Method for predicting the carbon residue number of a heavy oil hydrogenation product

Abstract

The present disclosure relates to a method for predicting the carbon residue value of heavy oil hydrogenation product oil, which comprises: obtaining a heavy oil raw material, and obtaining characterization data of characteristic properties of the heavy oil raw material; obtaining a to-be-tested hydrogenation product oil, which is obtained after the heavy oil raw material is subjected to a hydrogenation and carbon residue removal reaction; substituting the characterization data of the characteristic properties of the heavy oil raw material into a characteristic factor equation of the hydrogenation and carbon residue removal reaction to calculate a characteristic factor of the hydrogenation and carbon residue removal reaction; substituting the characteristic factor into a characteristic factor-reaction rate constant relationship equation of the hydrogenation and carbon residue removal reaction to calculate a reaction rate constant of the hydrogenation and carbon residue removal reaction; and substituting the reaction rate constant into a reaction kinetics equation of the hydrogenation and carbon residue removal reaction to calculate a predicted value of the carbon residue value of the to-be-tested hydrogenation product oil. The method of the present disclosure can achieve accurate prediction of the carbon residue value of heavy oil hydrogenation product oil.

Description

Technical Field

[0001] This disclosure relates to a method for predicting the carbon residue value of heavy oil produced by hydrogenation. Background Technology

[0002] The increasing severity and deterioration of crude oil quality worldwide, coupled with the growing demand for high-quality light petroleum products, has made heavy oil processing and full utilization a major focus of the refining industry. Heavy oil hydrotreating is a widely used deep processing technology for heavy oil. Compared to non-hydrogen-exposed processes, its most significant advantage is higher liquid product yield, allowing for full utilization of valuable petroleum resources, thus making its application prospects quite broad. Heavy oil hydrotreating processes are mainly divided into four types: fixed-bed, fluidized-bed, moving-bed, and slurry-bed. Among these, fixed-bed heavy oil hydrotreating technology is mature, easy to operate, has relatively low investment costs, and significantly increases the hydrogen content of the product, making it the most widely used in industrial applications.

[0003] Reaction kinetic models, used to describe the relationship between chemical reaction rates and reactant concentrations, are a crucial component of process research. By establishing heavy oil reaction kinetic models, the properties of products (heavy oil hydrotreating products) under different conditions can be predicted using a small number of parameters, or process conditions can be determined based on the requirements of feedstock and product properties. However, due to the complexity of heavy oil hydrotreating processes, the significant differences in the properties of different feedstocks (e.g., atmospheric residue and vacuum residue), and catalyst conditions, it is often difficult to obtain universally applicable kinetic models, and the accuracy of product property predictions based on corresponding kinetic models is also low. Summary of the Invention

[0004] The purpose of this disclosure is to provide a method for predicting the carbon residue value of heavy oil hydrotreating products using a reaction kinetic model and to improve the accuracy of the prediction.

[0005] To achieve the above objectives, this disclosure provides a method for predicting the carbon residue value of heavy oil hydrotreating products, the method comprising:

[0006] Obtain heavy oil feedstock and acquire characterization data of the characteristic properties of the heavy oil feedstock, wherein the characteristic properties include at least one of sulfur content, metal component content, hydrocarbon component content, carbon residue value, and viscosity;

[0007] Obtain the hydrotreated product oil to be tested, wherein the hydrotreated product oil to be tested is obtained by hydrotreating the heavy oil feedstock to remove residual carbon;

[0008] Substitute the characterization data of the heavy oil feedstock into the characteristic factor equation of the hydrodecarbonization reaction to calculate the characteristic factor of the hydrodecarbonization reaction; wherein, the characteristic factor equation is as follows (1):

[0009] HCCR =S a +U b +A c +CCR d +Q e (1)

[0010] In equation (1), H CCR The following are the characteristic factors: S represents sulfur content (in weight %), a is the sulfur content fitting index, U represents the metal component content factor, b is the metal component content factor fitting index, A represents the hydrocarbon component content factor, c is the hydrocarbon component content factor fitting index, CCR represents the carbon residue value (in weight %), d is the carbon residue value fitting index, Q represents the viscosity factor, and e is the viscosity factor fitting index.

[0011] Substitute the characteristic factor into the characteristic factor-reaction rate constant relationship equation of the hydrodecarbonization reaction to calculate the reaction rate constant of the hydrodecarbonization reaction; wherein, the characteristic factor-reaction rate constant relationship equation is a linear regression fitting equation with the characteristic factor as the independent variable and the reaction rate constant as the dependent variable;

[0012] Substitute the reaction rate constant into the reaction kinetic equation of the hydrodecarbonization reaction to calculate the predicted carbon residue value of the hydrogenated oil to be tested.

[0013] Optionally, the characteristic properties include carbon residue, nickel content, vanadium content, saturated and aromatic content, resin and asphaltenes content, carbon residue, and viscosity;

[0014] In equation (1), U is calculated according to equation (2), A is calculated according to equation (3), and Q is calculated according to equation (4):

[0015]

[0016] In equation (2), m v This represents vanadium content, expressed in ppm, m Ni This represents the nickel content, and the unit is ppm.

[0017]

[0018] In equation (3), m 饱和分芳香分 Represents the content of saturated and aromatic components, with units of weight %, m 胶质沥青质 Represents the content of resins and asphaltenes, and the unit is % by weight;

[0019] Q = logμ (4)

[0020] In equation (4), μ represents the viscosity at 100℃ and the unit is mm. 2 / s;

[0021] In formula (1), a is 0.085 to 0.10, b is 0.005 to 0.016, c is 0.005 to 0.018, d is -0.013 to -0.005, and e is -1.2 to -0.8.

[0022] Optionally, the characteristic factor-reaction rate constant relationship equation is as follows (5):

[0023] k CCR =pH CCR -q (5)

[0024] In equation (5), k CCR The value represents the reaction rate constant, where p is 0.05–0.1 and q is 0.2–0.4.

[0025] Optionally, the reaction kinetic equation is as follows (6):

[0026]

[0027] In equation (6), C CCR The carbon residue value of the tested hydrotreated oil is expressed in weight %, C CCR0 The value of carbon residue of the heavy oil feedstock is expressed as % by weight; t represents the residence time of the heavy oil feedstock after passing through the hydrogenation catalyst in hours; and n represents the reaction order of the hydrogenation decarbonization reaction.

[0028] Optionally, in equation (6), n is 1.3 to 2.2.

[0029] Optionally, the heavy oil feedstock is atmospheric residue, and the 5% by weight distillation temperature of the heavy oil feedstock is above 350°C; and / or,

[0030] The heavy oil feedstock has a sulfur content of 1.0–7.0% by weight and a nitrogen content of 0.01–0.6% by weight.

[0031] Optionally, the hydrodecarbonization reaction is carried out in a fixed-bed reactor, which is packed with a hydrocatalyst.

[0032] Optionally, the hydrodesulfurization catalyst includes an active metal component and a support;

[0033] The active metal component is selected from at least one of nickel-tungsten, nickel-tungsten-cobalt, nickel-molybdenum, and cobalt-molybdenum; the support is selected from at least one of alumina, silicon dioxide, and amorphous aluminum silicate.

[0034] Optionally, the hydrogenation catalyst comprises a hydrogenation protective agent, a hydrogenation demetallizing agent, and a hydrogenation desulfurization and decarbonization agent loaded sequentially.

[0035] The volume ratio of the hydrogenation protective agent, the hydrogenation demetallizing agent, and the hydrogenation desulfurization and decarbonization agent is 1:(5-14):(5-14).

[0036] Optionally, the conditions for the hydrogenation decarbonization reaction include: a temperature of 320–450°C, a pressure of 10–22 MPa, and a liquid hourly space velocity of 0.05–1.0 h⁻¹. -1 The hydrogen-to-oil volume ratio is 250–1500 Nm. 3 / m 3 .

[0037] Through the above technical solution, this disclosure calculates the characteristic factors and reaction rate constants of the hydrodecarbonization reaction of heavy oil feedstock based on its specific characteristic properties, and obtains the predicted carbon residue value of the hydrogenated oil by combining the reaction kinetic equations. Using the method of this disclosure, accurate prediction of the carbon residue value of the hydrogenated oil from heavy oil can be achieved.

[0038] Other features and advantages of this disclosure will be described in detail in the following detailed description section. Attached Figure Description

[0039] The accompanying drawings are provided to further illustrate the present disclosure and form part of the specification. They are used together with the following detailed description to explain the present disclosure, but do not constitute a limitation thereof. In the drawings:

[0040] Figure 1 This is a flowchart of a method for predicting the carbon residue value of heavy oil hydrotreating product according to a specific embodiment of the present disclosure. Detailed Implementation

[0041] The specific embodiments of this disclosure will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit this disclosure.

[0042] This disclosure provides a method for predicting the carbon residue value of heavy oil hydrotreating products, with reference to... Figure 1 The method includes the following steps S101 to S105:

[0043] S101. Obtain heavy oil feedstock and obtain characterization data of the characteristic properties of the heavy oil feedstock, wherein the characteristic properties include at least one of sulfur content, metal component content, hydrocarbon component content, carbon residue value and viscosity.

[0044] S102. Obtain the hydrogenated oil to be tested, wherein the hydrogenated oil to be tested is obtained by hydrogenating and decarbonizing the heavy oil feedstock.

[0045] S103. Substitute the characterization data of the heavy oil feedstock into the characteristic factor equation of the hydrodecarbonization reaction to calculate the characteristic factor of the hydrodecarbonization reaction; wherein, the characteristic factor equation is as follows (1):

[0046] H CCR =S a +U b +A c +CCR d +Q e (1)

[0047] In equation (1), H CCR The following are the characteristic factors: S represents sulfur content (wt%), a is the sulfur content fitting index, U represents the metal component content factor, b is the metal component content factor fitting index, A represents the hydrocarbon component content factor, c is the hydrocarbon component content factor fitting index, CCR represents the carbon residue value (wt%), d is the carbon residue value fitting index, Q represents the viscosity factor, and e is the viscosity factor fitting index.

[0048] S104. Substitute the characteristic factor into the characteristic factor-reaction rate constant relationship equation of the hydrodecarbonization reaction to calculate the reaction rate constant of the hydrodecarbonization reaction; wherein, the characteristic factor-reaction rate constant relationship equation is a linear regression fitting equation with the characteristic factor as the independent variable and the reaction rate constant as the dependent variable.

[0049] S105. Substitute the reaction rate constant into the reaction kinetic equation of the hydrodecarbonization reaction to calculate the predicted carbon residue value of the hydrogenated oil to be tested.

[0050] In step S101, the heavy oil feedstock can be atmospheric residue oil; specifically, the 5% by weight distillation temperature of the heavy oil feedstock can be above 350°C. This method is applicable to heavy oil feedstocks of various properties; specifically, the heavy oil feedstock can satisfy at least one of the following characteristics: viscosity can be 30–1500 mm³ / s. 2 / s, sulfur content can be 1.0 to 7.0 wt%, nitrogen content can be 0.01 to 0.6 wt%, carbon residue can be 6 to 20 wt%, metal content can be 30 to 300 ppm, saturated and aromatic content can be 50 to 85 wt%, and resin and asphaltenes content can be 15 to 50 wt%.

[0051] In a preferred embodiment, the sulfur content of the heavy oil feedstock is 1.5–6.0% by weight, more preferably 3.0–5.0% by weight; the nitrogen content is 0.02–0.5% by weight, more preferably 0.1–0.4% by weight. The method disclosed herein is particularly applicable to heavy oil feedstocks with sulfur and nitrogen contents within the above-mentioned ranges, and provides high accuracy in predicting the carbon residue value of the hydrogenated oil obtained after hydrotreating the heavy oil feedstock.

[0052] The aforementioned characteristic properties are the parameters used to establish the characteristic factor equation for the hydrodecarbonization reaction. The inventors of this disclosure have discovered that the sulfur content, metal component content, hydrocarbon component content, carbon residue value, and viscosity of the heavy oil feedstock have specific influences on the hydrodecarbonization reaction and the properties of the resulting hydrogenated oil. Establishing the characteristic factor equation using these characteristic properties is beneficial for accurately predicting the carbon residue value of the hydrogenated oil. Furthermore, the metal components in the heavy oil feedstock may include nickel, vanadium, iron, calcium, etc.; the hydrocarbon components in the heavy oil feedstock may include, for example, saturated and aromatic components, gums, and asphaltenes. These characteristic properties are readily available in petroleum refineries and laboratories, making the method of this disclosure easy to implement.

[0053] In a preferred embodiment, the characteristic properties include sulfur content, nickel content, vanadium content, saturated and aromatic content, resin and asphaltenes content, carbon residue, and viscosity. The sulfur content can be obtained using the GB / T 17040-2008 method; the nickel and vanadium content can be obtained using the SH / T 0715 method; the saturated, aromatic, resin, and asphaltenes content can be obtained using the SH / T 0509 method; the carbon residue can be obtained using the GB / T 17144-1997 method; and the viscosity can be obtained using the GB / T 11137-1989(2004) method.

[0054] In step S102, the hydrogenation decarbonization reaction can be carried out in a fixed-bed reactor, which is packed with a hydrogenation catalyst. The hydrogenation catalyst can be any commonly used material in the art; specifically, the hydrogenation catalyst may include an active metal component and a support. The active metal component may be at least one selected from nickel-tungsten, nickel-tungsten-cobalt, nickel-molybdenum, and cobalt-molybdenum; the support may be at least one selected from alumina, silica, and amorphous silica-alumina.

[0055] Further, the hydrogenation catalyst may include a hydrogenation protectant, a hydrogenation demetallizer, and a hydrogenation desulfurization and decarbonization agent sequentially packed in the fixed-bed reactor. The hydrogenation protectant is used to remove most of the iron, calcium, and sodium from the residue oil, improving scale resistance; the hydrogenation demetallizer is used to remove metallic impurities from the heavy oil feedstock, mainly nickel and vanadium; and the hydrogenation desulfurization and decarbonization agent is used to remove sulfides, nitrides, and residual carbon from the heavy oil feedstock. The dosage ratio of the hydrogenation protectant, the hydrogenation demetallizer, and the hydrogenation desulfurization and decarbonization agent can be adjusted within a certain range. Specifically, the volume ratio of the hydrogenation protectant, the hydrogenation demetallizer, and the hydrogenation desulfurization and decarbonization agent can be 1:(5-14):(5-14), preferably 1:(7-12):(7-12).

[0056] The conditions for the hydrogenation decarbonization reaction may include: a temperature of 320–450°C, a pressure of 10–22 MPa, and a liquid hourly space velocity of 0.05–1.0 h⁻¹. -1 The hydrogen-to-oil volume ratio is 250–1500 Nm. 3 / m 3 .

[0057] In step S103, the characteristic factor equation of the hydrodecarbonization reaction can be obtained by using the characterization data of the existing heavy oil hydrodecarbonization reaction process through a multivariate power function fitting method, and can be obtained using common fitting software such as 1stOpt.

[0058] In embodiments where the characteristic properties include sulfur content, nickel content, vanadium content, saturated and aromatic content, resin and asphaltenes content, carbon residue, and viscosity, in formula (1), U is calculated according to formula (2), A is calculated according to formula (3), and Q is calculated according to formula (4):

[0059]

[0060] In equation (2), m v Represents vanadium content (ppm), m Ni Represents nickel content (ppm);

[0061]

[0062] In equation (3), m 饱和分芳香分 m represents the content of saturated and aromatic components (wt%). 胶质沥青质 Represents the content of resins and asphalt (by weight %);

[0063] Q = logμ (4)

[0064] In equation (4), μ represents viscosity (100℃, mm). 2 / s).

[0065] Furthermore, in equation (1), a can be 0.085 to 0.10, for example 0.087 to 0.091 or 0.090 to 0.095; b can be 0.005 to 0.016, for example 0.006 to 0.009 or 0.010 to 0.015; c can be 0.005 to 0.018, for example 0.007 to 0.010 or 0.011 to 0.015; d can be -0.013 to -0.005, for example -0.015 to -0.010 or -0.009 to -0.006; e can be -1.2 to -0.8, for example -1.18 to -0.98 or -0.95 to -0.87; when each fitting index is within the above range, it is beneficial to improve the prediction accuracy of the residual carbon value of hydrogenated oil. For example, a can be 0.09, b can be 0.01, c can be 0.01, d can be -0.01, and e can be -0.923; or a can be 0.093, b can be 0.008, c can be 0.013, d can be -0.007, and e can be -1.083.

[0066] In step S104, the characteristic factor-reaction rate constant relationship equation of the hydrodecarbonization reaction can be obtained by fitting existing characterization data of heavy oil hydrodecarbonization reaction process through linear regression fitting method.

[0067] In one specific embodiment, the characteristic factor-reaction rate constant relationship equation is as follows (5):

[0068] k CCR =pH CCR -q (5)

[0069] In equation (5), k CCR represents the reaction rate constant, and p and q are fitting coefficients, both of which are constants.

[0070] Furthermore, p can be 0.05–0.1, and q can be 0.2–0.4. Fitting coefficients within these ranges are beneficial for improving the prediction accuracy of residual carbon values ​​in hydrotreated oils. For example, p can be 0.078, and q can be 0.320.

[0071] In step S105, the reaction kinetic equation for the hydrodecarbonization reaction refers to the equation relating the reaction rate constant to the carbon residue value of the hydrogenated oil to be measured.

[0072] In one specific embodiment, the reaction kinetic equation is as follows (6):

[0073]

[0074] In equation (6), C CCRThe carbon residue (wt%) of the tested hydrotreated oil is represented by C. CCR0 The value of the heavy oil feedstock (wt%) represents the carbon residue, t represents the residence time of the heavy oil feedstock after passing through the hydrogenation catalyst (h), and n represents the reaction order of the hydrogenation decarbonization reaction.

[0075] Furthermore, n can be 1.3 to 2.2, for example, 1.5 to 1.8 or 1.9 to 2.1. For instance, n can be 1.7; or n can be 2.

[0076] This disclosed method innovatively establishes the characteristic factor H of the hydrodecarbonization reaction. CCR With the reaction rate constant k CCR The relationship between these parameters allows for the prediction of the carbon residue value of hydrotreated oil under different process conditions based on the specific characteristic properties of heavy oil feedstocks, with high prediction accuracy. The characteristic properties involved are all readily available conventional parameters, making the implementation of this method more convenient and eliminating the need for additional complex tests or specialized equipment, thus reducing operational difficulty and cost. Furthermore, the reaction kinetic model and carbon residue value prediction method established by this method can also be used to determine appropriate process conditions based on the requirements of heavy oil feedstock and product properties (i.e., the prediction results). This has practical guiding significance for optimizing gradation schemes in industrial applications and developing higher-performance heavy oil hydrotreating catalysts in the future.

[0077] The following embodiments will further illustrate this disclosure, but do not limit this disclosure.

[0078] In the examples, the sulfur content of the heavy oil feedstock was tested using GB / T 17040-2008, the nickel content using SH / T 0715, the vanadium content using SH / T 0715, the saturated and aromatic content using SH / T 0509, the gum and asphaltenes content using SH / T 0509, the carbon residue value using GB / T 17144-1997, and the viscosity using GB / T 11137-1989(2004). All catalysts used in the examples were purchased from Changling Branch of Sinopec Catalyst Co., Ltd.

[0079] Example 1

[0080] The heavy oil feedstock 1 used in this embodiment is atmospheric residue oil, with a 5% distillation temperature of 382.6℃. Its characteristic properties, such as sulfur content, are shown in Table 1.

[0081] The heavy oil feedstock 1 was fed into a fixed-bed reactor for hydrotreating and decarbonization to obtain the hydrotreated product oil to be tested. The fixed-bed reactor was loaded with hydrotreating protective agent RG-30B, hydrodemetallizing agent RDM-32, and hydrodesulfurization and decarbonization agent RMS-30 in a volume ratio of 1:9.9:9.9. The hydrotreating and decarbonization reaction conditions were: temperature 380℃, pressure 15.0 MPa, and liquid hourly space velocity 0.2 h⁻¹. -1 Hydrogen-to-oil ratio 700 Nm 3 / m 3 .

[0082] Substituting the sulfur content, nickel content, vanadium content, saturated and aromatic content, resin and asphaltenes content, carbon residue, and viscosity of heavy oil feedstock 1 into the characteristic factor equation (1) below, the characteristic factor H is calculated. CCR :

[0083] H CCR =S a +U b +A c +CCR d +Q e (1)

[0084] In equation (1), H CCR The following are the characteristic factors: S represents sulfur content (wt%), a is 0.09, U represents metal component content factor calculated according to formula (2), b is 0.01, A represents hydrocarbon component content factor calculated according to formula (3), c is 0.01, CCR represents carbon residue value (wt%), d is -0.01, Q represents viscosity factor calculated according to formula (4), e is -0.923;

[0085]

[0086] In equation (2), m v Represents vanadium content (ppm), m Ni Represents nickel content (ppm);

[0087]

[0088] In equation (3), m 饱和分芳香分 m represents the content of saturated and aromatic components (wt%). 胶质沥青质 Represents the content of resins and asphalt (by weight %);

[0089] Q = logμ (4)

[0090] In equation (4), μ represents viscosity (100℃, mm). 2 / s).

[0091] The calculated characteristic factor H CCRSubstituting the characteristic factor-reaction rate constant relationship into the following equation (5), the reaction rate constant k is calculated. CCR :

[0092] k CCR =pH CCR -q (5)

[0093] In equation (5), k CCR The values ​​represent the reaction rate constants, with p = 0.078 and q = 0.320.

[0094] The calculated reaction rate constant k CCR Substituting into the reaction kinetic equation (6) below, the predicted carbon residue value of the hydrogenated oil to be tested is calculated:

[0095]

[0096] In equation (6), C CCR The carbon residue (wt%) of the tested hydrotreated oil is represented by C. CCR0 The carbon residue value (wt%) represents the heavy oil feedstock, t is the residence time (h) of the heavy oil feedstock after passing through the hydrogenation catalyst, and n is 1.7.

[0097] The carbon residue value of the hydrogenated oil to be tested was measured, and the measured values ​​and predicted values ​​are listed in Table 2. The deviation between the measured values ​​and the predicted values ​​is calculated according to the following formula (7).

[0098] Deviation = |Predicted value - Measured value| / Predicted value × 100% (7)

[0099] Example 2

[0100] The carbon residue value of the hydrotreated product oil obtained by hydrotreating heavy oil feedstock 2 with carbon removal was predicted according to the method in Example 1. Heavy oil feedstock 2 is atmospheric residue oil with a 5% wt distillation temperature of 380.0℃. Its sulfur content and other characteristic properties are shown in Table 1. The measured and predicted carbon residue values ​​of the obtained hydrotreated product oil are listed in Table 2.

[0101] Example 3

[0102] The carbon residue value of the hydrotreated product oil obtained by hydrotreating heavy oil feedstock 3 according to the method in Example 1 was predicted. Heavy oil feedstock 3 is atmospheric residue oil with a 5% wt distillation temperature of 378.4℃. Its characteristic properties, such as sulfur content, are shown in Table 1. The measured and predicted carbon residue values ​​of the obtained hydrotreated product oil are listed in Table 2.

[0103] Example 4

[0104] The carbon residue value of the hydrotreated product oil obtained from the hydrodecarbonization reaction of heavy oil feedstock 1 was predicted according to the method in Example 1. The difference was that the conditions for the hydrodecarbonization reaction were: temperature 390°C, pressure 16.0 MPa, and liquid hourly space velocity 0.25 h⁻¹. -1 Hydrogen-to-oil ratio 800 Nm 3 / m 3 The measured and predicted carbon residue values ​​of the hydrogenated oil are listed in Table 2.

[0105] Example 5

[0106] The carbon residue value of the hydrotreated product oil obtained by hydrotreating heavy oil feedstock 4 according to the method in Example 1 was predicted. Heavy oil feedstock 4 is atmospheric residue oil with a 5% wt distillation temperature of 380.2℃. Its sulfur content and other characteristic properties are shown in Table 1. The measured and predicted carbon residue values ​​of the obtained hydrotreated product oil are listed in Table 2.

[0107] Example 6

[0108] The carbon residue value of the hydrotreated product oil obtained by hydrotreating heavy oil feedstock 5 with carbon removal was predicted according to the method in Example 1. Heavy oil feedstock 5 is atmospheric residue oil with a 5% by weight distillation temperature of 395.6℃. Its sulfur content and other characteristic properties are shown in Table 1. The measured and predicted carbon residue values ​​of the obtained hydrotreated product oil are listed in Table 2.

[0109] Table 1

[0110]

[0111] Table 2

[0112]

[0113]

[0114] As shown in Table 2, the predicted carbon residue values ​​of the hydrotreated oil obtained using the method disclosed in this paper are close to the measured values, indicating high prediction accuracy. In particular, when the heavy oil feedstock has specific sulfur and nitrogen content ranges, it is beneficial to further improve the prediction accuracy.

[0115] The preferred embodiments of this disclosure have been described in detail above with reference to the accompanying drawings. However, this disclosure is not limited to the specific details of the above embodiments. Within the scope of the technical concept of this disclosure, various simple modifications can be made to the technical solutions of this disclosure, and these simple modifications all fall within the protection scope of this disclosure.

[0116] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, this disclosure will not describe the various possible combinations separately.

[0117] Furthermore, various different embodiments of this disclosure can be combined in any way, as long as they do not violate the spirit of this disclosure, they should also be regarded as the content disclosed in this disclosure.

Claims

1. A method of predicting the carbon residue number of a heavy oil hydroprocessing oil, characterized by, The method includes: Obtain heavy oil feedstock and characterize the characteristic properties of the heavy oil feedstock, wherein the characteristic properties include sulfur content, nickel content, vanadium content, saturated fraction and aromatic fraction content, resin and asphaltenes content, carbon residue value and viscosity; Obtain the hydrotreated product oil to be tested, wherein the hydrotreated product oil to be tested is obtained by hydrotreating the heavy oil feedstock to remove residual carbon; Substitute the characterization data of the heavy oil feedstock into the characteristic factor equation of the hydrodecarbonization reaction to calculate the characteristic factor of the hydrodecarbonization reaction; wherein, the characteristic factor equation is as follows (1): （1） In equation (1), H CCR Representative characteristic factor, S This represents sulfur content, expressed in % by weight. a The fitting index for sulfur content is... U The metal component content factor, b The fitting index for the metal component content factor. A The hydrocarbon component content factor, c The fitting index for the hydrocarbon component content factor. CCR Represents residual carbon value and is expressed in weight percentage. d The fitting index for residual carbon value, Q Represents the viscosity factor. e The viscosity factor fitting index; Substitute the characteristic factor into the characteristic factor-reaction rate constant relationship equation of the hydrodecarbonization reaction to calculate the reaction rate constant of the hydrodecarbonization reaction; wherein, the characteristic factor-reaction rate constant relationship equation is a linear regression fitting equation with the characteristic factor as the independent variable and the reaction rate constant as the dependent variable; Substitute the reaction rate constant into the reaction kinetic equation of the hydrodecarbonization reaction to calculate the predicted carbon residue value of the hydrogenated oil to be tested. In equation (1), U Calculated according to the following formula (2), A Calculated according to the following formula (3), Q Calculate according to the following formula (4): （2） In equation (2), m v This represents the vanadium content, expressed in ppm. m Ni This represents the nickel content, expressed in ppm. （3） In equation (3), m 饱和分芳香分 Represents the content of saturated and aromatic components, with the unit being % by weight. m 胶质沥青质 Represents the content of resins and asphaltenes, expressed in weight % %. （4） In formula (4), μ representing viscosity at 100°C and unit is mm 2 / s; The characteristic factor-reaction rate constant relationship equation is as follows (5): （5） In equation (5), k CCR Represents the reaction rate constant. p The value is 0.05~0.

1. q The value is 0.2~0.4; The reaction kinetic equation is as follows (6): （6） In equation (6), C CCR The carbon residue value represents the carbon residue of the hydrotreated oil to be tested, and the unit is % by weight. C CCR0 The carbon residue value represents the carbon content of the heavy oil feedstock, expressed in % by weight. t The term represents the residence time of the heavy oil feedstock after passing through the hydrogenation catalyst, and is expressed in hours (h). n This represents the reaction order of the hydrogenation decarbonization reaction.

2. The method of claim 1, wherein, In equation (1), a The value is 0.085~0.

10. b The value ranges from 0.005 to 0.

016. c The value ranges from 0.005 to 0.

018. d The range is from -0.013 to -0.

005. e The range is from -1.2 to -0.

8.

3. The method according to claim 1, wherein, In equation (6), n It ranges from 1.3 to 2.

2.

4. The method according to claim 1, wherein, The heavy oil feedstock is atmospheric residue oil, and 5% by weight of the heavy oil feedstock has a distillation temperature of 350°C or higher; and / or, The heavy oil feedstock has a sulfur content of 1.0 to 7.0% by weight and a nitrogen content of 0.01 to 0.6% by weight.

5. The method of claim 1, wherein, The hydrogenation decarbonization reaction is carried out in a fixed-bed reactor, which is filled with a hydrogenation catalyst.

6. The method of claim 5, wherein, The hydrogenation catalyst comprises an active metal component and a support; The active metal component is selected from at least one of nickel-tungsten, nickel-tungsten-cobalt, nickel-molybdenum, and cobalt-molybdenum; the support is selected from at least one of alumina, silicon dioxide, and amorphous aluminum silicate.

7. The method of claim 5, wherein, The hydrogenation catalyst comprises, in sequence, a hydrogenation protective agent, a hydrogenation demetallizing agent, and a hydrogenation desulfurization and decarbonization agent; The volume ratio of the hydrogenation protective agent, the hydrogenation demetallizing agent and the hydrogenation desulfurization and decarbonization agent is 1:(5~14):(5~14).

8. The method according to claim 1 or 5, wherein, The conditions for the hydrogenation decarbonization reaction include: a temperature of 320–450 °C, a pressure of 10–22 MPa, and a liquid hourly space velocity of 0.05–1.0 h⁻¹. -1 The hydrogen-to-oil volume ratio is 250~1500 Nm. 3 / m 3 .

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