me =T V -Δ Me ,

[0023]

[0024] Among them, T Me is the average boiling point, S is the distillation slope; Δ MeIt is the difference between the mean boiling point and the volume mean boiling point.

[0025] In an alternative embodiment, the volume average boiling point and the distillation range slope are calculated as follows:

[0026]

[0027] Among them, T 10 10% distillation temperature, T 30 30% distillation temperature, T 50 50% distillation temperature, T 70 70% distillation temperature, T 90 90% distillation temperature.

[0028] In an optional embodiment, the hydrogen content and the carbon content are calculated according to the following formula:

[0029] C H =52.825-14.26×RI-21.329×ρ-0.0024×MW-0.052×C S +0.757×ln(v);

[0030] C C =100-C H -C S -C N ;

[0031] Where ρ is the density, C H is the hydrogen content, C S is the sulfur content, v is the viscosity; C C is the carbon content, C N is the nitrogen content.

[0032] In an optional embodiment, the structural group composition content of the H layer with a distillation temperature>500°C, the M layer with a distillation temperature of 350 to 500°C, and the L layer with a distillation temperature<350°C is calculated as follows:

[0033]

[0034]

[0035]

[0036] Y PH =Y H -Y FAH -Y NH -Y AH ;

[0037]

[0038]

[0039] Y PM =Y M -Y NM -Y AM ;

[0040]

[0041]

[0042] Y PL =Y L -Y NL -Y AL ;

[0043] Among them, Y H , Y M and Y L Respectively represent the content of H layer, M layer and L layer, Y FAH , Y NH , Y AH and Y PH Respectively represent the content of heavy aromatics, cycloalkanes, aromatics and paraffins in the H layer, Y PM , Y NM and Y AM Respectively represent the content of M-layer paraffin, cycloparaffin and aromatic hydrocarbons, Y PL , Y NL and Y AL They represent the contents of L-layer paraffins, cycloalkanes and aromatics respectively, and CCR is the residual carbon content.

[0044] In an alternative embodiment, the paraffin and aromatic content is calculated as follows:

[0045]

[0046]

[0047]

[0048]

[0049] Where, C1=(92.44,72.5,97.08,99.57,124.76,-75.72);

[0050] C2=(-55.27,-51.32,-53.38,-55.61,-54.65,-6.948);

[0051] C3=(-265.4,-534.1,-895.4,610.2,-1457,-5349);

[0052] C4=(21.2,5.06,45.84,63.78,287.5,997.1);

[0053] C5=(23.59,40.61,15.56,11.89,-19.45,107.8);

[0054] If the residual carbon content is greater than 7, If the residual carbon content is less than 0.5, and C N Greater than 10, C N =C N -10;

[0055]

[0056]

[0057]

[0058]

[0059] Among them, C N is the paraffin content, C A is the aromatic content, γ GC is the viscosity index, WF is the corrected molecular weight, N C is the average number of C atoms in the raw material molecules, N H is the average number of H atoms in the raw material molecules, C C is the C content, C H is the H content.

[0060] In an alternative embodiment, the yields of methane, ethane, ethylene, propane, propylene, n-butane, isobutane and butene are calculated as follows:

[0061] Y i =(CF(i,1)·Y 汽油 +CF(i,2)·(Y 气体 +Y 焦炭 ))

[0062] ·(Y PH+PM CF(i,3)+Y NH+NM CF(i,4)+Y AH+AM+FAH CF(i,5)) / 100;

[0063] Y i =Y i ·(1+TEMPG(i)·(T-482)·0.018);

[0064] Among them, CF = [0.0165, 0.1220, 0.2915, 0.0558, 0.0810; -0.008, 0.3330, 0.2872, 0.27, 0.2430; -0.0069, 0.279, 0.3196, 0.114, 0.3069; -0.0349, 0.31, 0.1989, 0.2250, 0.2430 ;0.3630,0.5065,0.3106,0.1133,0.3800;-0.0431,0.1509,0.2880,0.3680,0.0870;0.0012,1.164,0.3000,0.0884,0.0530;0.1062,-0.0102,0.3282,0.3453,0.4820];

[0065] TEMPG=(0.00,-0.010,-0.010,-0.325,0.600,-0.440,-0.900,0.300);

[0066] Wherein, i represents methane, ethane, ethylene, propane, propylene, n-butane, isobutane and butene in the order from 1 to 8, and Y 汽油 is the gasoline yield, Y 气体 is the gas yield, Y 焦炭 is the coke yield, T is the reaction temperature, and TEMPG is the temperature correction coefficient.

[0067] In an optional embodiment, the hydrogen yield and the hydrogen sulfide yield are calculated according to the following formula:

[0068]

[0069]

[0070] Among them, ppm Ni ,ppm V ,ppm Sb Respectively represent the ppm of metal nickel, vanadium, and antimony, is the hydrogen yield, is the methane yield, is the hydrogen sulfide yield, C S is the sulfur content of the raw material, Y CONV Indicates the conversion rate.

[0071] The beneficial effects of this application include:

[0072] The method for predicting the composition of catalytic cracking gas proposed in the present application can predict the detailed composition of gas (including hydrogen, hydrogen sulfide, methane, ethane, ethylene, propane, propylene, n-butane, isobutane, butene) according to the conventional properties of the raw materials. The prediction method fully considers the influence of the raw material properties (density, carbon residue, viscosity, sulfur content, carbon residue, relative molecular mass, hydrogen content, carbon content, metal content and structural group composition), operating conditions and product yield on the gas composition, has a high accuracy rate, and is of great significance to the optimization design of the catalytic cracking unit. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0074] Figure 1 This is a comparison chart of the predicted results in the examples of this application and the actual values ​​of the industrial device. DETAILED DESCRIPTION

[0075] In order to make the purpose, technical scheme and advantages of the embodiments of the present invention clearer, the technical scheme in the embodiments of the present invention will be described clearly and completely below. If the specific conditions are not specified in the embodiments, they are carried out according to conventional conditions or conditions recommended by the manufacturer. If the manufacturer of the reagents or instruments used is not specified, they are all conventional products that can be purchased commercially.

[0076] The method for predicting catalytic cracking gas components provided in the present application is described in detail below.

[0077] The present application proposes a method for predicting catalytic cracking gas components, comprising the following steps:

[0078] The hydrogen content of the crude oil is calculated by combining the refractive index, density, relative molecular mass, sulfur content and viscosity of the crude oil;

[0079] The carbon content is calculated by combining the hydrogen content, sulfur content and nitrogen content of the feed oil;

[0080] The yields of methane, ethane, ethylene, propane, propylene, n-butane, isobutane and butene are calculated based on the structural group composition of the crude oil, gas yield, gasoline yield, coke yield and reaction temperature;

[0081] The hydrogen yield is calculated by combining the methane yield and the metal content of the feed oil;

[0082] The hydrogen sulfide yield was calculated based on the feed sulfur content and conversion rate.

[0083] In an alternative embodiment, the refractive index may be calculated as follows:

[0084]

[0085] Where RI is the refractive index, T is the ratio of the density of oil at 20°C to the density of water at 4°C. V is the volume average boiling point (in K), and MW is the relative molecular mass (in g / mol).

[0086] Among them, MW can be calculated as follows:

[0087]

[0088] Among them, T Me is the average boiling point (in K), It is the ratio of the density of oil at 15.6°C to the density of water at 15.6°C.

[0089] T Me and Can be calculated as follows:

[0090] T Me =T V -Δ Me ,

[0091]

[0092] Among them, T Me is the average boiling point (in K) S is the distillation slope; Δ Me It is the difference between the mean boiling point and the volume mean boiling point.

[0093] The volume average boiling point and distillation range slope can be calculated as follows:

[0094]

[0095] Among them, T 10 is the 10% distillation temperature (i.e. the temperature corresponding to the distillation of 10% of the volume), T 30 30% distillation temperature, T 50 50% distillation temperature, T 70 70% distillation temperature, T 90 90% distillation temperature.

[0096] Further, the hydrogen content and carbon content can be calculated according to the following formula:

[0097] C H=52.825-14.26×RI-21.329×ρ-0.0024×MW-0.052×C S +0.757×ln(v);

[0098] C C =100-C H -C S -C N ;

[0099] Where ρ is the density (in g / cm 3 ), C H is the hydrogen content (mass percentage, unit is %), C S is the sulfur content (mass percentage, unit is %), v is the viscosity (unit is mm 2 / s, 100℃); C C is the carbon content (mass percentage, unit is %), C N is the nitrogen content (mass percentage, unit is %).

[0100] For reference, the structural group composition content of the H layer with a distillation temperature > 500°C, the M layer with a distillation temperature of 350 to 500°C, and the L layer with a distillation temperature < 350°C can be calculated as follows:

[0101]

[0102]

[0103]

[0104] Y PH =Y H -Y FAH -Y NH -Y AH ;

[0105]

[0106]

[0107] Y PM =Y M -Y NM -Y AM ;

[0108]

[0109]

[0110] Y PL =Y L -Y NL -YAL ;

[0111] Among them, Y H , Y M and Y L Respectively represent the content of H layer, M layer and L layer (referring to mass percentage, the unit is %), Y FAH , Y NH , Y AH and Y PH Respectively represent the contents of heavy aromatics, cycloalkanes, aromatics and paraffins in the H layer (in mass percentage, all in %), Y PM , Y NM and Y AM Respectively represent the content of M-layer paraffin, cycloparaffin and aromatic hydrocarbon (mass percentage, unit is %), Y PL , Y NL and Y AL They represent the contents of L-layer paraffins, cycloalkanes and aromatics respectively (in mass percentage, both in %), and CCR represents the residual carbon content (in mass percentage, both in %).

[0112] Among them, the content of paraffin and aromatic hydrocarbons can be calculated as follows:

[0113]

[0114]

[0115]

[0116]

[0117] Where, C1=(92.44,72.5,97.08,99.57,124.76,-75.72);

[0118] C2=(-55.27,-51.32,-53.38,-55.61,-54.65,-6.948);

[0119] C3=(-265.4,-534.1,-895.4,610.2,-1457,-5349);

[0120] C4=(21.2,5.06,45.84,63.78,287.5,997.1);

[0121] C5=(23.59,40.61,15.56,11.89,-19.45,107.8);

[0122] If the residual carbon content is greater than 7, If the residual carbon content is less than 0.5, and CN Greater than 10, C N =C N -10;

[0123]

[0124]

[0125]

[0126]

[0127] Among them, C N is the content of paraffin (mass percentage, unit is %), C A is the aromatic content (mass percentage, unit is %), γ GC is the viscosity index, WF is the corrected molecular weight, N C is the average number of C atoms in the raw material molecules, N H is the average number of H atoms in the raw material molecules, C c is the C content, C H is the H content.

[0128] Further, the yields of methane, ethane, ethylene, propane, propylene, n-butane, isobutane and butene were calculated as follows:

[0129] Y i =(CF(i,1)·Y 汽油 +CF(i,2)·(Y 气体 +Y 焦炭 ))·(Y PH+PM CF(i,3)+Y NH+NM CF(i,4)+Y AH+AM+FAH CF(i,5)) / 100;

[0130] Y i =Y i ·(1+TEMPG(i)·(T-482)·0.018);

[0131] Among them, CF = [0.0165, 0.1220, 0.2915, 0.0558, 0.0810; -0.008, 0.3330, 0.2872, 0.27, 0.2430; -0.0069, 0.279, 0.3196, 0.114, 0.3069; -0.0349, 0.31, 0.1989, 0.2250, 0.2430 ;0.3630,0.5065,0.3106,0.1133,0.3800;-0.0431,0.1509,0.2880,0.3680,0.0870;0.0012,1.164,0.3000,0.0884,0.0530;0.1062,-0.0102,0.3282,0.3453,0.4820];

[0132] TEMPG=(0.00,-0.010,-0.010,-0.325,0.600,-0.440,-0.900,0.300);

[0133] Wherein, i represents methane, ethane, ethylene, propane, propylene, n-butane, isobutane and butene in the order from 1 to 8, and Y 汽油 is the gasoline yield, Y 气体 is the gas yield, Y 焦炭 is the coke yield, T is the reaction temperature (in °C), and TEMPG is the temperature correction coefficient.

[0134] Further, the hydrogen yield and hydrogen sulfide yield were calculated according to the following formula:

[0135]

[0136]

[0137] Among them, ppm Ni ,ppm V ,ppm Sb Respectively represent the ppm of metal nickel, vanadium, and antimony, is the hydrogen yield, is the methane yield, is the hydrogen sulfide yield, C S is the sulfur content of the raw material, Y CONV It represents the conversion rate (in %).

[0138] It should be noted that other modeling processes and other parameters not disclosed in this application can refer to similar prior art and will not be elaborated herein.

[0139] In addition, the present application also provides a modeling device for predicting catalytic cracking gas components, which includes a modeling module for modeling the above-mentioned method for predicting catalytic cracking gas components.

[0140] Furthermore, the present application also provides an electronic device, which includes a processor and a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the steps in the above-mentioned method for predicting catalytic cracking gas components are executed.

[0141] Furthermore, the present application provides a readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps in the above-mentioned method for predicting catalytic cracking gas components are executed.

[0142] Among them, the electronic device may include a modeling device for predicting catalytic cracking gas components, a memory, a storage controller, a processor, a peripheral interface, an input and output unit, an audio unit and a display unit.

[0143] The above-mentioned memory, storage controller, processor, peripheral interface, input / output unit, audio unit, and display unit are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, these elements can be electrically connected to each other through one or more communication buses or signal lines. The modeling device for predicting catalytic cracking gas components includes at least one software function module that can be stored in the memory in the form of software or firmware or solidified in the operating system (OS) of the modeling device for predicting catalytic cracking gas components. The processor is used to execute the executable module stored in the memory, such as the software function module or computer program included in the modeling device for predicting catalytic cracking gas components.

[0144] The memory may be, but is not limited to, a random access memory (RAM), a read-only memory (ROM), a programmable read-only memory (PROM), an erasable read-only memory (EPROM), an electrically erasable read-only memory (EEPROM), etc. The memory is used to store programs, and the processor executes the corresponding program after receiving the execution instruction. The method executed by the server defined by the flow process involved in this application can be applied to the processor or implemented by the processor.

[0145] The processor can be an integrated circuit chip with signal processing capabilities. The above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The disclosed methods, steps and logic block diagrams in the embodiments of the present invention can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.

[0146] The peripheral interface couples various input / output devices to the processor and the memory. For reference, the peripheral interface, the processor, and the memory controller can be implemented in a single chip, or they can be implemented by separate chips.

[0147] The input and output unit is used to provide input data to the user to realize the interaction between the user and the server (or local terminal). The input and output unit can be, but is not limited to, a mouse and a keyboard.

[0148] The audio unit provides an audio interface to the user and may include one or more microphones, one or more speakers, and audio circuitry.

[0149] The display unit provides an interactive interface (e.g., a user operation interface) between the electronic device and the user or is used to display image data for the user's reference. For reference, the display unit may be a liquid crystal display or a touch display. If it is a touch display, it may be a capacitive touch screen or a resistive touch screen that supports single-point and multi-point touch operations. Supporting single-point and multi-point touch operations means that the touch display can sense touch operations generated simultaneously from one or more locations on the touch display, and the sensed touch operations are handed over to the processor for calculation and processing.

[0150] The peripheral interface couples various input / output devices to the processor and the memory. For reference, the peripheral interface, the processor and the memory controller can be implemented in a single chip, or they can be implemented by separate chips.

[0151] The input and output unit is used to provide input data to the user to realize the interaction between the user and the processing terminal. The input and output unit can be, but is not limited to, a mouse and a keyboard.

[0152] It is worth noting that the electronic device of the present application may also include more or fewer components than those disclosed above, or have a configuration different from the above. The above components may be implemented by hardware, software or a combination thereof.

[0153] The features and performance of the present invention are further described in detail below in conjunction with the embodiments.

[0154] Example 1

[0155] This embodiment provides a method for predicting the composition of catalytic cracking gas, and the calculation method is as follows:

[0156] Calculate the relative molecular mass, hydrogen content, carbon content, etc. based on the conventional properties of the crude oil, such as distillation range, density, viscosity, residual carbon, sulfur content, etc.;

[0157] Establish a correlation model for the structural group composition of crude oil, and calculate the structural group composition of crude oil based on density, distillation range, viscosity, hydrogen content, carbon content, and relative molecular mass;

[0158] Calculate the yields of methane, ethane, ethylene, propane, propylene, n-butane, isobutane and butene according to the structural group composition of the crude oil, the yields of gas, gasoline and coke, and the reaction temperature;

[0159] Calculate hydrogen yield based on methane yield, metal content of feedstock oil, etc.;

[0160] The hydrogen sulfide yield is calculated based on the raw material sulfur content and conversion rate.

[0161] The specific calculation formula can be found in the above content and will not be elaborated here.

[0162] This example involves the operating data of a known catalytic cracking unit of a certain refinery. The raw material properties are shown in Table 1, the main operating conditions and product distribution are shown in Table 2, and the gas composition is shown in Table 3.

[0163] Table 1 Raw oil properties

[0164]

[0165] Table 1 (Continued) Raw Oil Properties

[0166]

[0167]

[0168] Table 1 (Continued) Raw Oil Properties

[0169]

[0170] Table 1 (Continued) Raw Oil Properties

[0171]

[0172]

[0173] Table 2 Main operating conditions and product distribution

[0174]

[0175] Table 2 (Continued) Main operating conditions and product distribution

[0176]

[0177] Table 2 (Continued) Main operating conditions and product distribution

[0178]

[0179]

[0180] Table 2 (Continued) Main operating conditions and product distribution

[0181]

[0182] Table 3 Gas composition

[0183]

[0184] Table 3 (Continued) Gas composition

[0185]

[0186]

[0187] Table 3 (Continued) Gas composition

[0188]

[0189] Table 3 (Continued) Gas composition

[0190]

[0191] The method for predicting gas composition proposed in this application is used to predict gas composition based on the raw material data in Table 1 and the main operating conditions and product distribution in Table 2.

[0192] The comparison between the predicted results and the actual values ​​of the industrial device is shown in the following figure: Figure 1 As shown, the X-axis represents the industrial device operation data and the Y-axis represents the fitting data.

[0193] Depend on Figure 1 It can be seen that all points are distributed around the diagonal line, which means that the model has good fitness and the simulation results are ideal.

[0194] In summary, the method for predicting the composition of catalytic cracking gas proposed in the present application can predict the detailed gas composition (including hydrogen, hydrogen sulfide, methane, ethane, ethylene, propane, propylene, n-butane, isobutane, butene) according to the conventional properties of the raw materials. The prediction method fully considers the influence of the raw material properties (density, carbon residue, viscosity, sulfur content, carbon residue, relative molecular mass, hydrogen content, carbon content, metal content and structural group composition), operating conditions and product yield on the gas composition, has a high accuracy rate, and is of great significance to the optimization design of the catalytic cracking unit.

[0195] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for predicting catalytic cracking gas components, characterized in that: The following steps are involved: The hydrogen content of the crude oil is calculated by combining the refractive index, density, relative molecular mass, sulfur content and viscosity of the crude oil; The carbon content is calculated by combining the hydrogen content, sulfur content and nitrogen content of the feed oil; Calculate the yields of methane, ethane, ethylene, propane, propylene, n-butane, isobutane and butene based on the structural group composition of the crude oil, gas yield, gasoline yield, coke yield and reaction temperature; The hydrogen yield is calculated by combining the methane yield and the metal content of the feed oil; The hydrogen sulfide yield is calculated based on the sulfur content of the feedstock and the conversion rate; The hydrogen content and carbon content are calculated according to the following formula: ； ； in, ρ is the density, is the hydrogen content, is the sulfur content, is viscosity; is the carbon content, is the nitrogen content; RI is the refractive index, MW is the relative molecular mass; The yields of methane, ethane, ethylene, propane, propylene, n-butane, isobutane and butenes were calculated as follows: ； ； Among them, CF=[0.0165,0.1220,0.2915,0.0558,0.0810; -0.008,0.3330,0.2872,0.27,0.2430； -0.0069,0.279,0.3196,0.114,0.3069； -0.0349,0.31,0.1989,0.2250,0.2430； 0.3630,0.5065,0.3106,0.1133,0.3800； -0.0431,0.1509,0.2880,0.3680,0.0870； 0.0012,1.164,0.3000,0.0884,0.0530； 0.1062,-0.0102,0.3282,0.3453,0.4820]； TEMPG=(0.00,-0.010,-0.010,-0.325,0.600,-0.440,-0.900,0.300); in, i In order from 1 to 8, they represent methane, ethane, ethylene, propane, propylene, n-butane, isobutane and butene. is the gasoline yield, is the gas yield, is the coke yield; T is the reaction temperature, TEMPG is the temperature correction coefficient; The hydrogen yield and hydrogen sulfide yield were calculated according to the following formula: ； ； in, , , Respectively represent the ppm of metal nickel, vanadium, and antimony, is the hydrogen yield, is the methane yield, is the hydrogen sulfide yield, is the sulfur content of the raw material, Indicates the conversion rate.

2. The method according to claim 1, characterized in that Calculate the refractive index as follows: ； in, RI is the refractive index, It is the ratio of the density of oil at 20°C to the density of water at 4°C. is the volume average boiling point, MW is the relative molecular mass.

3. The method according to claim 2, characterized in that Calculated as follows MW : ； in, is the average boiling point, It is the ratio of the density of oil at 15.6°C to the density of water at 15.6°C.

4. The method according to claim 3, characterized in that Calculated as follows and : ， ； ； in, is the average boiling point, S is the distillation slope; It is the difference between the mean boiling point and the volume mean boiling point.

5. The method according to claim 4, characterized in that The volume average boiling point and distillation range slope are calculated as follows: ， ； in, T 10 10% distillation temperature, T 30 30% distillation temperature, T 50 50% distillation temperature, T 70 70% distillation temperature, T 90 It is 90% distillation temperature.

6. The method according to claim 5, characterized in that The structural group composition content of the H layer with a distillation temperature > 500°C, the M layer with a distillation temperature between 350 and 500°C, and the L layer with a distillation temperature < 350°C is calculated as follows: ； ； ； ； ； ； ； ； ； ； in, , and Respectively represent the content of H layer, M layer and L layer, Y FAH , Y NH , Y AH and Y PH Respectively represent the contents of H-layer heavy aromatics, cycloalkanes, aromatics and paraffins, Y PM , Y NM and Y AM Respectively represent the content of M-layer paraffins, cycloalkanes and aromatics, Y PL , Y NL and Y AL They represent the contents of L-layer paraffins, cycloalkanes and aromatics respectively, and CCR is the residual carbon content.

7. The method according to claim 6, characterized in that The paraffin and aromatic content is calculated as follows: ； ； ； ； in, C 1=(92.44,72.5,97.08,99.57,124.76,-75.72); C 2=（-55.27,-51.32,-53.38,-55.61,-54.65,-6.948）； C 3=（-265.4,-534.1,-895.4,610.2,-1457,-5349）； C 4=（21.2,5.06,45.84,63.78,287.5,997.1）； C 5=（23.59,40.61,15.56,11.89,-19.45,107.8）； If the residual carbon content is greater than 7, ; If the residual carbon content is less than 0.5, and Greater than 10, ; ； ； ； ； in, is the paraffin content, is the aromatic content, is the viscosity index, WF To correct for molecular weight, is the average number of C atoms in the raw material molecules, is the average number of H atoms in the raw material molecules, is the C content, is the H content.

Images