CN115935763A - Method and system for evaluating abrasiveness of oil slurry system, electronic device and storage medium - Google Patents
Method and system for evaluating abrasiveness of oil slurry system, electronic device and storage medium Download PDFInfo
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Abstract
The invention discloses an evaluation method of abrasiveness of an oil slurry system, which comprises the following steps: establishing a preset parameter set of an oil slurry system; establishing a physical twinning full model of the slurry oil system; establishing a corrosion model and a wear model; inputting a preset parameter set and a physical twinning full model into a corrosion model and a wear model, and calculating a corrosion rate and a wear rate; extracting corrosion and abrasion key parts, and establishing a physical twinning detail model of the key parts; establishing an abrasion model of corrosion and abrasion coupling, and calculating the abrasion rate of a key part; and displaying the abrasiveness on the physical twinning detail models of the corresponding key parts and key parts of the physical twinning full model. The invention also discloses an evaluation system of the abrasiveness of the oil slurry system, electronic equipment and a storage medium. The invention considers the synergistic action of abrasion and corrosion, can quantitatively calculate the abrasion degree, has high accuracy and universality, and provides a basis for improving the safety management level of equipment and the monitoring and early warning level of production safety.
Description
Technical Field
The invention relates to the technical field of petrochemical industry, in particular to an evaluation method and system for abrasiveness of an oil slurry system, electronic equipment and a storage medium.
Background
The catalytic cracking slurry oil is a catalytic cracking fractionating tower bottom product, is a solid-liquid mixed phase system containing solid catalyst particles, and is powered by a slurry oil pump to establish the processes of tower bottom slurry oil circulation, slurry oil remill and slurry oil external throwing. However, catalyst particles mixed in the slurry oil can cause mechanical abrasion to the slurry oil pump and the pipeline in the conveying process, especially to the parts with high flow speed and abrupt change of flow state, and the catalytic slurry oil is generally poor in property, wherein existing corrosive media can cooperate with the mechanical abrasion to form local metal corrosion, so that the damage process of equipment and the pipeline is accelerated, and great hidden danger is brought to the safe production of the device.
At present, the monitoring and detection of the abrasion condition of refining and chemical equipment mainly adopt a thickness measuring method, the method is simple and convenient, and preventive protection measures can be taken on seriously thinned parts to prevent leakage. However, the thickness measuring method has several problems: (1) The method belongs to single-point detection, the selection of a detection part usually depends on the experience of technicians, and missed detection is easy to occur; (2) The operation temperature of the catalytic slurry lateral line is up to more than 300 ℃, a high-temperature probe and a high-temperature coupling agent are needed for measuring the thickness of a high-temperature part, the technical and cost requirements are high, the manual thickness measurement efficiency is low, and the danger is large; (3) The future extension to the local thinning of the abrasion can only be estimated from practical and empirical use. Therefore, it is necessary to develop an abrasion evaluation method suitable for a catalytic cracking slurry oil system, so as to timely grasp the abrasion condition of the slurry oil system and ensure the safe and stable operation of the catalytic slurry oil system.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
One objective of the present invention is to provide a method, a system, an electronic device, and a storage medium for evaluating abrasiveness of an oil slurry system, so as to solve the problems in the prior art that the abrasiveness influence of a catalytic cracking oil slurry system is difficult to quantify, and the risk assessment accuracy is poor.
To achieve the above object, according to a first aspect of the present invention, there is provided a method for evaluating abrasiveness of an oil slurry system, comprising: establishing a preset parameter set of an oil slurry system; establishing a physical twin full model of the slurry oil system; establishing a corrosion model and a wear model; inputting a preset parameter set and a physical twinning full model into a corrosion model and a wear model, and calculating a corrosion rate and a wear rate; extracting corrosion and abrasion key parts, and establishing a physical twinning detail model of the key parts; establishing an abrasion model of corrosion and abrasion coupling, and calculating the abrasion rate of the key part; and displaying the abrasiveness on the physical twinning detail models of the corresponding key parts and key parts of the physical twinning full model.
Further, in the above technical solution, the preset parameter set includes material medium parameters, process parameters, and equipment parameters.
Further, in the above technical solution, the material medium parameters include physical property parameters and composition parameters; the technological parameters comprise the temperature, pressure, flow and flow speed of different parts in the slurry oil system; the equipment parameters comprise the material, structure, model, original wall thickness, service years and current wall thickness of equipment, pipelines and pipe fittings in the oil slurry system.
Further, in the above technical scheme, the physical property parameters include density, viscosity, boiling point and average molecular mass; the composition parameters include solid content, sulfur content, chlorine content, and nitrogen content.
Further, in the above technical scheme, the composition parameters further include sulfur form distribution, active sulfur content, colloid content, asphaltene content, and solid impurity composition, form and particle size distribution.
Further, in the above technical solution, the physical twinning full model of the slurry oil system is a three-dimensional geometric structure model, which shows attribute information of each part, and the attribute information is taken from a preset parameter set.
Further, in the above technical solution, the corrosion model includes at least one of high temperature sulfur corrosion, chlorine stress corrosion cracking, and naphthenic acid corrosion.
Further, in the above technical solution, the establishing of the corrosion model includes: selecting hanging piece samples of different materials according to equipment parameters in a preset parameter set, wherein the hanging piece samples comprise all actual materials in a target catalytic cracking slurry oil system; preparing a simulated test medium according to the material medium parameters in the preset parameter set, wherein the test medium only comprises corrosive substances in a target catalytic cracking slurry oil system; setting test conditions according to the technological parameters in the preset parameter set, wherein the test conditions comprise the technological conditions in the target catalytic cracking slurry oil system; performing a corrosion test; and establishing a quantitative relation between the corrosion rate R and the material m of the sample, the total content w of the corrosion medium and the process condition p, namely a corrosion model R = f (m, w, p).
Further, in the above technical solution, the total content w of the etching medium is related to the type of the etching medium, the content of each type of etching medium, and the factor of the type of the etching medium.
Further, in the above technical solution, the performing of the corrosion test includes performing the corrosion test on the samples on the surfaces of the different samples by using the median data of the process condition p as a standard test, and obtaining the corrosion rate, wherein the corrosion rate of the sample without any surface treatment is R 0 And the corrosion rate of the sample after the i-type surface treatment is R i Definition of surface factor Fm without any treatment of the surface 0 Surface factor for surface treatment of the class 1,iFm i ＝R i /R 0 。
Further, in the above technical solution, the establishing of the wear model includes: extracting geometric models of straight pipes and irregular pipes from a physical twin full model of a catalytic cracking slurry oil system, dividing grids, and setting an initialization boundary condition according to information in a preset parameter set; performing flow field simulation to obtain a particle impact position, an impact angle and an instantaneous impact speed; establishing a quantitative relation between the abrasion rate V and the impact time tv of different parts in the system, the material m of the sample, the process condition p, the solid content s, the particle size d of solid particles, the medium density rho, the medium viscosity mu, the impact angle theta and the instantaneous impact speed u, namely establishing an abrasion model V = f (tv, m, p, s, d, rho, mu, theta, u).
Further, in the above technical scheme, the abrasion model is also related to the form, the particle size distribution and the solid impurity composition of the solid particles.
Furthermore, in the above technical scheme, the form of the solid particles is a form factor F q Modified wear rate, form factor F of round solid particles q Is 1, an elliptic solid particle form factor F q Is 1.2, square solid particle form factor F q Is 1.5; extracting three particle size values with the highest particle size distribution ratio to obtain solid particle size d i Corresponding distribution proportionality factor F di Correcting the wear rate in a weighted manner; the wear intensity index k of the solid particles obtained from the solid impurity composition modifies the wear rate.
Further, in the above technical scheme, the abrasion model is also related to the content of colloidal substances.
Further, in the above technical solution, the method for evaluating the abrasiveness of the slurry oil system further includes: the risk is graded according to the erosion rate and wear rate of each part.
Further, in the above technical solution, the risk grades are divided into: low risk, corrosion and wear rates less than 0.025mm/a; the greater of the erosion rate and the wear rate being greater than or equal to 0.025mm/a and less than 0.12mm/a; high risk, the greater of the corrosion rate and the wear rate being greater than or equal to 0.12mm/a and less than 0.25mm/a; a very high risk, the greater of the erosion rate and the wear rate being greater than or equal to 0.25mm/a, wherein non-low risk locations are determined as focal locations.
Further, in the above technical solution, the erosion rate of the key part is calculated according to the sum of the erosion rate and the wear rate; abrasiveness includes abrasion rate and risk rating.
Further, in the above technical solution, a preset parameter set, a corrosion mechanism, a corrosion rate, a wear rate, a residual wall thickness and a residual life of the current location are also displayed on the physical twinning detail model.
According to a second aspect of the present invention, there is provided a system for evaluating abrasiveness of an oil slurry system, comprising: the parameter acquisition module is used for acquiring a preset parameter set of the catalytic cracking slurry oil system; the model establishing module is used for establishing a physical twinning full model, a corrosion model, a wear model, a corrosion model and a physical twinning detail model of the oil slurry system; an abrasiveness evaluation module for evaluating abrasiveness according to a preset parameter set and the established model; and an information display module for displaying the abrasiveness in the physical twinning full model and the physical twinning detail model of the slurry oil system.
Further, in the above technical solution, the parameter obtaining module dynamically collects data in real time by the enterprise production data management system, the device design data, the daily monitoring and detecting data, the overhaul and maintenance data and the analysis and test system.
According to a third aspect of the invention, there is provided an electronic device comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to cause the at least one processor to perform the method for assessing abrasiveness of an oil slurry system as defined in any one of the above claims.
According to a fourth aspect of the present invention, there is provided a non-transitory computer readable storage medium storing computer executable instructions for causing a computer to perform the method for evaluating abrasiveness of an oil slurry system according to any one of the above aspects.
Compared with the prior art, the invention has one or more of the following advantages:
1. in the invention, the synergistic action of abrasion and corrosion is considered, relevant influence parameters are extracted from the mechanism angles of abrasion and corrosion, and an abrasion rate and corrosion rate calculation model is established, so that the abrasion degree can be quantitatively calculated, and the accuracy is high; the thickness measurement monitoring is not depended on, the cost is reduced, and the universality is high; the calculation result is used for guiding predictive maintenance, and a basis is provided for improving the equipment safety management level and the production safety monitoring and early warning level.
2. The invention can simultaneously realize qualitative and quantitative evaluation of abrasion condition, early warning of high risk parts and service life limit, and has strong functionality.
3. The calculation method is software-based, combines online monitoring to acquire required parameters in real time, dynamically calculates and warns, and has high automation and intelligence degrees.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical means of the present invention more clearly understood and to make the technical means implementable in accordance with the contents of the description, and to make the above and other objects, technical features, and advantages of the present invention more comprehensible, one or more preferred embodiments are described below in detail with reference to the accompanying drawings.
Drawings
Fig. 1 is a flowchart of a method for evaluating abrasiveness of an oil slurry system according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of a hardware configuration of an electronic apparatus that executes an evaluation method of abrasiveness of an oil slurry system according to an embodiment of the present invention.
Detailed Description
Specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the specific embodiments.
Throughout the specification and claims, unless explicitly stated otherwise, the term "comprise" or variations such as "comprises" or "comprising", etc., will be understood to imply the inclusion of a stated element or component but not the exclusion of any other element or component.
Spatially relative terms, such as "below," "lower," "upper," "above," "upper," and the like, may be used herein for ease of description to describe one element or feature's relationship to another element or feature in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations of the object in use or operation in addition to the orientation depicted in the figures. For example, if the items in the figures are turned over, elements described as "below" or "beneath" other elements or features would then be oriented "above" the elements or features. Thus, the exemplary term "below" can encompass both an orientation of below and above. The articles may be otherwise oriented (rotated 90 degrees or at other orientations) and the spatially relative terms used herein should be interpreted accordingly.
In this document, the terms "first", "second", etc. are used to distinguish two different elements or portions, and are not used to define a particular position or relative relationship. In other words, the terms "first," "second," and the like may also be interchanged with one another in some embodiments.
As shown in fig. 1, the flow of the method for evaluating the abrasiveness of the oil slurry system according to the embodiment of the present invention is as follows:
s110, establishing a preset parameter set of the slurry oil system.
The preset parameter set can be established by a plurality of monitoring data sets of different parts of the catalytic cracking slurry oil system. Further, in one or more exemplary embodiments of the present invention, data collected into a preset parameter set is selected based on the erosion mechanism, including the primary influencing factor and excluding the interference of unrelated factors. The preset parameter sets may include material media parameters, process parameters, and equipment parameters. Illustratively, the material medium parameters include physical property parameters and composition parameters; the process parameters comprise temperature, pressure, flow and flow speed of different parts in the oil slurry system; the equipment parameters comprise the material, structure, model, original wall thickness, service years and current wall thickness of equipment, pipelines and pipe fittings in the oil slurry system. Illustratively, the physical property parameters include density, viscosity, boiling point, and average molecular mass; the composition parameters include solid content, sulfur content, chlorine content, and nitrogen content. The composition parameters may also include sulfur morphology distribution, active sulfur content, colloid content, asphaltene content, and solid impurity composition, morphology, and particle size distribution.
S120, establishing a physical twinning full model of the slurry oil system.
Further, in one or more exemplary embodiments of the present invention, the physical twinning full model of the slurry oil system is a three-dimensional geometric structure model of the slurry oil system with reduced size, and has a function of displaying attribute information of different spatial portions, and the attribute information is taken from a preset parameter set.
S130, establishing a corrosion model and a wear model.
The S131 corrosion model comprises at least one of high-temperature sulfur corrosion, chlorine stress corrosion cracking, naphthenic acid corrosion and the like. The corrosion model is a quantitative characterization form of corrosion rate, and the establishment step of the corrosion model comprises the following steps: selecting hanging piece samples of different materials according to equipment parameters in a preset parameter set, wherein the hanging piece samples comprise all actual materials in a target catalytic cracking slurry oil system; preparing a simulated test medium according to the material medium parameters in the preset parameter set, wherein the test medium only comprises corrosive substances such as sulfur, chlorine and the like in the target catalytic cracking slurry oil system; setting test conditions according to the process parameters in the preset parameter set, wherein the test conditions comprise the process conditions in the target catalytic cracking slurry oil system; performing a corrosion test; and establishing a quantitative relation between the corrosion rate R and the material m of the sample, the total content w of the corrosion medium and the process condition p, namely a corrosion model R = f (m, w, p).
Further, in one or more exemplary embodiments of the present invention, the independent variables of the corrosion model further include the type of corrosion medium and the content w of each type of corrosion medium 1 、w 2 、w 3 …w n For example, in the high temperature sulfur corrosion model, the types of corrosion media can be classified into active sulfur and inactive sulfur. Exemplary types of corrosive media can be further classified as elemental sulfur, mercaptan sulfur, and thioether sulfurDisulfide, thiophenethiol, benzothiophenethiol. The different types of corrosive media providing different degrees of corrosion influence, using a corrosive media type factor F w And (6) correcting.
Further, in one or more exemplary embodiments of the present invention, the independent variables of the corrosion model further include the surface condition of the sample, such as the surface being subjected to oxidation treatment, the surface having mechanical damage, the surface being attached with a corrosion inhibitor film layer, the surface being not subjected to any treatment, and the like. The corrosion test is carried out by taking the median data of the process conditions p as standard test, carrying out the corrosion test on the samples on the surfaces of different samples and obtaining the corrosion rate, wherein the corrosion rate of the sample without any surface treatment is R 0 And the corrosion rate of the sample after the i-type surface treatment is R i Definition of surface factor Fm without any treatment of the surface 0 Surface factor Fm for surface treatment of class 1,i i ＝R i /R 0 。
S132, displaying the wear model in a wear rate form, wherein the building step of the wear model comprises the following steps: extracting geometric models of straight pipes and irregular pipes from a physical twin full model of a catalytic cracking slurry oil system, dividing grids, and setting an initialization boundary condition according to information in a preset parameter set; performing flow field simulation to obtain a particle impact position, an impact angle and an instantaneous impact speed; establishing a quantitative relation between the abrasion rate V and the impact time tv of different parts in the system, the material m of the sample, the process condition p, the solid content s, the particle size d of solid particles, the medium density rho, the medium viscosity mu, the impact angle theta and the instantaneous impact speed u, namely establishing an abrasion model V = f (tv, m, p, s, d, rho, mu, theta, u).
Further, in one or more exemplary embodiments of the present invention, the independent variables of the wear model also include the morphology of the solid particles, the particle size distribution, and the solid impurity composition. Further, in one or more exemplary embodiments of the invention, the solid particles are in the form of a form factor F q Correcting the wear rate, defining the form factor F of the round solid particles q Is 1, an elliptic solid particle form factor F q Is 1.2, square solid particle form factor F q Is 1.5; extracted particle size distribution ratioExample the highest three particle size values, the particle size d of the solid particles is obtained i Corresponding distribution proportionality factor F di Correcting the wear rate in a weighted manner; the wear intensity index k of the solid particles obtained from the solid impurity composition modifies the wear rate. Illustratively, the abrasion strength index k is obtained by placing a solid sample in an abrasion index analyzer, blasting it with a constant stream of air for a certain period of time, and calculating the average abrasion percentage.
Further, in one or more exemplary embodiments of the present invention, the wear model is also related to the gum content, such as gum and asphaltene content.
S140, inputting the preset parameter set and the physical twinning full model into the corrosion model and the wear model, and calculating the corrosion rate and the wear rate. Namely, the corrosion distribution and the solid-liquid abrasion distribution of the whole flow of the oil slurry system are obtained.
S150, grading the risk according to the corrosion rate and the abrasion rate of each part.
Further, in one or more exemplary embodiments of the present invention, the risk classification is divided into: low risk, corrosion and wear rates less than 0.025mm/a; the greater of the corrosion rate and the wear rate being greater than or equal to 0.025mm/a and less than 0.12mm/a; high risk, the greater of the corrosion rate and the wear rate being greater than or equal to 0.12mm/a and less than 0.25mm/a; a very high risk, the greater of the erosion rate and the wear rate being greater than or equal to 0.25mm/a, wherein the non-low risk locations are determined as important locations. It should be understood that the rate threshold of the present invention is not limited thereto, and may be set according to actual needs if the enterprise has its own control index.
S160, extracting corrosion and abrasion key parts, and establishing a physical twinning detail model of the key parts.
S170, establishing an erosion model of erosion and wear coupling, inputting the erosion rate and the wear rate into the erosion model, and calculating the erosion rate of the erosion and wear key parts.
And calculating the abrasion rate of the key part according to the sum of the abrasion rate and the abrasion rate. It should be understood that the present invention is not limited thereto, and the erosion rate may also be weighted according to actual needs, or obtained using other algorithms.
S180, displaying the abrasiveness on the physical twinning detail models of the corresponding key parts and key parts of the physical twinning full model.
Further, in one or more exemplary embodiments of the invention, the abrasiveness includes an abrasion rate and a risk rating.
For example, the preset parameter set, the corrosion mechanism, the corrosion rate, the wear rate, the residual wall thickness and the residual life of the current position can be hidden or displayed on the physical twinning detail model.
The system for evaluating the abrasiveness of the oil slurry system according to the embodiment of the invention comprises: the parameter acquisition module is used for acquiring a preset parameter set of the catalytic cracking slurry oil system; the model establishing module is used for establishing a physical twinning full model, a corrosion model, a wear model, a corrosion model and a physical twinning detail model of the oil slurry system; an abrasiveness evaluation module for evaluating abrasiveness according to a preset parameter set and the established model; and an information display module for displaying the abrasiveness in the physical twinning full model and the physical twinning detail model of the slurry oil system.
Further, in one or more exemplary embodiments of the present invention, the parameter acquisition module dynamically collects data in real time from the enterprise production data management system, the device design data, the daily monitoring and inspection data, the overhaul and maintenance data, and the analysis and test system.
The method, system, electronic device and storage medium for evaluating abrasiveness of an oil slurry system according to the present invention will be described in more detail by way of specific examples, which should be construed as merely illustrative and not limitative.
Example 1
This example is for explaining the step of establishing the corrosion model.
An example of corrosion analysis of pump outlet pipeline of a slurry system of a catalytic cracking unit of an enterprise. By mechanistic analysis, high temperature sulfur corrosion was present. The establishing step of the corrosion model comprises the following steps:
s11, according to equipment parameters in a preset parameter set, the pump outlet pipeline has two sections, the materials of the two sections are Cr5Mo and 316L respectively, and Cr5Mo and 316L material coupon samples are selected in a corrosion test.
S12, according to the material medium parameters with the preset parameter set, the medium only contains one corrosive substance of sulfur, and the mass content of sulfur is 2.0%. A simulated test medium was prepared with white oil as the base oil and 2% sulfide added.
S13, according to the technological parameters in the preset parameter set, the inlet and outlet temperatures of the pipeline at the section are respectively 300 ℃ and 280 ℃, the pressure is 1.5MPa, and the flow speed is 1.5m/S. Setting the test conditions, wherein the temperature is selected from 260 ℃, 280 ℃, 300 ℃, 320 ℃ and 340 ℃, the pressure is selected from 1.1MPa, 1.3MPa, 1.5MPa, 1.7MPa and 1.9MPa, and the flow rate is selected from 1.0m/s, 1.25m/s, 1.5m/s, 1.75m/s and 2.0m/s.
S14 performs a corrosion orthogonal test.
S15, establishing a quantitative relation between the corrosion rate R and the material m of the sample, the total content w of the corrosion medium and the process condition p, namely, establishing a corrosion model R = f (m, w, p). By data fitting, a corrosion model R =0.0023mT is obtained 0.71 P 0.97 w 0.19 +0.1036, wherein T is temperature, P is pressure, w is sulfur content, m is material coefficient, and m =1.2 when the material is Cr5 Mo; when the material is 316L, m =1.
Example 2
In the embodiment, a corrosion model is further optimized on the basis of the embodiment 1.
The type of sulfide and the content of various sulfides are further analyzed in a preset parameter set, wherein mercaptan sulfur accounts for 15% of the total sulfur, and benzothiophene sulfur accounts for 85% of the total sulfur. The sulfur thiol is highly corrosive, the sulfur benzothiophene is not corrosive, and the corrosion model is optimized as R 1 ＝0.0023mT 0.71 P 0.97 (F w w) 0.19 +0.1036, wherein the etching medium type factor F w ＝0.15。
In addition, the equipment parameters in the preset parameter set also indicate that the surface of the pipeline is subjected to oxidation treatment. Taking the median data of the corrosion test process conditions as a standard test, carrying out corrosion tests on different surface samples,that is, the test conditions were 300 ℃ C, 1.5MPa pressure, and 1.5m/s flow rate, and the coupon samples were both Cr5Mo samples subjected to oxidation treatment and Cr5Mo samples not subjected to oxidation treatment. Obtaining corrosion rates R i ＝0.1331mm/a，R 0 =0.2899mm/a. Surface factor Fm i ＝R i /R 0 ＝0.46。
The optimized corrosion model is: r 2 ＝Fm i *R 1 ＝0.0011mT 0.71 P 0.97 (F w w) 0.19 +0.0476。
Example 3
This embodiment is used to illustrate the steps of establishing the wear model.
The wear analysis example of the pump outlet pipeline of the slurry oil system of a catalytic cracking unit of an enterprise comprises the following steps of:
s21, extracting a geometric model of an outlet pipeline of the pump from a physical twinning full model of the catalytic cracking slurry oil system, dividing a grid, setting an initialization boundary condition according to information in a preset parameter set of the catalytic cracking slurry oil system, setting an inlet as a speed inlet and an outlet as a pressure outlet, setting an inlet speed to be 5m/S and an outlet pressure to be 1.0MPa, and not considering energy transfer and gravity.
S22, flow field simulation of different particle sizes, solid contents and process conditions is carried out, and different particle impact positions, impact angles and instantaneous impact speeds are obtained.
S23, establishing a quantitative relation between the abrasion rate V and the impact time tv of different parts in the system, the material m of the sample, the process condition p, the solid content S, the particle size d of solid particles, the medium density rho, the medium viscosity mu, the impact angle theta and the instantaneous impact speed u, namely an abrasion model V = f (tv, m, p, S, d, rho, mu, theta, u). Obtaining a wear model by data fitting
V＝mP 0.97 sρd 0.7 b(θ)u 1.19 /(μtv)，
b(θ)＝b 1 θ 4 +b 2 θ 3 +b 3 θ 2 +b 4 θ+b 5 ，
Wherein, b 1 、b 2 、b 3 、b 4 、b 5 Respectively-23.07, 10.31, 26.59, 31.21 and 3.83, and the value range of theta is 0-pi/2. When the material is Cr5Mo, m =1.2; when the material is 316L, m =1.P is pressure, s is solid content, d is solid particle size, ρ is media density, μ is media viscosity, θ is impact angle, and u is instantaneous impact velocity.
Example 4
The embodiment further optimizes the wear model on the basis of the embodiment 3.
The preset parameter set further comprises the morphological distribution of solid particles, wherein the circular particles account for 25%, the elliptical particles account for 63%, and the angular quasi-square particles account for 12%. Calculation of form factor F q 0.25+1.2 + 0.63+1.5 + 0.12=1.186, the wear model is optimized as follows:
V＝1.186mP 0.97 sρd 0.7 b(θ)u 1.19 /(μtv)。
example 5
The present embodiments provide a non-transitory (non-volatile) computer storage medium storing computer-executable instructions that can perform the methods of any of the method embodiments described above and achieve the same technical effects.
Example 6
The present embodiments provide a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the method of the above aspects and achieve the same technical effects.
Example 7
Fig. 2 is a schematic diagram of the hardware configuration of the electronic apparatus for executing the method for evaluating the abrasiveness of the slurry system according to the embodiment. The device includes one or more processors 610 and memory 620. Take a processor 610 as an example. The apparatus may further include: an input device 630 and an output device 640.
The processor 610, the memory 620, the input device 630, and the output device 640 may be connected by a bus or other means, such as the bus connection in fig. 2.
The memory 620, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules. The processor 610 executes various functional applications and data processing of the electronic device, i.e., the processing method of the above-described method embodiment, by executing the non-transitory software programs, instructions and modules stored in the memory 620.
The memory 620 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data and the like. Further, the memory 620 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 620 optionally includes memory located remotely from the processor 610, which may be connected to the processing device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 630 may receive input numeric or character information and generate a signal input. The output device 640 may include a display device such as a display screen.
One or more modules are stored in the memory 620 that, when executed by the one or more processors 610, perform:
establishing a preset parameter set of an oil slurry system;
establishing a physical twinning full model of the slurry oil system;
establishing a corrosion model and a wear model;
inputting a preset parameter set and a physical twinning full model into a corrosion model and a wear model, and calculating a corrosion rate and a wear rate;
extracting corrosion and abrasion key parts, and establishing a physical twinning detail model of the key parts;
establishing an abrasion model of corrosion and abrasion coupling, and calculating the abrasion rate of the key part;
and displaying the abrasiveness on the physical twinning detail models of the corresponding key points and key points of the physical twinning full model.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a general hardware platform, and certainly can also be implemented by hardware. With this in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods of the various embodiments or some parts of the embodiments.
The foregoing descriptions of specific exemplary embodiments of the present invention have been presented for purposes of illustration and description. It is not intended to limit the invention to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The exemplary embodiments were chosen and described in order to explain certain principles of the invention and its practical application to enable one skilled in the art to make and use various exemplary embodiments of the invention and various alternatives and modifications as are suited to the particular use contemplated. Any simple modifications, equivalent changes and modifications made to the above exemplary embodiments shall fall within the scope of the present invention.
Claims (18)
1. A method for evaluating abrasiveness of an oil slurry system, comprising:
establishing a preset parameter set of an oil slurry system;
establishing a physical twinning full model of the slurry oil system;
establishing a corrosion model and a wear model;
inputting a preset parameter set and a physical twinning full model into a corrosion model and a wear model, and calculating a corrosion rate and a wear rate;
extracting corrosion and abrasion key parts, and establishing a physical twinning detail model of the key parts;
establishing an abrasion model of corrosion and abrasion coupling, and calculating the abrasion rate of the key part; and
and displaying the abrasiveness on the physical twinning detail models of the corresponding key points and key points of the physical twinning full model.
2. The method for evaluating abrasiveness of an oil slurry system according to claim 1, wherein the physical twinning full model of the oil slurry system is a three-dimensional geometric structure model showing property information of each portion, the property information being taken from the preset parameter set.
3. The method of claim 1, wherein the corrosion model comprises at least one of high temperature sulfur corrosion, chlorine stress corrosion cracking, naphthenic acid corrosion.
4. The method of claim 3, wherein the establishing a corrosion model comprises:
selecting hanging piece samples of different materials according to equipment parameters in a preset parameter set, wherein the hanging piece samples comprise all actual materials in a target catalytic cracking slurry oil system;
preparing a simulated test medium according to the material medium parameters in the preset parameter set, wherein the test medium only comprises corrosive substances in the target catalytic cracking slurry oil system;
setting test conditions according to the technological parameters in the preset parameter set, wherein the test conditions comprise the technological conditions in the target catalytic cracking slurry oil system;
performing a corrosion test;
and establishing a quantitative relation between the corrosion rate R and the material m of the sample, the total content w of the corrosion medium and the process condition p, namely a corrosion model R = f (m, w, p).
5. The method for evaluating abrasiveness of an oil slurry system according to claim 4, wherein the total content w of corrosive media is related to the type of corrosive media, the content of each type of corrosive media, and the factor of the type of corrosive media.
6. The method of claim 5, wherein the performing of the corrosion test comprises performing the corrosion test on the samples of different sample surfaces using the median data of the process condition p as a standard test, and obtaining the corrosion rates, wherein the corrosion rate of the sample without any surface treatment is R 0 And the corrosion rate of the sample after the i-type surface treatment is R i Definition of surface factor Fm without any treatment of the surface 0 Surface factor Fm for surface treatment of class 1,i i ＝R i /R 0 。
7. The method of claim 6, wherein the establishing a wear model comprises:
extracting geometric models of straight pipes and irregular pipes from a physical twin full model of a catalytic cracking slurry oil system, dividing grids, and setting an initialization boundary condition according to information in a preset parameter set;
performing flow field simulation to obtain a particle impact position, an impact angle and an instantaneous impact speed;
establishing a quantitative relation between the abrasion rate V and the impact time tv of different parts in the system, the material m of the sample, the process condition p, the solid content s, the particle size d of solid particles, the medium density rho, the medium viscosity mu, the impact angle theta and the instantaneous impact speed u, namely establishing an abrasion model V = f (tv, m, p, s, d, rho, mu, theta, u).
8. The method of claim 7, wherein the wear model is further related to the morphology, particle size distribution, and solid impurity composition of the solid particles.
9. The method of claim 8, wherein the solid particles are in the form of a form factor F q Modified wear rate, form factor F of round solid particles q Is 1, an elliptic solid particle form factor F q Is 1.2, square solid particle form factor F q Is 1.5; extracting three particle size values with the highest particle size distribution ratio to obtain solid particle size d i Corresponding distribution proportionality factor F di Correcting the wear rate in a weighted manner; the wear intensity index k of the solid particles obtained from the solid impurity composition modifies the wear rate.
10. The method of claim 8, wherein the wear model is further related to gum content.
11. The method for evaluating abrasiveness of an oil slurry system according to claim 8, further comprising:
the risk is graded according to the erosion rate and wear rate of each part.
12. The method for evaluating abrasiveness of an oil slurry system according to claim 11, wherein the risk classification is:
low risk, corrosion rate and abrasion rate less than 0.025mm/a;
the greater of the corrosion rate and the wear rate being greater than or equal to 0.025mm/a and less than 0.12mm/a;
a high risk, the greater of the corrosion rate and the wear rate being greater than or equal to 0.12mm/a and less than 0.25mm/a;
a very high risk, the greater of the corrosion rate and the wear rate being greater than or equal to 0.25mm/a,
wherein the non-low risk region is determined as the important region.
13. The method for evaluating abrasiveness of an oil slurry system according to claim 11, wherein the erosion rate of the key portion is calculated from a sum of the erosion rate and the wear rate;
abrasiveness includes abrasion rate and risk rating.
14. The method for evaluating the abrasiveness of the slurry oil system according to claim 11, wherein the physical twinning detail model further displays a preset parameter set, a corrosion mechanism, a corrosion rate, a wear rate, a residual wall thickness and a residual life of the current location.
15. An evaluation system for abrasiveness of an oil slurry system, comprising:
the parameter acquisition module is used for acquiring a preset parameter set of the catalytic cracking slurry oil system;
the model establishing module is used for establishing a physical twinning full model, a corrosion model, a wear model, a corrosion model and a physical twinning detail model of the oil slurry system;
an abrasiveness evaluation module for evaluating abrasiveness according to a preset parameter set and the established model; and
and the information display module is used for displaying the abrasiveness on the physical twinning full model and the physical twinning detail model of the oil slurry system.
16. The system for evaluating abrasiveness of an oil slurry system according to claim 15, wherein the parameter acquisition module dynamically acquires data in real time from an enterprise production data management system, a device design data, a daily monitoring data, a maintenance data, and an analytical testing system.
17. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the method of assessing abrasiveness of an oil slurry system according to any one of claims 1-14.
18. A non-transitory computer-readable storage medium storing computer-executable instructions for causing a computer to perform the method for evaluating abrasiveness of an oil slurry system according to any one of claims 1 to 14.
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| CN117078003A (en) * | 2023-07-20 | 2023-11-17 | 山东特检科技有限公司 | Risk assessment method for corrosion of static equipment |
| CN117078003B (en) * | 2023-07-20 | 2024-02-27 | 山东特检科技有限公司 | Risk assessment method for corrosion of static equipment |
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